现代战斗车辆能量体系结构研究

为满足战斗车辆能量保障、能量体系及能源利用效率的需求,对战斗车辆能量体系结构进行研究。在分 析现代战斗车辆能量需求的基础上,对战斗车辆的能量负载类型和负载所担负的功能进行划分,针对能量分配模式 存在的问题,构建具有智能化管理及综合集成的战斗车辆能量体系,通过区域能量控制与栅格能量控制相结合的能 量分配,采用中间件技术架构能量管理软件,提出实现战斗车辆能量体系国产化的建议。该研究对提高整个联合作 战部队的持续作战能力具有现实意义。     

Ztreamy: A middleware for publishing semantic streams on the Web

In order to make the semantic sensor Web a reality, middleware for efficiently publishing semantically-annotated data streams on the Web is needed. Such middleware should be designed to allow third parties to reuse and mash-up data coming from streams. These third parties should even be able to publish their own value-added streams derived from other streams and static data. In this work we present Ztreamy, a scalable middleware platform for the distribution of semantic data streams through HTTP. The platform provides an API for both publishing and consuming streams, as well as built-in filtering services based on data semantics. A key contribution of our proposal with respect to other related systems in the state of the art is its scalability. Our experiments with Ztreamy show that a single server is able, in some configurations, to publish a real-time stream to up to 40 000 simultaneous clients with delivery delays of just a few seconds, largely outperforming other systems in the state of the art.     

A mobile crowd sensing ecosystem enabled by CUPUS: Cloud-based publish/subscribe middleware for the Internet of Things

Mobile crowd sensing (MCS) is a novel class of mobile Internet of Things (IoT) applications for community sensing where sensors and mobile devices jointly collect and share data of interest to observe phenomena over a large geographic area. The inherent device mobility and high sensing frequency has the capacity to produce dense and rich spatiotemporal information about our environment, but also creates new challenges due to device dynamicity and energy constraints, as well as large volumes of generated raw sensor data which need to be processed and analyzed to extract useful information for end users. The paper presents an ecosystem for mobile crowd sensing which relies on the CloUd-based PUblish/Subscribe middleware (CUPUS) to acquire sensor data from mobile devices in a flexible and energy-efficient manner and to perform near real-time processing of Big Data streams. CUPUS has unique features compared to other MCS platforms: It enables management of mobile sensor resources within the cloud, supports filtering and aggregation of sensor data on mobile devices prior to its transmission into the cloud based on global data requirements, and can push information of interest from the cloud to user devices in near real-time. We present our experience with implementation and deployment of an MCS application for air quality monitoring built on top of the CUPUS middleware. Our experimental evaluation shows that CUPUS offers scalable processing performance, both on mobile devices and within the cloud, while its data propagation delay is mainly affected by transmission delay on wireless links.     

面向服务的多源异构数据Web浏览系统研究与实现

分析了当前GIS空间数据多源异构的状况,介绍了解决多源异构数据共享问题的相关技术,提出了一种网络环境下浏览多源异构空间数据的系统架构,该系统面向服务基于MapGIS数据中心和MapGIS IMS-SOA开发.该体系能够充分利用现有数据资源和网络资源.     

基于Widget的终端能力开放技术研究

终端能力开放是运营商在移动互联网飞速发展态势下,为提升自身竞争能力、构建全业务能力开放体系的一个重要方面。本文从终端能力的范围界定出发,分析和比较了现有的终端能力开放技术,并就Widget技术实现终端能力开放的技术架构和关键技术进行了研究。最后通过应用案例阐述了Widget的技术价值。     

基于Web中间件的运维管理系统的性能优化方法研究与实践

从运维管理系统的实际情况出发,分析基于中间件的Web体系结构的系统技术特点,对该类型的运维管理系统实际运行环境(主机系统、网络、数据库、中间件、应用结构)出现的性能故障进行全面分析,找出影响性能的原因,给出调整参数的理论方法。通过系统运行过程的不断优化,得出合理的参数值,以减少和消除运维管理系统性能导致的用户感知差的影响。     

基于ACE框架的话费代收系统的设计与实现

根据网通公司电话银行系统的现状和公司对系统省级集中控制的需求,基于先进的网络应用开发中间件ACE自适配通信环境,设计并实现了网通话费代收系统。     

Building a Platform to Bridge Low End Mobile Phones and Cloud Computing Services

Two waves of technology are dramatically changing daily life: cloud computing and mobile phones. New cloud computing services such as webmail and content rich data search have emerged. However, in order to use these services, a mobile phone must be able to run new applications and handle high network bandwidth. Worldwide, about 3.45 billion mobile phones are low end phones;they have low bandwidth and cannot run new applications. Because of this technology gap, most mobile users are unable to experience cloud computing services with their thumbs. In this paper, a novel platform, Thumb-in-Cloud, is proposed to bridge this gap.Thumb-in-Cloud consists of two subsystems: Thumb-Machine and Thumb-Gateways. Thumb-Machine is a virtual machine built into a low end phone to enable it to run new applications. Thumb-Gateways can tailor cloud computing services by reformatting and compressing the service to fit the phone' s profile.     

基于ZigBee技术的温室大棚环境监控系统应用探究

本文的主要针对基于ZigBee的温室大棚环境监控硬件系统需求,构建无线传感器网络的节点端、中间件和客户端,使用Lab VIEW平台开发监控系统客户端界面,在Mote Works中开发一些自组网技术的节点端,负责对传感器采集的到的一些数据进行存储转发,而中间件是由Xserve去实现并对组建的模拟系统进行测试。     

物联网数据采集中间件模型的设计与实现

物联网的快速发展导致了异构数据源大量出现,这一问题逐渐成为物联网发展的瓶颈。文中基于XML技术提出并实现了一种物联网数据采集中间件模型,该模型便于将异构数据源的数据信息进行标准统一化,为上层应用提供Webservice服务的同时,还提供了标准表数据调用。为消除物联网快速发展瓶颈及物联网相关技术研究等方面提供了参考。