共查询到19条相似文献,搜索用时 968 毫秒
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普适计算中的定位感知系统 总被引:6,自引:0,他引:6
普适计算的目的是为了使计算机更好地为人类服务,提高人们的生活质量。普适计算中的定位感知系统是普适计算研究中的核心部分之一。如何确定室内用户的动态位置信息,如何主动向用户提供各种所需的信息,都是本文的研究话题。文章最后给出一种自行设计的普适计算室内定位感知系统的最小功能模型。 相似文献
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普适计算中的上下文及纯方位定位模型 总被引:6,自引:1,他引:5
室内高精度定位问题是普适计算中位置感知研究的首要难题。介绍了普适计算中上下丈的概念,就上下文中的位置问题进行了探讨。通过分析目前室内定位中存在的问题,给出了一种利用红外无源定位技术定位的模型,通过测得的方位角计算出用户的位置。对该模型进行了证明,证明结果显示该模型可以定出目标的准确位置。 相似文献
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上下文感知技术是普适计算研究领域的的热点问题。该文探讨了上下文信息的获取、建模、管理及推理方法,重点介绍上下文感知系统的体系结构。并结合老年人健康监护推荐系统的设计,分析了上下文感知技术在系统中的应用。 相似文献
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普适计算应用中的设备是情境感知的载体和情境感知行为的执行者,起着关键性的作用。在一个持续运行的普适计算系统中,设备的损坏和更新是时有发生的,如何让用户以最小的代价完成设备的更新是该系统得以广泛应用的基础。本文在前期给出的基于OSGi/R-OSGi的普适计算框架基础上,提出了一种不需要系统开发人员介入的设备动态更新机制,以解决设备更新时存在的异构性问题。 相似文献
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移动情境感知及其交互研究 总被引:3,自引:0,他引:3
结合情境信息的移动应用和交互研究是普适计算领域中非常重要的内容.综合移动情境感知相关研究的发展,从人机交互研究的角度,提出了基于用户、环境和任务的情境信息分类方法.根据情境信息的数据获取、数据表示、系统架构、数据处理、服务应用和系统评价等六个方面,分析了移动情境感知应用研究的关键问题,总结了移动情境感知对人机交互研究中的研究方法、数据收集、用户控制感及交互方式等产生的影响.最后提出了当前移动情境感知及其交互研究中存在的问题和可能的研究方向. 相似文献
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普适计算的人机交互框架研究 总被引:24,自引:0,他引:24
普适计算通过向用户提供透明的计算服务使其注意力回归到任务本身.它正在逐步发展成主流的计算模式.人机交互的效率和自然性是影响其发展的关键因素之一.文章从认知心理学的角度分析了用户在普适计算环境中的认知特征,论证了人类有限的认知是普适人机交互中的瓶颈,计算系统的交互模式必须适应用户的认知特征.据此提出了普适计算模式的Multimodal context-sensitive交互框架,对上下文信息和用户多通道主动输入信息进行无缝融合,作者将其在移动导游导航系统TGH中加以实现.用户评测结果初步证明该框架对于提高普适计算人机交互效率和自然性具有良好的效果。 相似文献
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随着普适计算的不断发展,室内定位技术的研究也成为当今研究的热点问题。室内定位技术的不断进步使得RFID也开始部署到各种各样的室内场景。为了提高室内空间中的定位精度,提出了一种基于感知规则集策略的约束空间RFID室内符号定位方法。算法基于室内空间中的符号,通过定义感知情况来确立定位规则,使得算法具有良好的室内空间适应性,且使用少量的阅读器即可实现较高精度的定位。为了提高定位精度,引入了感知规则集的概念,对场景中的情况抽象提取,进一步增加算法定位精度。最后,以约束空间中的室内场景作为实验环境对算法进行验证,分析结果表明,在室内空间中算法的定位精度及抗干扰能力优于现有算法。 相似文献
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位置感知计算的概论、关键问题和技术探讨 总被引:3,自引:0,他引:3
自从Mark Weiser在1991年提出普适计算的思想以来,计算模式经历主机计算、桌面计算的阶段后正朝普适计算方向蓬勃发展.上下文感知是普适计算的最重要的特征,同时也是主要的研究领域.自从二十世纪70年代美国军方推出军民两用的室外定位系统GPS,以及1989年Roy Want等开发出支持大规模使用、价格低廉的室内位置传感系统Active Badge以来,位置感知由于其高鲁棒性和确定性、技术的可获得性而成为当前上下文感知计算的一个真正的研究热点.本文从普适计算和智能空间的特征和要求出发,阐述了位置感知计算的主要概念、思想,并根据当前最新的研究状况,解释了位置感知计算面临的主要问题和相应的技术方法,最后叙述了作为本课题组研究的试验系统--智能教室的技术路线. 相似文献
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无论是普适计算还是物联网,定位都是其关键技术之一,为了解决现有的定位技术多面向某一特定应用开发、缺乏通用性等问题,构建了一个通用的实时位置感知中间件UbiRTLM.将应用服务从位置感知技术中分离出来,可以不需要更改原有的应用及服务而动态扩展新的定位技术.通过实验验证了UbiRTLM的定位精度及相关功能.结果表明:UbiRTLM能够满足大多数应用的精度需书并能处理相应的服务请求. 相似文献
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José L. Hernández M. Victoria Moreno Antonio J. Jara Antonio F. Skarmeta 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2014,18(9):1659-1674
The evolution of wireless communications and pervasive computing is transforming current physical spaces into real smart environments. These emerging scenarios are expected to be composed by a potentially huge amount of heterogeneous smart objects which can be remotely accessed by users via their mobile devices anytime, anywhere. In this paper, we propose a distributed location-aware access control mechanism and its application in the smart building context. Our approach is based on an access control engine embedded into smart objects, which are responsible to make authorization decisions by considering both user location data and access credentials. User location data are estimated using a novel indoor localization system based on magnetic field data sent by user through her personal phone. This localization system implements a combination of soft computing techniques over the data collected by smartphones. Therefore, our location-aware access control mechanism does not require any intermediate entity, providing the benefits of a decentralized approach for smart environments. From the results obtained, we can consider our proposal as a promising approach to tackle the challenging security requirements of typical pervasive environments. 相似文献
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Location awareness through trajectory prediction 总被引:1,自引:1,他引:1
Location-aware computing is a type of ubiquitous computing that uses user’s location information as an essential parameter for providing services and application-related optimization. Location management plays an important role in location-aware computing because the provision of services requires convenient access to dynamic location and location-dependent information. Many existing location management strategies are passive since they rely on system capability to periodically record current location information. In contrast, active strategies predict user movement through trajectories and locations. Trajectory prediction provides richer location and context information and facilitates the means for adapting to future locations. In this paper, we present two models for trajectory prediction, namely probability-based model and learning-based model. We analyze these two models and conduct experiments to test their performances in location-aware systems. 相似文献
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An indoor positioning system that uses a location fingerprinting technique based on the received signal strength of a wireless local area network is an enabler for indoor location-aware computing. Data analysis of the received signal strength indication is very essential for understanding the underlying location-dependent features and patterns of location fingerprints. This knowledge can assist a system designer in accurately modeling a positioning system, improving positioning performance, and efficiently designing such a system. This study investigates extensively through measurements, the features of the received signal strength indication reported by IEEE 802.11b/g wireless network interface cards. The results of the statistical data analysis help in identifying a number of phenomena that affect the precision and accuracy of indoor positioning systems. 相似文献
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Ackerman Mark S. Dong Tao Gifford Scott Kim Jungwoo Newman Mark W. Prakash Atul Qidwai Sarah Garcí a David Villegas Paulo Cadenas Alejandro S nchez-Esguevillas Antonio Aguiar Javier Carro Bel n Mailander Sean Schroeter Ronald Foth Marcus Bhattacharya Amiya Dasgupta Partha 《Pervasive Computing, IEEE》2009,8(4):28-32
This issue includes four works in process on issues and applications in location-aware computing: letting users set and control privacy policies when they use location-aware applications, cold-starting recommender systems for mobile location-aware services, aggregating contextual information for location-based applications, and applying location-based services to public transportation environments. The department also includes a report on lightweight virtualization of low-power wireless personal area networks. 相似文献
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多级能量异构无线传感器网络的能量预测和可靠聚簇路由协议 总被引:2,自引:0,他引:2
传感器网络技术是普通计算中实现位置感知和上下文感知的主要技术手段,有着广泛的应用前景.文中提出了一种适合普适计算环境下多级能量异构尢线传感器网络的新的剩余能量预测REP模型和可靠聚簇路由RCR协议.协议中节点通过建立相邻节点剩余能量预测机制,使选举簇头节点的概率与节点当前剩余能晕直接相关,以优化数据传输路径.均衡节点的能量消耗.延长网络寿命.此外还通过多簇头方法.采用每个簇由多簇头节点共同承担簇头节点的作用,提高数据传输可靠件.仿真实验结果表明,RCR协议能获得比LEACH协议和HEED协议等主要聚簇协议更长的生存时间、更高的能量利用率和更高的数据传输可靠性. 相似文献
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This paper presents a location model for location-aware and user-aware services in smart environments. It can be dynamically organized like a tree based on geographical containment, such as that in a user–room–floor–building hierarchy and each node in the tree can be constructed as an executable software component. The model is unique in existing approaches because it enables location-aware services to be managed without any database servers, it can be managed by multiple computers, and it can provide a unified view of the locations of not only physical entities and spaces, including users and objects, but also computing devices and services. A prototype implementation of this approach was constructed on a Java-based mobile agent system. This paper presents the rationale, design, implementation, and applications of the prototype system. 相似文献