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Integrated location management in mobile multimedia networks and its role in the development of human tracking systems

机译:移动多媒体网络中的集成位置管理及其在人类跟踪系统开发中的作用

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Advanced software protocols for multimedia packet networks are currently designed, tested and, in some cases, fielded by a variety of organisations. Additionally, a variety of solutions are required to provide next-generation, highly-programmable technology solutions to eventually provide reliable, efficient, and secure communications of multimedia traffic over rapidly-deployable mobile adhoc networks to pave the way for seamless extension of the Internet. In this context, it is recognised that user location identification is considered by the service providers as one of the most value-added services for the end-users. The focus of the research in these areas is to allow protocol software and the location technology solutions to be integrated in a flexible manner into the mobile multimedia networks through API (application programming interface) framework. Various location strategies needed to be analysed to derive candidate solutions for integrated location management. In this paper, the background preparation to derive a separate smart antenna API is defined to eventually incorporate it into the distributed network architecture. Preliminary results from the real-data smart antenna experiments are examined to find out the efficacy of the technique. The all-IP architecture for transporting medical information is identified and discussions on user identification to implement advanced human tracking systems is proposed. These systems primarily deal with the problems associated with locating patients suffering from Alzheimer's disease and using multimedia applications and the man-machine interfaces to develop new patient care services.
机译:当前,各种组织都在设计,测试多媒体包网络的高级软件协议,并在某些情况下将其应用到现场。另外,需要各种解决方案来提供下一代,高度可编程的技术解决方案,以最终在可快速部署的移动即席网络上提供可靠,高效和安全的多媒体流量通信,从而为Internet的无缝扩展铺平道路。在这种情况下,可以认识到,服务提供商将用户位置识别视为最终用户增值最高的服务之一。这些领域的研究重点是允许协议软件和定位技术解决方案通过API(应用程序编程接口)框架灵活地集成到移动多媒体网络中。需要分析各种位置策略以得出用于集成位置管理的候选解决方案。在本文中,定义了派生单独的智能天线API的后台准备,以最终将其合并到分布式网络体系结构中。检查了来自实际数据智能天线实验的初步结果,以发现该技术的有效性。识别了用于传输医疗信息的全IP体系结构,并提出了有关用户识别的讨论,以实现先进的人类跟踪系统。这些系统主要解决与定位患有阿尔茨海默氏病的患者以及使用多媒体应用程序和人机界面开发新的患者护理服务相关的问题。

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