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Vibrant Ambient Intelligence with Agents based Service Oriented Approach

机译:基于代理的面向服务方法的充满活力的环境智能

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Ambient Intelligence (Aml) refers to electronic environments that are sensitive and responsive to the presence of people. Ambient intelligence is closely related to the long term vision of an intelligent service system in which technologies are able to automate a platform embedding the required devices for powering context aware, personalized, adaptive and anticipatory services. Ambient intelligence is a vision on the future of consumer electronics, telecommunications and computing that was originally developed in the late 1990s for the time frame 2010-2020. This paper on Vibrant Ambient Intelligence with Agents based Service Oriented Approach focuses on the ambient intelligence environment of managing the traffic congestion control in Coimbatore city through VAISTC4 proposal without crippling the mobility of users using Mobile Internet Protocol Version 6(IPV6). It also discusses on the benefit of coupling service-oriented approach and multi-agent systems towards more appropriate interactions with users. With the advancement in Mobile Computing Technology the number and diversity of sensors being carried by people have increased that has made humans to behave like computers in their social context where privacy poses a greater issue. This paper also provides a solution on how the privacy context of an individual can be cherished using privacy mapping approach.
机译:环境智能(Aml)是指对人的存在敏感并能做出响应的电子环境。环境智能与智能服务系统的长期愿景紧密相关,在智能服务系统中,技术能够使嵌入所需设备的平台自动化,从而为上下文感知,个性化,自适应和预期服务提供动力。环境智能是对消费电子,电信和计算的未来的一种愿景,最初是在1990年代后期针对2010-2020年的时间框架开发的。本文基于基于代理的面向服务方法的充满活力的环境智能,着重于通过VAISTC4提案在哥印拜陀市管理交通拥堵控制的环境智能环境,而不会使用移动互联网协议版本6(IPV6)削弱用户的移动性。它还讨论了将面向服务的方法和多代理系统耦合到与用户进行更适当交互的好处。随着移动计算技术的发展,人们携带的传感器的数量和种类都在增加,这使得人们在社交环境中表现得像计算机一样,而隐私是一个更大的问题。本文还提供了有关如何使用隐私映射方法珍惜个人隐私上下文的解决方案。

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