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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Action Patterns Probing for Dynamic Service Composition in Home Network
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Action Patterns Probing for Dynamic Service Composition in Home Network

机译:家庭网络中动态服务组合的行为模式探索

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摘要

The concept of a smart home has been discussed in recent years. The major purpose is to make life more convenient, safe, and fun in various areas, including home automation, security, entertainment, and so on. In order to automate the interactions between the home users and devices or even between devices, the prediction of the home user's actions and the integration of devices are very important. The UPnP Device Architecture defines the protocols for communication between the UPnP control point and devices. Exploiting UPnP techniques, home users can easily control intelligent devices through the control point. However, UPnP devices lack a composition mechanism to complete a novel application or value-added service. In this paper, an action patterns probing algorithm is proposed. We propose a dynamic service composition system which coordinates the primitive UPnP services at home. We can predict the action and the data flow with satisfactory accuracy. At first, we define data type ontology for UPnP devices to describe their service interfaces. Afterwards, the interface matching mechanism is employed to construct a service graph that describes which services can be composed together. And we have to analyze the record of user's actions by using the service graph. Finally, we can find the devices which can be composed and worked together in common use. These devices can be composed dynamically by user's habits and can be automated by our mechanism.
机译:近年来已经讨论了智能家居的概念。其主要目的是使各个领域的生活更加方便,安全和有趣,包括家庭自动化,安全性,娱乐性等。为了使家庭用户和设备之间甚至设备之间的交互自动化,对家庭用户的行为进行预测以及设备的集成非常重要。 UPnP设备体系结构定义了UPnP控制点和设备之间通信的协议。利用UPnP技术,家庭用户可以通过控制点轻松控制智能设备。但是,UPnP设备缺乏完成新型应用程序或增值服务的组合机制。本文提出了一种动作模式探测算法。我们提出了一种动态服务组合系统,该系统可以在家里协调原始的UPnP服务。我们可以以令人满意的精度预测动作和数据流。首先,我们为UPnP设备定义数据类型本体,以描述其服务接口。然后,使用接口匹配机制来构建服务图,该服务图描述可以将哪些服务组合在一起。而且,我们必须使用服务图来分析用户操作的记录。最后,我们可以找到可以共同使用并组合在一起的设备。这些设备可以根据用户的习惯动态组成,并且可以通过我们的机制自动实现。

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