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Mathematical Modeling of Smart Space for Context-Aware System: Linear Algebraic Representation of State-Space Method Based Approach

机译:情境感知系统的智能空间数学建模:基于状态空间方法的线性代数表示

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摘要

A smart space is embedded with several components such as sensors, actuators, and computing devices that enable the sensing and control of the environment, and the inhabitants interact with the devices in the smart space whenever they need to. To model a smart space, a dynamic relationship needs to be established among the elements of the space whereby the interactions with devices are considered a dynamic-process state. In this paper, a linear model of a smart space is presented using a state equation, where the two coefficient matrices L and H need to be defined to model the smart space, and the coefficient matrix L is used to determine the Wstates of the devices; similarly, the situation of the smart space is determined using coefficient H. An algorithmis presented tomake a linear model from the logical functions that are used to describe the system. This model is flexible in terms of the control of the smart-space environment because the environmental factors are represented by a matrix element. This linear smart-space model is helpful for the control of a context-aware system, and we use an example to illustrate the effectiveness of the proposed model.
机译:智能空间中嵌入了多个组件,例如传感器,促动器和计算设备,这些组件可实现对环境的感应和控制,居民可以在需要时与智能空间中的设备进行交互。为了对智能空间进行建模,需要在空间的各个元素之间建立动态关系,从而将与设备的交互视为动态过程状态。本文利用状态方程提出了智能空间的线性模型,其中需要定义两个系数矩阵L和H来对智能空间进行建模,并且系数矩阵L用于确定设备的W状态。 ;类似地,使用系数H确定智能空间的情况。提出了一种算法,用于根据用于描述系统的逻辑函数来构建线性模型。该模型在控制智能空间环境方面非常灵活,因为环境因素由矩阵元素表示。该线性智能空间模型有助于控制上下文感知的系统,并且我们使用一个示例来说明所提出模型的有效性。

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