低功耗蓝牙的移动性管理

A. Jara, Yann Bocchi, D. Genoud
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引用次数: 1

摘要

人工智能在理解人类行为的基础上构建解决方案的潜力,以及通过人类与世界的互动发现模式的能力,正在随着物联网的能力而得到扩展。被描述的潜能,即所谓的人类动力学,旨在实时描述人类的行为和活动。这些目标开始是可行的通过提供的数据的数量的两个主要领域的物联网,一方面,智能城市做出更聪明的环境,并提供一种智能空间运动,行动,和生态系统的演变,另一方面,可穿戴和移动计算可以提供人类本身的数据,例如,从他们的口袋(智能手机),手腕(智能手表),心脏(可穿戴传感器)和眼睛(眼镜)。这项工作分析了由大数据、智慧城市和可穿戴计算形成的三角形所定义的生态系统,以确定人类的动态。为此,分析了智慧城市中人类动态决定的生命周期,以确定技术的现状、挑战和机遇。
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Mobility management in bluetooth low energy
The potential of the artificial intelligence to build solutions based on the understanding of human behaviours, and the capacity to discover patterns through their interactions with the world is being extended with the capabilities of the Internet of Things. The described potential, so-called Human Dynamics, pursues to describe in real-time the human behaviours and activities. These goals are starting to be feasible through the quantity of data provided by two of the main areas of the Internet of Things, on the one hand, the Smart cities to make more intelligent the environment and offer a smart space that sense our movements, actions, and the evolution of the ecosystem, and on the other hand, the wearable and mobile computing which allows to provide data from the humans itself, i.e., from their pockets (smart phones), wrists (smart watches), hearts (wearable sensors), and eyes (glasses). This work analyses the ecosystem defined through the triangle formed by Big Data, Smart Cities and Wearable Computing to determinate human dynamics. For this purpose, the life-cycle of human dynamics determinations in Smart Cities have been analysed in order to determinate the current status of the technology, challenges, and opportunities.
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