论文标题
物联网的认知放大器
Cognitive Amplifier for Internet of Things
论文作者
论文摘要
我们提出一个认知放大器框架，以增强物联网的部分内容，并具有认知能力，以改善生活的便利性。具体而言，认知放大器由知识发现和预测组成部分组成。知识发现部分着重于寻找自然活动模式，考虑其规律性，变化和在现实生活中的过渡。预测组件将发现的知识作为推断下一个活动发生的事情，何时和何处的基础。现实数据的实验结果验证了所提出方法的可行性和适用性。
We present a Cognitive Amplifier framework to augment things part of an IoT, with cognitive capabilities for the purpose of improving life convenience. Specifically, the Cognitive Amplifier consists of knowledge discovery and prediction components. The knowledge discovery component focuses on finding natural activity patterns considering their regularity, variations, and transitions in real life setting. The prediction component takes the discovered knowledge as the base for inferring what, when, and where the next activity will happen. Experimental results on real-life data validate the feasibility and applicability of the proposed approach.
