面向物联网环境的迁移学习框架

Amin Andjomshoaa, E. Curry
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引用次数: 1

摘要

创建智能建筑服务的主要使能技术是物联网和认知计算。虽然在建设和改造过程中部署物联网基础设施是相当简单的做法,但从物联网基础设施生成的数据中受益的认知组件的实施是一项复杂的任务,应该根据目标服务和智能建筑的具体属性进行详细阐述。本研究探讨了智能环境之间的沟通和重用认知知识的潜力,以实现服务和机器学习模型的无缝和自动转移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Transfer Learning Framework for IoT-enabled Environments
The major enabling technologies for creating smart building services are IoT and cognitive computing. While deploying IoT infrastructure during the construction and renovation processes is rather a straightforward practice, the implementation of cognitive components that benefit from generated data of IoT infrastructure is a complicated task that should be elaborated based on the specific attributes of target services and smart buildings. This research investigates the potential of communication and reuse of cognitive knowledge between smart environments for a seamless and automatic transfer of services and machine learning models.
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