IoT platform with Anomaly Detection and Integration of Heterogeneous Protocols
Autor: | Bo-Shen Chen, 陳柏伸 |
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Rok vydání: | 2016 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 104 Due to the advance of Internet of Things (IoT) and the capability of cloud computing and big data, people can enjoy the convenient and useful services and applications of IoT. These applications cover with the smart city, smart grid, smart infrastructure, smart home, etc. Taking the smart home for example, there are some products combined with hardware and software application on the market. These companies also provides house-to-install in order to make the life more wisely and automatically. However, most products that companies promoted are often closed environment systems. This means that the hardware needs specific ICs, the transmission needs specific protocols and the user applications couldn’t be customized. Besides there is the cost concerned. Fortunately, the open hardware and the concept of “Maker” is rising, and the developer can product customized hardware devices. For getting more values of the integration of hardware and software, data analysis technology is necessary. In this thesis, we design and implement a SaaS online platform and provide functions including data visualization, integrated protocols, anomaly detection, and social IoT. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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