Titlebook: Beyond the Internet of Things; Everything Interconn Jordi Mongay Batalla,George Mastorakis,Evangelos P Book 2017 Springer International Pub

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Recognizing Driving Behaviour Using Smartphonesdroid-based application we have developed to this end, which can monitor driving behavior. The latter can be achieved either using data only from the accelerometer sensor or using a sensor fusion method, which combines data from the accelerometer, the gyroscope and the magnetometer. We can recognize

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Cloud Platforms for IoE Healthcare Context Awareness and Knowledge Sharing while at the same time contain healthcare costs. Although the number of healthcare sensors are increasing as part of the Internet of everything growth, there is no robust system so as to act as a bridge between different sensors and systems to facilitate knowledge sharing and empower their detectio

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Crowd-Driven IoT/IoE Ecosystems: A Multidimensional Approachive innovation practices have emerged in which an increasing number of users mutually collaborate by openly communicating their ideas, sharing best practices, and creating new knowledge across sectors. These online, distributed, crowd-driven networks take advantage of underlying network effects in o

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https://doi.org/10.1007/b139092nformation into the established Internet protocol stack. In this chapter, we present this work in three phases: (i) the module’s architectural design; (ii) the module’s applications; (iii) a resource management framework designed for the module.

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https://doi.org/10.1007/b139092tem. The main goal of this in-home device is to give more accurate information to physicians and technical staff, assisting in the screening process, reducing costs and helping to improve the wellbeing of people with sleep disorders.

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