IoT analytics: Reaping value from IoT data

IoT Data Analytics Using Deep Learning

Xiaofeng Xie, Di Wu, Siping Liu, Renfa Li Abstract: Deep learning is a popular machine learning approach which has achieved a lot of progress in all traditional machine learning areas. Internet of thing (IoT) and Smart City deployments are generating large amounts of time-series sensor data in need of analysis. Applying deep learning to these domains has been an important topic of research. The...

Bringing IoT to Sports Analytics

This paper explores the possibility of bringing IoT to sports analytics, particularly to the game of Cricket. We develop solutions to track a ball’s 3D trajectory and spin with inexpensive sensors and radios embedded in the ball. Unique challenges arise rendering existing localization and motion tracking solutions inadequate. Our system, iBall, mitigates these problems by fusing disparate sourc...

How Manufacturers Can Unlock Business Value via IoT Analytics

From IoT Mashups to Model-based IoT

In this paper, we consider tools and methodologies for the development of application for the Internet of things. We compare tools for application mashup with approaches for model-based development. For this, we show an example and then identify several key differences. Based on these, we discuss how both approaches can benefit from each other. For instance, model-based approaches have more exp...

IoT in Airbus value chain

Nicolas Monturet is working for Airbus in IT Strategy, Enterprise Architecture and Innovation department. His job is about delivering technology watch, benchmarking, and architecture recommendations to contribute to Airbus Digital Transformation with a focus on IoT development. He is also supporting the development of airbus IoT center of competence as well as co-leading an Airbus IoT community...