The Internet of Things (IoT) is now shaping our cities to make them more connected, convenient, and intelligent. However, this change will highly rely on extracted values and insights from the big data generated by our cities via sensors, devices, and human activities. Many existing studies and projects have been done to make our cities smart, focusing more on how to deploy various sensors and devices and then collect data from them. However, this is just the first step towards smart cities and next step will be to make good use of the collected data and enable context-awareness and intelligence into all kinds of applications and services via a flexible big data platform. In this paper, we introduce the system architecture and the major design issues of a live City Data and Analytics Platform, namely CiDAP. More importantly, we share our experience and lessons learned from building this practical system for a large scale running smart city testbed, SmartSantander. Our work provides a valuable example to future Smart City platform designers so that they can foresee some practice issues and refer to our solution when building their own smart city data platforms.

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Brick and Mortar stores have been facing unrelenting competition from online retailers. An enhanced shopping experience is often perceived as a decisive factor in regaining market share, aiming at novel multichannel online and offline sales strategies. Technologies aimed at this goal, promote interaction, personalization and reaction measurement based on Internet of Things and networked display technologies. There exist, however, a plethora of standards and application platforms which constitute a considerable barrier for integrators both in terms of time and man power. This paper proposes an integrated approach for cost-effective development of innovative in-shopexperience applications leveraging the Internet of Things, HTML5 and Pervasive Display Networks.

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