Studies in Small Scale Data: Three Case Studies on Describing Individuals’ Spatial Behaviour in Cities
Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2017, Vol 3, Issue 10
Abstract
Big Data has been effectively mined to understand behavioural patterns in cities and to map large-scale trends predicated upon the repeated actions of many aggregated individuals. While acknowledging the vital role that this work has played in harnessing the Urban Internet of Things as a means to ensure efficient and sustainable urban systems, our work seeks to recover a scale of behavioural research associated with earlier, empirical studies on urban networks. UrbanIOT data expands the depth and precision of intimate behavioural analysis; small-scale analysis lends insight into important anomalies not explained by large-scale trends. The three case studies at stake here combined empirical journaling with data from mobile devices, tracking both automatically and through user reporting. Each produced diverse information and visualizations for describing the interaction of individual citizens, resources and urban systems. These are: a description of behaviours relative to food stores and shopping habits in New York City, US; a description of the correlation between mobility and food waste likelihood in Providence, RI, US; and a study of mobility patterns and personal choices in Copenhagen, DK.
Authors and Affiliations
Lynnette Widder, Jessie Braden, Joy Ko, Kyle Steinfeld
An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems
In this paper, a transmitting power allocation strategy for users jointed together pre-coding is presented to eliminate inter-users interference and improve the energy efficiency of Massive MIMO systems. The power alloca...
Securing the Timestamping of Sensor Data from Wearable Healthcare Devices
An ageing population, coupled with increasing prevalence of chronic diseases, is placing unsustainable demands on current healthcare systems. Home-based medical monitoring, supported by wearable sensors for heart-rate, E...
Towards Smart and Sustainable Future Cities Based on Internet of Things for Developing Countries: What Approach for Africa?
This article aims first at reviewing and discussing previous works on Internet of Things based sustainable smart cities. Secondly, it proposes an ideological and technical framework that better suits communities in futur...
A Practical Group Authentication Scheme for Smart Devices in IoT
Internet of things (IoT) is used to provide real-time data collection and analysis of the target area by the cooperation of low-cost devices. The authentication towards multiple devices has become the research hot-spot c...
Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain
The emergence of inexpensive off-the-shelf wireless EEG devices led researchers to explore novel paradigms in the field of Human Computer Interaction. In fact, the compliance of these devices with the IoT principles towa...