Impact of COVID-19 on IoT adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT
COVID-19 has disrupted normal life and has enforced a substantial change in the policies,
priorities and activities of individuals, organisations and governments. These changes are …
priorities and activities of individuals, organisations and governments. These changes are …
Contact tracing over uncertain indoor positioning data
Pandemics often cause dramatic losses of human lives and impact our societies in many
aspects such as public health, tourism, and economy. To contain the spread of an epidemic …
aspects such as public health, tourism, and economy. To contain the spread of an epidemic …
Continuous social distance monitoring in indoor space
The COVID-19 pandemic has caused over 6 million deaths since 2020. To contain the
spread of the virus, social distancing is one of the most simple yet effective approaches …
spread of the virus, social distancing is one of the most simple yet effective approaches …
Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty
Intelligent buildings are among the most active Internet-of-Things (IoT) verticals,
encompassing various IoT-enabled devices and sensing technologies for digital …
encompassing various IoT-enabled devices and sensing technologies for digital …
Maximizing Influence Query Over Indoor Trajectories
J Chen, H Gao, Y Shi, J Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Maximizing Influence (Max-Inf) query is a fundamental operation in spatial data
management. This query returns an optimal site from a candidate set to maximize its …
management. This query returns an optimal site from a candidate set to maximize its …
Modeling and Monitoring of Indoor Populations using Sparse Positioning Data
In large venues like shop** malls and airports, knowledge on the indoor populations fuels
applications such as business analytics, venue management, and safety control. In this …
applications such as business analytics, venue management, and safety control. In this …
Enhancing human-robot cohesion through hat methods: A crowd-avoidance model for safety aware navigation
In the world of autonomous robots, achieving complete accuracy remains a challenge,
underscoring the importance of human intervention, especially regarding safety. In Human …
underscoring the importance of human intervention, especially regarding safety. In Human …
Continuous frequent contact detection over moving objects
J Zhang, J Yu, S Shang, L Chen, S Feng - GeoInformatica, 2024 - Springer
With the outbreak of COVID-19 pandemic, contact tracing and social distance monitoring
have been increasingly popular due to their capability of avoiding the spread of infectious …
have been increasingly popular due to their capability of avoiding the spread of infectious …
Kairos: Efficient Temporal Graph Analytics on a Single Machine
Many important societal problems are naturally modeled as algorithms over temporal
graphs. To date, however, most graph processing systems remain inefficient as they rely on …
graphs. To date, however, most graph processing systems remain inefficient as they rely on …
ASTRO-K: Finding Top-k Sufficiently Distinct Indoor-Outdoor Paths
CAPRIO is an indoor-outdoor pedestrian path rec-ommendation system that optimizes for
shortest distance. Its path-finding algorithm, ASTRO, takes into account a set of user …
shortest distance. Its path-finding algorithm, ASTRO, takes into account a set of user …