Impact of COVID-19 on IoT adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT

M Umair, MA Cheema, O Cheema, H Li, H Lu - Sensors, 2021 - mdpi.com
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 …

Contact tracing over uncertain indoor positioning data

T Liu, H Li, H Lu, MA Cheema… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Continuous social distance monitoring in indoor space

HKH Chan, H Li, X Li, H Lu - Proceedings of the VLDB Endowment, 2022 - dl.acm.org
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 …

Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty

H Li, T Liu, HKH Chan, H Lu - Frontiers in Big Data, 2022 - frontiersin.org
Intelligent buildings are among the most active Internet-of-Things (IoT) verticals,
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 …

Modeling and Monitoring of Indoor Populations using Sparse Positioning Data

X Li, H Li, H Lu, CS Jensen - IEEE Transactions on Knowledge …, 2024 - ieeexplore.ieee.org
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 …

Enhancing human-robot cohesion through hat methods: A crowd-avoidance model for safety aware navigation

T Sellers, T Lei, C Luo, L Liu… - 2024 IEEE 4th …, 2024 - ieeexplore.ieee.org
In the world of autonomous robots, achieving complete accuracy remains a challenge,
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 …

Kairos: Efficient Temporal Graph Analytics on a Single Machine

JMF da Trindade, J Shun, S Madden… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

ASTRO-K: Finding Top-k Sufficiently Distinct Indoor-Outdoor Paths

VE Sarris, C Costa… - 2022 23rd IEEE …, 2022 - ieeexplore.ieee.org
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 …