Sensing Street-level Crowd Density by Observing Public Bluetooth Low Energy Advertisements from Contact Tracing Applications

M Bessho, K Sakamura - 2021 IEEE International Smart Cities …, 2021 - ieeexplore.ieee.org
Smart cities in current and future pandemics are expected to implement features that ensure
social distancing in order to prevent the spread of infection. Technologies for sensing street …

Design of a cost-effective multimodal IoT edge device for building occupancy estimation

F Pereira, SI Lopes, NB Carvalho - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Depending on the architectural typology and function of a specific building or compartment,
Building Occupancy Estimation (BOE) is a critical factor for effective green building …

Occupants behavior-based design study using BIM-GIS integration: An alternative design approach for architects

M Afkhamiaghda, A Mahdaviparsa, K Afsari… - Advances in Informatics …, 2019 - Springer
Occupant behavior is considered as one of the important factors that can influence the
energy consumption of a building, therefore knowing occupant behavior as supporting data …

A novel approach for deploying minimum sensors in smart buildings

A Agarwal, K Ramamritham - ACM Transactions on Cyber-Physical …, 2021 - dl.acm.org
Buildings, viewed as cyber-physical systems, become smart by deploying Building
Management Systems (BMS). They should be aware about the state and environment of the …

Development and implementation of occupancy-based predictive controls for modulation of air handling units' outdoor air dampers

BW Hobson - 2020 - repository.library.carleton.ca
Occupancy in the field of HVAC design is crudely estimated early in the design phase and
often does not reflect the actual building. This results in chronic overventilation, which …

Design and Implementation of Street-level Crowd Density Forecast using Contact Tracing Applications

M Bessho, K Sakamura - 2022 IEEE International Smart Cities …, 2022 - ieeexplore.ieee.org
Social distancing plays an important role in the control of the spread of infectious diseases.
This study proposes a service that forecasts street-level crowd density in the near future. We …

[引用][C] Building occupancy analytics based on deep learning through the use of environmental sensor data

Z Zhang - 2023 - Virginia Tech

Store Congestion Forecast under the Pandemic using Point of Sales Statistics

M Bessho, K Sakamura - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
Under the COVID-19 pandemic, it is necessary to balance social distancing and continuous
economic activities. In this study, we report on our developed service that forecasts the …

Self-error detecting and correcting algorithm for accurate occupancy tracking using a wireless sensor network

C Lee, D Lee - 2019 4th International Conference on Smart …, 2019 - ieeexplore.ieee.org
For a variety of smart building applications, the accurate occupancy counting is regarded as
one of the most important factors. This is because it becomes the basic information of smart …

[HTML][HTML] Estimating indoor crowd density and movement behavior using WiFi sensing

SS Alam, M Al-Qurishi, R Souissi - Frontiers in The Internet of Things, 2022 - frontiersin.org
The fact that almost every person owns a smartphone device that can be precisely located is
both empowering and worrying. If methods for accurate tracking of devices (and their …