loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Marie Baerentzen 1 ; Jalil Boudjadar 1 ; Saif Islam 2 and Carl Schultz 1

Affiliations: 1 Aarhus University, Denmark ; 2 Institute of Space Technology, Pakistan

Keyword(s): Domain-Specific Language, Occupancy Analysis, Energy Efficiency, Optimization.

Abstract: Occupancy monitoring for buildings is a key component to enable cost-effective allocation of spaces and efficient resources utilization. The occupancy monitoring systems rely on networks of sensors and cameras to achieve high accuracy, however the main challenges are the privacy concerns and the computation cost. This paper proposes the design of an intelligent energy-efficient and privacy-aware system to track, monitor and analyze buildings occupancy. The core idea is that rather than collecting large amounts of sensor data to perform occupancy analysis post hoc, our proposal adopts a top-down approach where, using the knowledge about the activity expected to be taking place it proactively identifies the minimal data relevant to the actual state following the semantics of the expected activity. Thus, it switches on/off the sensors in accordance with such a subsequent dynamics and reduces the data amount to collect and the computation cost. The proposed system has been built using a domain-specific language, implemented in C++ and tested for a building case study. Our experimental results show that, while achieving a considerable reduction in computation cost (up to 35%) and energy consumption (up to 31%), our system maintains high accuracy for occupancy tracking compared to the state of the art solutions. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.21.248.105

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Baerentzen, M.; Boudjadar, J.; Islam, S. and Schultz, C. (2023). A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring. In Proceedings of the 18th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-665-1; ISSN 2184-2833, SciTePress, pages 680-687. DOI: 10.5220/0012144000003538

@conference{icsoft23,
author={Marie Baerentzen. and Jalil Boudjadar. and Saif Islam. and Carl Schultz.},
title={A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring},
booktitle={Proceedings of the 18th International Conference on Software Technologies - ICSOFT},
year={2023},
pages={680-687},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012144000003538},
isbn={978-989-758-665-1},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - ICSOFT
TI - A Knowledge-Based Proactive Intelligent System for Buildings Occupancy Monitoring
SN - 978-989-758-665-1
IS - 2184-2833
AU - Baerentzen, M.
AU - Boudjadar, J.
AU - Islam, S.
AU - Schultz, C.
PY - 2023
SP - 680
EP - 687
DO - 10.5220/0012144000003538
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic