Human Sensing and Artificial Intelligence in Buildings

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 10 January 2025 | Viewed by 1585

Special Issue Editors


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Guest Editor
School of Construction Management Technology, Purdue University, West Lafayette, IN, USA
Interests: construction management; energy consumption prediction; sustainability, safety and health; social influence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND 58102, USA
Interests: human–building interactions; robotics and automation in construction; data analytics; data sensing; smart and connected communities; safety and health; emerging technology adoption
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil, Architectural, and Environmental Engineering, North Carolina A&T State University, McNair Hall #455, 1601 E. Market St., Greensboro, NC 27411, USA
Interests: construction cost estimation and scheduling; project delivery system; sustainable planning and development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The influx of human sensing technologies being used in buildings allows for the collection of real-time and reliable data from numerous occupants. Also, artificial intelligence makes it possible to automatically process and analyze huge amounts of human data. Consequently, such advanced technologies allow us to better understand occupants’ behaviors, perceptions, and physiological characteristics in buildings. This, in turn, strengthens the human-centric operation of building systems and energy conservation programs to improve energy efficiency in conjunction with occupants’ comfort levels. Therefore, this Special Issue aims to share up-to-date knowledge and case studies, focusing on the application of human sensors and artificial intelligence within building system control and energy conservation programs. We welcome research papers contributing to the following topics, including but not limited to:

  • Energy efficiency;
  • Indoor air quality;
  • Visual comfort;
  • Thermal comfort;
  • Acoustic comfort;
  • Mechanical and electrical systems;
  • Energy use feedback;
  • Prediction of building energy use;
  • Occupancy prediction;
  • Energy simulation.

Dr. Kwonsik Song
Dr. Youjin Jang
Dr. Hyosoo Moon
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human factors
  • computer vision
  • wearable biosensors
  • machine learning
  • artificial intelligence
  • sustainable buildings
  • building systems
  • behavioral intervention

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Published Papers (1 paper)

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Research

18 pages, 3187 KiB  
Article
Effects of Periodic Materials on Distance Attenuation in Wall–Slab Structures: An Experiment
by Jongwoo Cho, Kwonsik Song, Nahyun Kwon, Moonseo Park and Tae Wan Kim
Buildings 2024, 14(3), 694; https://doi.org/10.3390/buildings14030694 - 5 Mar 2024
Cited by 1 | Viewed by 1002
Abstract
This research examines the application of periodic materials in wall–slab structures to mitigate impact noise and vibration propagation, a prevalent issue in multifamily housing. Traditional methods, such as floating floors, have proven insufficient in addressing low-frequency impact noises and in facilitating the identification [...] Read more.
This research examines the application of periodic materials in wall–slab structures to mitigate impact noise and vibration propagation, a prevalent issue in multifamily housing. Traditional methods, such as floating floors, have proven insufficient in addressing low-frequency impact noises and in facilitating the identification of noise origins, leading to increased resident annoyance. Periodic materials, known for their effectiveness in controlling plane waves in civil engineering, were applied to the intermediate slab of a wall–slab experimental setup. The research involved assessing the attenuation of noise and vibration over distance before and after the application of periodic materials by measuring indoor sound pressure levels and the natural vibration amplitude of the structure’s members upon impact. The results showed that periodic materials not only facilitated distance attenuation but also significantly diminished noise and vibration throughout the structure, without the side effects of vibration amplification seen in prior civil engineering applications. This indicates a practical advancement in using these materials, offering a novel approach to sound insulation and enabling more precise impact source localization. Ultimately, this study contributes to improving urban living by suggesting a method to enhance acoustic comfort in multifamily housing, underlining the importance of further exploration in architectural applications of periodic materials. Full article
(This article belongs to the Special Issue Human Sensing and Artificial Intelligence in Buildings)
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