Transmission Probability of SARS-CoV-2 in Office Environment Using Artificial Neural Network DOI Creative Commons
Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar

и другие.

IEEE Access, Год журнала: 2022, Номер 10, С. 121204 - 121229

Опубликована: Янв. 1, 2022

In this paper, curve-fitting and an artificial neural network (ANN) model were developed to predict R-Event. Expected number of new infections that arise in any event occurring over a total time space is termed as Real-time data for the office environment was gathered spring 2022 naturally ventilated room Roorkee, India, under composite climatic conditions. To ascertain merit proposed ANN models, performances approach compared against curve fitting regarding conventional statistical indicators, i.e., correlation coefficient, root mean square error, absolute Nash-Sutcliffe efficiency index, percentage a20-index. Eleven input parameters namely indoor temperature ( TIn ), relative humidity xmlns:xlink="http://www.w3.org/1999/xlink">RHIn area opening xmlns:xlink="http://www.w3.org/1999/xlink">AO occupants xmlns:xlink="http://www.w3.org/1999/xlink">O per person xmlns:xlink="http://www.w3.org/1999/xlink">AP volume xmlns:xlink="http://www.w3.org/1999/xlink">VP xmlns:xlink="http://www.w3.org/1999/xlink">CO 2 concentration air quality index xmlns:xlink="http://www.w3.org/1999/xlink">AQI outer wind speed xmlns:xlink="http://www.w3.org/1999/xlink">WS outdoor xmlns:xlink="http://www.w3.org/1999/xlink">TOut xmlns:xlink="http://www.w3.org/1999/xlink">RHOut ) used study R-Event value output. The primary goal research establish link between value; eventually providing prediction purposes. case study, coefficient 0.9992 0.9557, respectively. It shows model's higher accuracy than prediction. Results indicate performance (R=0.9992, RMSE=0.0018708, MAE=0.0006675, MAPE=0.8643816, NS=0.9984365, a20-index=0.9984300) reliable highly accurate R-event offices.

Язык: Английский

Optimal control of high-rise building mechanical ventilation system for achieving low risk of COVID-19 transmission and ventilative cooling DOI Open Access

Haohan Sha,

Xin Zhang, Dahai Qi

и другие.

Sustainable Cities and Society, Год журнала: 2021, Номер 74, С. 103256 - 103256

Опубликована: Авг. 13, 2021

Язык: Английский

Процитировано

59

Digital twin-enabled built environment sensing and monitoring through semantic enrichment of BIM with SensorML DOI
Tao Wang, Vincent J.L. Gan,

Difeng Hu

и другие.

Automation in Construction, Год журнала: 2022, Номер 144, С. 104625 - 104625

Опубликована: Окт. 19, 2022

Язык: Английский

Процитировано

58

Adequacy of telework spaces in homes during the lockdown in Madrid, according to socioeconomic factors and home features DOI Creative Commons
Teresa Cuerdo-Vilches, Miguel Ángel Navas-Martín, Sebastià March

и другие.

Sustainable Cities and Society, Год журнала: 2021, Номер 75, С. 103262 - 103262

Опубликована: Авг. 13, 2021

In Spain, the COVID-19 confinement was carried out in spring of 2020. All non-essential activities were temporarily suspended. This brought with it adaptation to home office (telework), still emerging Europe, and more Spain. Although response general has been positive, conditions which families have subjected telework cannot be considered normal. this context, an online survey requested find experience confined households relation dwelling satisfaction following new needs lockdown. The data obtained on workspace perception its adequacy studied Madrid, stratified by gender average income, for a sample 256 people teleworking or studying. results showed that spaces insufficient third households, no significant relationship most socioeconomic variables, nor characteristics. variables related inadequacy were: number who work study at home; lack exclusive teleworking; availability digital resources. also depended qualities space, as size, furniture lighting, among others.

Язык: Английский

Процитировано

56

TD-GC/MS analysis of indoor air pollutants (VOCs, PM) in hair salons DOI

Chrystalla Kaikiti,

Marinos Stylianou, Agapios Agapiou

и другие.

Chemosphere, Год журнала: 2022, Номер 294, С. 133691 - 133691

Опубликована: Янв. 19, 2022

Язык: Английский

Процитировано

56

Machine Learning-Based CO2 Prediction for Office Room: A Pilot Study DOI Creative Commons
Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar

и другие.

Wireless Communications and Mobile Computing, Год журнала: 2022, Номер 2022, С. 1 - 16

Опубликована: Март 7, 2022

Air pollution is increasing profusely in Indian cities as well throughout the world, and it poses a major threat to climate health of all living things. reason behind degraded indoor air quality (IAQ) urban buildings. Carbon dioxide (CO2) main contributor humans themselves are one generating sources this pollutant. The testing monitoring CO2 consume cost time require smart sensors. Thus, solve these limitations, machine learning (ML) has been used predict concentration inside an office room. This study based on data collected through real-time measurements CO2, number occupants, area per person, outdoor temperature, outer wind speed, relative humidity, index input parameters. In study, ten algorithms, namely, artificial neural network (ANN), support vector (SVM), decision tree (DT), Gaussian process regression (GPR), linear (LR), ensemble (EL), optimized GPR, EL, DT, SVM, were CO2. It found that GPR model performs better than other selected models terms prediction accuracy. result indicated can with highest accuracy having R , RMSE, MAE, NS, a20-index values 0.98874, 4.20068 ppm, 3.35098 0.9817, 1, respectively. be utilized by designers, researchers, healthcare professionals, city developers analyse for designing ventilation systems level

Язык: Английский

Процитировано

50

Ultraviolet C irradiation: A promising approach for the disinfection of public spaces? DOI Creative Commons
Ana Rita Pereira, Daniel F.O. Braga, Mariana Vassal

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 879, С. 163007 - 163007

Опубликована: Март 23, 2023

Ultraviolet irradiation C (UVC) has emerged as an effective strategy for microbial control in indoor public spaces. UVC is commonly applied air, surface, and water disinfection. Unlike common 254 nm UVC, far-UVC at 222 considered non-harmful to human health, being safe occupied spaces, still disinfection purposes. Therefore, allied the urgency mitigate current pandemic of SARS-CoV-2, increase UVC-based technology devices appeared market with levels pathogens reduction higher than 99.9 %. This environmentally friendly potential overcome many limitations traditional chemical-based approaches. The novel were thought be used spaces such hospitals, schools, transport minimize risk contamination propagation, saving costs by reducing manual cleaning equipment maintenance provided manpower. However, a lack information about parameters protocols disinfection, controversies regarding health environmental risks exist. In this review, fundamentals on are presented. Furthermore, deep analysis technologies available addressed, well their advantages limitations. comprehensive provides valuable inputs strategies development effective, reliable, systems.

Язык: Английский

Процитировано

36

A digital twin architecture for real-time and offline high granularity analysis in smart buildings DOI
Lenos Hadjidemetriou,

Nearchos Stylianidis,

Demetris Englezos

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 98, С. 104795 - 104795

Опубликована: Июль 21, 2023

Язык: Английский

Процитировано

29

The impact of digital economy on rural revitalization: Evidence from Guangdong, China DOI Creative Commons

Xueqin Deng,

Mingshan Huang, Rong Peng

и другие.

Heliyon, Год журнала: 2024, Номер 10(7), С. e28216 - e28216

Опубликована: Март 28, 2024

Digital technology and economy have profound impact on rural revitalization become important initiatives to promote development. This study analyzes the spatial effect of digital in Guangdong, China.

Язык: Английский

Процитировано

12

Air quality and ventilation: exploring solutions for healthy and sustainable urban environments in times of climate change DOI Creative Commons
Iasmin Lourenço Niza, Ana Maria Bueno, Manuel Gameiro da Silva

и другие.

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103157 - 103157

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

8

Positive global environmental impacts of the COVID-19 pandemic lockdown: a review DOI Creative Commons
Hong Chuan Loh, Irene Looi, Alan Swee Hock Ch’ng

и другие.

GeoJournal, Год журнала: 2021, Номер 87(5), С. 4425 - 4437

Опубликована: Июль 23, 2021

Язык: Английский

Процитировано

47