Results 41 to 50 of about 8,507 (227)

A Bayesian Deep Neural Network Approach to Seven-Point Thermal Sensation Perception

IEEE Access, 2022
To create and maintain comfortable indoor environments, predicting occupant thermal sensation is an important goal for architects, engineers, and facility managers.
Mustafa Cakir, Akhan Akbulut
doaj   +1 more source

Indoor thermal environments in Chinese residential buildings responding to the diversity of climates [PDF]

, 2018
China has a diversity of climates and a unique historic national heating policy which greatly affects indoor thermal environment and the occupants’ thermal response.
Costanzo, Vincenzo, Du, Chenqiu, Li, Baizhan, Yao, Runming, Yu, Wei   +4 more
core   +1 more source

Development Adaptive Predicted Mean Vote (aPMV) Model for Naturally Ventilated Buildings in Zunyi, China [PDF]

E3S Web of Conferences, 2019
Fanger’s predicted mean vote (PMV) model which is as a result of climate-chamber-based experiments is a good tool to evaluate indoor thermal comfort for air-conditioned buildings in global wide.
Liu Jing, Cai Ting
doaj   +1 more source

The Thermal Responses between Young Adults and Preschool Children in a Radiant Floor Heating Environment

Buildings, 2022
The thermal comfort of preschool children was assumed to be similar to that of young adults, which may cause inaccuracy. This study tested and analyzed the thermal response characteristics of young adults and preschool children (4–6 years old) and the ...
Dong Liu, Na Liu, Donglin Ren, Xiaozhou Wu, Jun Wang, Yabin Tian, Anjie Hu, Li Wan, Jialan Wen   +8 more
doaj   +1 more source

Numerical Investigation of Thermal Comfort in an Aircraft Passenger Cabin [PDF]

E3S Web of Conferences, 2019
This study presents the results of a pilot numerical study of the thermal comfort in the aircraft passenger cabin. The computations have been performed using the Computational Fluid Dynamics (CFD) technique. The overall thermal comfort at temperatures of
Sadrizadeh Sasan
doaj   +1 more source

Verification of the Fanger Model in Real Conditions [PDF]

MATEC Web of Conferences, 2020
This study presents the issue of thermal comfort based on the Fanger model. The research was conducted in 5 rooms in the autumn-winter period. The research consisted of measurement of thermal environment parameters, air temperature and flow rate ...
Krawczyk Natalia, Kapjor Andrej, Orman Łukasz J.   +2 more
doaj   +1 more source

Evaluating assumptions of scales for subjective assessment of thermal environments – Do laypersons perceive them the way, we researchers believe? [PDF]

, 2020
International ...
Al-Atrash, Farah, Al-Khatri, Hanan, Alprianti, Rea Risky, Alsaad, Hayder, Amin, Rucha, Ampatzi, Eleni, André, Maíra, Arsano, Alpha Yacob, Azar, Elie, Bannazadeh, Bahareh, Batagarawa, Amina, Becker, Susanne, Buonocore, Carolina, Cao, Bin, Choi, Joon-Ho, Chun, Chungyoon, Daanen, Hein, Damiati, Siti Aisyah, Daniel, Lyrian, De Vecchi, Renata, Dhaka, Shivraj, Domínguez-Amarillo, Samuel, Dudkiewicz, Edyta, Edappilly, Lakshmi Prabha, Fernández-Agüera, Jesica, Folkerts, Mireille, Frijns, Arjan, Gaona, Gabriel, Garg, Vishal, Gauthier, Stephanie, Harimi, Djamila, Hellwig, Runa T., Huebner, Gesche M, Jabbari, Shahla Ghaffari, Jin, Quan, Jowkar, Mina, Kim, Jungsoo, King, Nelson, Kingma, Boris, Koerniawan, M. Donny, Kolarik, Jakub, Kumar, Shailendra, Kwok, Alison, Lamberts, Roberto, Laska, Marta, Lee, M.C. Jeffrey, Lee, Yoonhee, Lindermayr, Vanessa, Mahaki, Mohammadbagher, Marcel-Okafor, Udochukwu, Marquardsen, Anna, Martellotta, Francesco, Marín-Restrepo, Laura, Mathur, Jyotirmay, Mino-Rodriguez, Isabel, Montazami, Azadeh, Mou, Di, Moujalled, Bassam, Nakajima, Mia, Ng, Edward, Okafor, Marcellinus, Olweny, Mark, Ouyang, Wanlu, Papst de Abreu, Ana Lígia, Pérez-Fargallo, Alexis, Rajapaksha, Indrika, Ramos, Greici, Rashid, Saif, Reinhart, Christoph F., Rivera, Ma. Isabel, Salmanzadeh, Mazyar, Schakib-Ekbatan, Karin, Schiavon, Stefano, Schweiker, Marcel, Shooshtarian, Salman, Shukuya, Masanori, Soebarto, Veronica, Suhendri, Suhendri, Tahsildoost, Mohammad, Tartarini, Federico, Teli, Despoina, Tewari, Priyam, Thapa, Samar, Trebilcock, Maureen, Trojan, Jörg, Tukur, Ruqayyatu B., Voelker, Conrad, Yam, Yeung, Yang, Liu, Zapata-Lancaster, Gabriela, Zhai, Yongchao, Zhu, Yingxin, Zomorodian, ZahraSadat   +92 more
core   +12 more sources

Personalized Human Thermal Sensation Prediction Based on Bayesian-Optimized Random Forest

Buildings
Establishing a predictive model for human thermal sensation serves as the fundamental theoretical basis for intelligent control of building HVAC systems based on thermal comfort.
Hao Yang, Maoyu Ran
doaj   +1 more source

Field investigation of the heat stress in outdoor of healthcare workers wearing personal protective equipment in South China

Frontiers in Public Health, 2023
Since the advent of coronavirus disease 2019 (COVID-19), healthcare workers (HCWs) wearing personal protective equipment (PPE) has become a common phenomenon.
Yongcheng Zhu, Yudong Mao, Yanling Li, Tianwei Tang, Huilin Jiang, Sicheng Qiao, Shaopeng Lin, Zhimin Zheng, Zhaosong Fang, Xiaohui Chen   +9 more
doaj   +1 more source

The Synergism of β‐Cyclodextrin and Fe3+ Enabled Anti‐Swelling Ion‐Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms

Advanced Science, EarlyView.
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong, Chuanliu Liu, Yiming Luo, Dongyu Si, Menghan Zhao, Fangyu Zhao, Yixue Zhang, Wei Zeng, Eman Ramadan Elsharkawy, Terence Xiaoteng Liu, Zeinhom M. El‐Bahy, Hua Hou, Zhanhu Guo, Huige Wei   +13 more
wiley   +1 more source