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"Estimating the number of occupants and activity intensity in large spa" by Xiaohao Zhang, Tongyu Zhou et al.

Recently, occupant-centered control models have been widely discussed, with intelligent control models looking for more refined and dynamic regulation based on occupant information. This article introduced a novel method for using environmental sensors and machine learning algorithms to identify the number of occupants and activity intensity in large spaces. A multi-functional space was monitored for approximately two months using PIR, CO2, sound decibel, temperature and humidity sensors. To address the challenge of identifying the number of occupants in large spaces, the study proposed a non-uniformly distributed interval of occupant numbers that offsets the small fluctuations in the number of people. The study also demonstrated that PIR and CO2 level measurements could be used to estimate the headcount interval with an accuracy rate of 84.5%. Furthermore, the study employed K-means clustering to identify low-, medium-, and high-level activities in the studied space, achieving an over ....

Activity Intensity , Large Space , Umber Interval , Occupant Behavior , Ccupant Information ,

Leah Mo – The Conversation

Leah Mo’s profile on The Conversation ....

Soult Ukpyolsi , South Korea , University Of North Florida , Iowa State University , Department Of Civil , Built Environments , Occupant Behavior , Process Automation , Construction Safety , Digital Twin Based Building Management Systems , Emerging Technologies , Machine Learning , Natural Language Processing , Building Information Modeling , Virtual Reality , Augmented Reality , Building Design ,

Leah Mo | MENAFN.COM

Leah Mo | MENAFN.COM
menafn.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from menafn.com Daily Mail and Mail on Sunday newspapers.

Soult Ukpyolsi , South Korea , University Of North Florida , Department Of Civil , Iowa State University , Assistant Professor , Environmental Engineering , Built Environments , Occupant Behavior , Process Automation , Construction Safety , Digital Twin Based Building Management Systems , Emerging Technologies , Machine Learning , Natural Language Processing , Building Information Modeling , Virtual Reality , Augmented Reality , Building Design , Iowa State ,

Frontiers | School Building Energy Assessment Using Lean Energy Management Strategies

In Malaysia, there are approximately 10,2200 government schools and these schools’ electricity bills are under the responsibility of the Ministry of Education Malaysian Government. The demand for energy use is expected to rise dramatically in the coming years due to many factors such as the increasing number of students enrolment and the demand for a comfortable indoor environment in response to global climate effects. Therefore, there are many ideas, concepts, and technologies that have been introduced towards energy conservation in buildings. This study aims to identify key implementation of energy conservation measures and audit energy consumption of five (5) secondary schools. Case studies derived from schools that participated in Energy Efficiency Challenge hosted by Energy Commission. It was found that the school’s usage of electricity exceeded their need. Based on the implementation of energy management conservation measures throughout 2016 to 2019, there were gradual reduct ....

United States , Al Iskandariyah , United Kingdom , Sistan Va Baluchestan , Peninsular Malaysia , Malaysia General , Negeri Sembilan , Genting Highlands , Saudi Arabia General , Saudi Arabia , South Africa , Ministry Of Education , Al Qahirah , Ar Riya , South African , Johnr Kilbourne , Laurar Kapitula , Universiti Utara , Barzan Neto , Ahmad Zawawi , Lennie Scott Webber , Abu Bakar , Al Waheed Hawila , Energy Management Key Practices , Renewable Energy For Non , Effect Of Occupant Behaviors On Energy ,