Machine learning methods in smart lighting toward achieving user comfort: a survey

AG Putrada, M Abdurohman, D Perdana… - IEEE Access, 2022 - ieeexplore.ieee.org
Smart lighting has become a universal smart product solution, with global revenues of up to
US 5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) …

Intelligent Personalized Lighting Control System for Residents

J Zhang, Z Chen, A Wang, Z Li, W Wan - Sustainability, 2023 - mdpi.com
The demand for personalized lighting environments based on households is steadily
increasing among users. This article proposes a novel intelligent control system for …

A Critical Review of Lighting Design and Asset Management Strategies. Illuminating Practices and Lessons Learned for Swedish Public Libraries

J Shen, X Zhang, N Mylly, J Lin - Journal of Physics: Conference …, 2023 - iopscience.iop.org
Most lighting is only designed to meet the visual needs in most public library environments
in Sweden. Although lighting-related impacts are relevant to six Unite Nations sustainability …

[PDF][PDF] Human centric lighting luminaires: practical design

M Sobol, O Hebda, Ł Rybski - Technical Transactions, e2024002, 2024 - sciendo.com
Discoveries in medicine concerning the influence of light on human physiology provoked the
creation of the Human Centric Lighting (HCL) approach. Research dedicated to this mainly …

A Human Movement Stream Processing System for Estimating Worker Locations in Shipyards

DVA Duong, S Yoon - International Journal of Internet …, 2021 - koreascience.kr
Estimating the locations of workers in a shipyard is beneficial for a variety of applications
such as selecting potential forwarders for transferring data in IoT services and quickly …

A human mobility model in shipyards

DVA Duong, S Yoon - International Journal of Internet, Broadcasting and …, 2020 - earticle.net
Shipyards are potential environments for using IoT services, sensor networks, and delay
tolerant networks. Simulations of those services and networks strongly rely on human …

Using multi-sensor for Development of Multiple Occupants' Activities Classification Model Based on LSTM

JS Park, CS Yang, KH Kim - The Journal of the Convergence on …, 2023 - koreascience.kr
In this paper discuss with research developing an LSTM model for classifying the behavior
of occupants within a residence. The multi-sensor consists of an IAQ (Indoor Air Quality) …

Smart Materials and Devices for Human-Centric Lighting

RK Gupta, TA Nguyen - Nanotechnology for Light Pollution …, 2022 - taylorfrancis.com
Light pollution is another very important area of research as it provides useful information
regarding the source of light pollution, its effect on living beings, and possible solution …

사용환경정보를사용한조명사용자의선호디밍단계예측방법에관한연구

정재원, 박상수, 방석오, 유성식, 최현석… - 조명· 전기설비학회 …, 2024 - dbpia.co.kr
Few studies have looked at the prediction method for preferred dimming level of lighting
user using usage environment data (usage time, weather, etc.) and machine learning …