Accessed 2017Ĭheng W, Zhu X, Chen X, Li M, Lu J, Li P (2019) Manhattan distance-based adaptive 3d transform-domain collaborative filtering for laser speckle imaging of blood flow. Panasonic infrared array sensor grid-eye amg88. Kumar A, Shwe HY, Wong KJ, Chong PH (2017) Location-based routing protocols for wireless sensor networks: a survey. Pardo-Bosch F, Blanco A, Sesé E, Ezcurra F, Pujadas P (2022) Sustainable strategy for the implementation of energy efficient smart public lighting in urban areas: case study in San Sebastian. In: Proceedings of the international conference on smart energy systems and technologies (SEST), IEEE, Porto, Portugal, pp 1–5 Tukymbekov D, Saymbetov A, Nurgaliyev M, Kuttybay N, Nalibayev Y, Dosymbetova G (2019) Intelligent energy efficient street lighting system with predictive energy consumption. Lee C-T, Chen L-B, Chu H-M, Hsieh C-J (2022) Design and implementation of a leader-follower smart office lighting control system based on IoT technology. Jiang J, Mohagheghi A, Moallem M (2020) Energy-efficient supplemental led lighting control for a proof-of-concept greenhouse system.
Zarindast A, Wood J (2021) A data-driven personalized lighting recommender system. Energy Sources Part A Recovery Util Environ Eff 1–21. Shankar A, Krishnasamy V, Babu BC (2020) Smart led lighting system with occupants’ preference and daylight harvesting in office buildings. Wu L, Wang Y (2019) A low-power electric-mechanical driving approach for true occupancy detection using a shuttered passive infrared sensor. Wu L, Wang Y, Liu H (2018) Occupancy detection and localization by monitoring nonlinear energy flow of a shuttered passive infrared sensor.
Star stable database manual#
This energy efficiency is achieved through the combined effects of using energy-efficient LED lighting system and automatic as well as manual lighting control through intelligent algorithm and smart app, respectively, used in the system.ĭiLaura D (2008) A brief history of lighting. Results from the testbed show that the proposed lighting system is around 72% energy efficient than the conventional fluorescent lighting system while providing individual visual comfort to the occupants.
Star stable database android#
The Smart Android App allows the user to modify light intensities depending on visual comfort or the activity-based needs of users. The system is a wireless sensor–actuator network-based and makes use of illumination sensors and occupancy sensors, which measure the ambient light, detect the user’s presence, and controls the intensity of light on a user’s work area. The proposed lighting system best uses historical user preferences, collaborative user preferences, and historical energy consumption data through a recommender systems-based intelligent algorithm to generate proffered lighting set-point and optimize energy consumption of the lighting system. This paper presents and analyzes an intelligent lighting system for the visual comfort of individuals and the energy efficiency of buildings. Therefore, it is a challenge to meet individual-level comfort in these buildings without compromising energy efficiency. Office buildings especially workplaces are not tailor-made to meet personal indoor requirements of comfort.
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