Relevant bibliographies by topics / Self-Configuring lighting

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'Self-Configuring lighting'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Self-Configuring lighting"

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Luxman, Ramamoorthy, Marvin Nurit, Gaëtan Le Goïc, Franck Marzani, and Alamin Mansouri. "Next Best Light Position: A self configuring approach for the Reflectance Transformation Imaging acquisition process." Electronic Imaging 2021, no. 5 (2021): 132–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.5.maap-132.

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Reflectance Transformation Imaging (RTI) is a computational photographic method that captures an object’s surface shape & color and enables the interactive re-lighting of the subject from any direction. RTI model of an object is built from multiple images of it captured by a stationary camera but varying light directions. By changing the direction of the light, the respective micro-geometry of the object is highlighted. The RTI acquisition process is often long, and tedious when it is not automated. It requires expertise to define for each analysed object which are the number and the relev
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Davoli, Luca, Mattia Antonini, and Gianluigi Ferrari. "DiRPL: A RPL-Based Resource and Service Discovery Algorithm for 6LoWPANs." Applied Sciences 9, no. 1 (2018): 33. http://dx.doi.org/10.3390/app9010033.

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The Internet of Things (IoT) will bring together billions of devices, denoted as Smart Objects (SOs), in an Internet-like architecture. Typically, SOs are embedded devices with severe constraints in terms of processing capabilities, available memory (RAM/ROM), and energy consumption. SOs tend to be deployed in environments in which the human intervention is not suitable or needs to be minimized (e.g., smart city maintenance). They must adapt to the surrounding environment by self-configuring: to this end, several mechanisms have been proposed (e.g., UPnP, ZeroConf, etc.). In this paper, we foc
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Davoli, Luca, Mattia Antonini, and Gianluigi Ferrari. "DiRPL: A RPL-Based Resource and Service Discovery Algorithm for 6LoWPANs." Applied Sciences 9, no. 1 (2018). https://doi.org/10.3390/app9010033.

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Abstract:
The Internet of Things (IoT) will bring together billions of devices, denoted as Smart Objects (SOs), in an Internet-like architecture. Typically, SOs are embedded devices with severe constraints in terms of processing capabilities, available memory (RAM/ROM), and energy consumption. SOs tend to be deployed in environments in which the human intervention is not suitable or needs to be minimized (e.g., smart city maintenance). They must adapt to the surrounding environment by self-configuring: to this end, several mechanisms have been proposed (e.g., UPnP, ZeroConf, etc.). In this paper, we foc
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Harley, Alexis. "Resurveying Eden." M/C Journal 8, no. 4 (2005). http://dx.doi.org/10.5204/mcj.2382.

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 The Garden of Eden is the original surveillance state. God creates the heavens and the earth, turns on the lights, inspects everything that he has made and, behold, finds it very good. But then the creation attempts to acquire the surveillant properties of the creator. In Genesis 3, a serpent explains to Eve the virtues of forbidden fruit: “Ye shall not die: For God doth know that in the day ye eat thereof, then your eyes shall be opened, and ye shall be as gods, knowing good and evil” (Genesis 3: 4–5). Adam’s and Eve’s eyes are certainly opened (sufficiently so to necessi
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Dissertations / Theses on the topic "Self-Configuring lighting"

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Ansarnia, Masoomeh. "Development and Test of Computer Vision and Deep Learning Methods for Dynamic Management of Urban Lighting." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0272.

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Cette thèse de doctorat est réalisée dans le cadre d'un contrat de recherche entre la Société Eclatec, concepteur et fabricant français de luminaires urbains, et l'Institut Jean Lamour de Nancy. L'objectif concerne l'amélioration de l'éclairage nocturne des villes tout en réduisant la consommation électrique et la pollution lumineuse. Pour cela une caméra RGB est intégrée à la source lumineuse du lampadaire. Elle constitue le principal point de collecte d'informations. Ce choix a imposé l'utilisation d'une optique très grand angle dont l'axe est faiblement incliné par rapport à la verticale. L
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"Self-Configuring and Self-Adaptive Environment Control Systems for Buildings." Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.36025.

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abstract: Lighting systems and air-conditioning systems are two of the largest energy consuming end-uses in buildings. Lighting control in smart buildings and homes can be automated by having computer controlled lights and window blinds along with illumination sensors that are distributed in the building, while temperature control can be automated by having computer controlled air-conditioning systems. However, programming actuators in a large-scale environment for buildings and homes can be time consuming and expensive. This dissertation presents an approach that algorithmically sets up the c
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