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Bhukya, K. A., Ramasubbareddy, S., Govinda, K., & Srinivas, T. A. S. |
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Title  |
Adaptive Mechanism for Smart Street Lighting System |
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Journal Article |
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2019 |
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Smart Intelligent Computing and Applications |
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160 |
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69-76 |
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Lighting |
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The adaptive street light has the ability to adapt to the motion of cycles, cars and pedestrians. It uses motion as well as light sensors to detect the traffic and light around. It dims when there is no movement on the road, and is brightened when there is any activity. Smart street lights are very dissimilar from the old methods of lighting. It is an automated system that will be able to automate the streets. The main objective of these lights is to decrease the utilization of power, while no activity is detected on the street. It will be switched ON while there are pedestrians and cars on the street or else they will get dimmed to 20% of the brightness. The proposed approach gives a method to conserve power by using the PIR sensors to sense the incoming traffic and hence turning ON a cluster of lights surrounding the traffic. As the traffic is passing by, the street lights left behind will dim on its own. Hence, a lot of power can be conserved. Also, during the day time when there is no need of light the LDR sensor will sense the light and the light will remain switched OFF. This smart street light system comes under the domain of smart city. |
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IDA @ intern @ |
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2723 |
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Gagliardi, G.; Lupia, M.; Cario, G.; Tedesco, F.; Cicchello Gaccio, F.; Lo Scudo, F.; Casavola, A. |
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Title |
Advanced Adaptive Street Lighting Systems for Smart Cities |
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Journal Article |
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2020 |
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Smart Cities |
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Smart Cities |
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3 |
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4 |
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1495-1512 |
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Lighting; Energy |
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This paper reports the results of a recently concluded R&D project, SCALS (Smart Cities Adaptive Lighting System), which aimed at the development of all hardware/software components of an adaptive urban smart lighting architecture allowing municipalities to manage and control public street lighting lamps. The system is capable to autonomously adjust street lamps’ brightness on the basis of the presence of vehicles (busses/trucks, cars, motorcycles and bikes) and/or pedestrians in specific areas or segments of the streets/roads of interest to reduce the energy consumption. The main contribution of this work is to design a low cost smart lighting system and, at same time, to define an IoT infrastructure where each lighting pole is an element of a network that can increase their amplitude. More generally, the proposed smart infrastructure can be viewed as the basis of a wider technological architecture aimed at offering value-added services for sustainable cities. The smart architecture combines various sub-systems (local controllers, motion sensors, video-cameras, weather sensors) and electronic devices, each of them in charge of performing specific operations: remote street segments lamp management, single street lamp brightness control, video processing for vehicles motion detection and classification, wireless and wired data exchanges, power consumptions analysis and traffic evaluation. Two pilot sites have been built up in the project where the smart architecture has been tested and validated in real scenarios. Experimental results show that energy savings of up to 80% are possible compared to a traditional street lamp system. |
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2624-6511 |
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GFZ @ kyba @ |
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3274 |
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Pocock, T. |
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Advanced lighting technology in controlled environment agriculture |
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2016 |
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Lighting Research and Technology |
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Lighting Research and Technology |
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48 |
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1 |
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83-94 |
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Plants; Lighting |
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There is a recent awareness of the importance of plants in our everyday lives. Light is a requirement for plants and serves two important roles. It provides energy for growth and provides information that elicits plant responses including, among others, plant shape, pigmentation, nutritional content and resistance to stress. Light is paradoxical to plants, it is a requirement however, in excess it is damaging. Plants sense and interpret light through many families of photoreceptors and through the energy state of the photosynthetic apparatus. Light emitting diodes (LEDs) are quickly replacing traditional light sources for human applications, and currently there is effort being put into tailoring these technology platforms for the plant community. Potential plant sensing pathways and the spectral effects on pigmentation and photochemistry in red lettuce are described. |
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1477-1535 |
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LoNNe @ kyba @ |
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1383 |
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Stevens, R.G.; Brainard, G.C.; Blask, D.E.; Lockley, S.W.; Motta, M.E. |
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Title |
Adverse health effects of nighttime lighting: comments on American Medical Association policy statement |
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2013 |
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American Journal of Preventive Medicine |
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Am J Prev Med |
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45 |
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3 |
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343-346 |
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American Medical Association; Cell Cycle/physiology; Circadian Rhythm/*physiology; DNA Damage/physiology; *Health Policy; Humans; Lighting/*adverse effects; United States |
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The American Medical Association House of Delegates in June of 2012 adopted a policy statement on nighttime lighting and human health. This major policy statement summarizes the scientific evidence that nighttime electric light can disrupt circadian rhythms in humans and documents the rapidly advancing understanding from basic science of how disruption of circadian rhythmicity affects aspects of physiology with direct links to human health, such as cell cycle regulation, DNA damage response, and metabolism. The human evidence is also accumulating, with the strongest epidemiologic support for a link of circadian disruption from light at night to breast cancer. There are practical implications of the basic and epidemiologic science in the form of advancing lighting technologies that better accommodate human circadian rhythmicity. |
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University of Connecticut Health Center, Farmington, Connecticut 06030-6325, USA. bugs@uchc.edu |
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English |
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0749-3797 |
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PMID:23953362 |
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IDA @ john @ |
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130 |
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Kuechly, H.U.; Kyba, C.C.M.; Ruhtz, T.; Lindemann, C.; Wolter, C.; Fischer, J.; Hölker, F. |
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Aerial survey and spatial analysis of sources of light pollution in Berlin, Germany |
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Journal Article |
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2012 |
Publication |
Remote Sensing of Environment |
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Remote Sensing of Environment |
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126 |
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39-50 |
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Light pollution; Artificial lighting; Urban analysis; Remote sensing; GIS; Darkness; Spatial analysis; Light at night |
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Aerial observations of light pollution can fill an important gap between ground based surveys and nighttime satellite data. Terrestrially bound surveys are labor intensive and are generally limited to a small spatial extent, and while existing satellite data cover the whole world, they are limited to coarse resolution. This paper describes the production of a high resolution (1 m) mosaic image of the city of Berlin, Germany at night. The dataset is spatially analyzed to identify the major sources of light pollution in the city based on urban land use data. An area-independent ‘brightness factor’ is introduced that allows direct comparison of the light emission from differently sized land use classes, and the percentage area with values above average brightness is calculated for each class. Using this methodology, lighting associated with streets has been found to be the dominant source of zenith directed light pollution (31.6%), although other land use classes have much higher average brightness. These results are compared with other urban light pollution quantification studies. The minimum resolution required for an analysis of this type is found to be near 10 m. Future applications of high resolution datasets such as this one could include: studies of the efficacy of light pollution mitigation measures, improved light pollution simulations, economic and energy use, the relationship between artificial light and ecological parameters (e.g. circadian rhythm, fitness, mate selection, species distributions, migration barriers and seasonal behavior), or the management of nightscapes. To encourage further scientific inquiry, the mosaic data is freely available at Pangaea: http://dx.doi.org/10.1594/PANGAEA.785492. |
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Freie Universität Berlin, Department of Earth Sciences, Institute for Space Sciences, Carl-Heinrich-Becker-Weg 6‐10, 12165 Berlin, Germany |
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0034-4257 |
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IDA @ john @ |
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188 |
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