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Occupancy

About: Occupancy is a research topic. Over the lifetime, 2757 publications have been published within this topic receiving 68288 citations.


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Journal ArticleDOI
TL;DR: In this article, a simple methodology based on Hidden Markov models for the problem of unsupervised occupancy detection using the open source program R was presented and evaluated against ground truth occupancy from a public data set.

83 citations

Journal ArticleDOI
TL;DR: In this article, a generic, feasible and low cost occupancy detection solution is proposed to provide reliable real-time occupancy information in buildings using the Bayesian belief network (BBN) algorithm.

81 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of fragmentation on patch occupancy by the critically endangered Mexican mantled howler monkey (Alouatta palliata mexicana) in the Los Tuxtlas region of Mexico were studied.
Abstract: Understanding how forest cover is related to patch attributes such as size, shape, and isolation, and how this influences the occurrence of a species in fragmented landscapes is an important question in landscape ecology and conservation biology. To study the effects of fragmentation on patch occupancy by the critically endangered Mexican mantled howler monkey (Alouatta palliata mexicana) in the Los Tuxtlas region of Mexico, we selected three landscapes of ca. 5,000 ha, which differed in their remaining forest cover (24, 11, and 4%). For each landscape, we related patch occupancy to forest cover, patch size and shape, and four isolation parameters. Landscape attributes varied according to forest cover, and the percentage of occupation was greater in landscapes with more forest cover. The attributes affecting the probability of occupancy differed among landscapes. Occupancy was positively related to patch size in all landscapes, but in the northernmost landscape, shape irregularity had a negative effect on occupancy, whereas in the southernmost landscape, occupancy was favored by greater distances to the nearest village. The results show that not only the total amount of forest cover but also patch configuration need to be taken into consideration when designing management strategies for the conservation of the Mexican mantled howler monkey.

81 citations

Proceedings ArticleDOI
24 Jul 2013
TL;DR: A low-cost and non-intrusive sensor network was deployed in an open-plan office, combining information such as sound level, case temperature, carbon-dioxide (Co2) and motion, to estimate occupancy numbers, while an infrared camera was implemented to establish ground truth occupancy levels.
Abstract: Current occupancy sensing technologies may limit the effectiveness of buildings controls, due to a number of issues ranging from unreliable data, sensor drift, privacy concerns, and insufficient commissioning. More effective control of Heating, Ventilation and Air-conditioning (HVAC) systems may be possible using a smart and adaptive sensing network for occupancy detection, capable of turning off services out of hours, and not over-ventilating, thus enabling energy savings, and not under-ventilating during occupied periods, giving comfort and health benefits. A low-cost and non-intrusive sensor network was deployed in an open-plan office, combining information such as sound level, case temperature, carbon-dioxide (Co2) and motion, to estimate occupancy numbers, while an infrared camera was implemented to establish ground truth occupancy levels. Symmetrical uncertainty analysis was used for feature selection, and a genetic based search to evaluate an optimal sensor combination. Selected multi-sensory features were fused using a neural network. From initial results, estimation accuracy reaching up to 75% for occupied periods was achieved. The proposed system offers promising opportunities for improved comfort control and energy efficiency in buildings.

80 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023669
20221,420
2021234
2020217
2019236
2018209