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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, the authors use multiple survey methods and a hierarchical multi-species occupancy model accounting for imperfect detection to assess extinction risk across the entire carnivore community in Ghana's Mole National Park, a poorly studied West African savanna ecosystem.

47 citations

Journal ArticleDOI
TL;DR: In this article, a general guideline for post occupancy evaluation (POE) practice for government and public buildings in Malaysia is proposed, which is effective, relevant and beneficial to be used by public sector in evaluating the performance of government buildings.
Abstract: The government has an important obligation to ensure that the public buildings and facilities should be well managed to maintain building sustainability. Evaluation after occupancy in buildings is vitally needed to ensure that building performance is sustained. Post Occupancy Evaluation (POE) of buildings is of utmost importance in building performance evaluation as it comprises the technique that is used to evaluate whether a building meets the user’s requirement. By using occupants as benchmark in evaluation, the potential of improving the performance of building is enormous. This paper discusses about a research with the broad aim of developing a general guideline for the POE practice specifically for government and public buildings in Malaysia. The entailing objectives are firstly, to review and analyze the government and public building performance, secondly, to determine the occupants’ satisfaction level, and thirdly, to determine the correlation between building performance and occupants’ satisfaction level. The study has revealed that 74% of the aspects of building performance are in high correlation with the occupants’ satisfaction. The study concludes that the proposed guideline of POE is effective, relevant and beneficial to be used by public sector in evaluating the performance of government and public buildings in Malaysia.

47 citations

Journal ArticleDOI
30 Nov 2016-PLOS ONE
TL;DR: Increasing effort to at least two camera traps facing opposite directions per camera-site in habitat association studies, and to utilize camera-trap arrays when restricted by equipment availability are suggested.
Abstract: The use of camera traps as a tool for studying wildlife populations is commonplace. However, few have considered how the number of detections of wildlife differ depending upon the number of camera traps placed at cameras-sites, and how this impacts estimates of occupancy and community composition. During December 2015-February 2016, we deployed four camera traps per camera-site, separated into treatment groups of one, two, and four camera traps, in southern Illinois to compare whether estimates of wildlife community metrics and occupancy probabilities differed among survey methods. The overall number of species detected per camera-site was greatest with the four-camera survey method (P<0.0184). The four-camera survey method detected 1.25 additional species per camera-site than the one-camera survey method, and was the only survey method to completely detect the ground-dwelling silvicolous community. The four-camera survey method recorded individual species at 3.57 additional camera-sites (P = 0.003) and nearly doubled the number of camera-sites where white-tailed deer (Odocoileus virginianus) were detected compared to one- and two-camera survey methods. We also compared occupancy rates estimated by survey methods; as the number of cameras deployed per camera-site increased, occupancy estimates were closer to naive estimates, detection probabilities increased, and standard errors of detection probabilities decreased. Additionally, each survey method resulted in differing top-ranked, species-specific occupancy models when habitat covariates were included. Underestimates of occurrence and misrepresented community metrics can have significant impacts on species of conservation concern, particularly in areas where habitat manipulation is likely. Having multiple camera traps per site revealed significant shortcomings with the common one-camera trap survey method. While we realize survey design is often constrained logistically, we suggest increasing effort to at least two camera traps facing opposite directions per camera-site in habitat association studies, and to utilize camera-trap arrays when restricted by equipment availability.

47 citations

Journal ArticleDOI
TL;DR: A Bayesian network model has been built to study fire development within generic dwellings up to an advanced fire situation, and likelihoods are assessed for states of human reaction, fire growth, and occupant survival.

47 citations

Journal ArticleDOI
TL;DR: This paper leverages on environmental sensors that are nonintrusive and cost-effective for building occupancy estimation and proposes a convolutional deep bidirectional long short-term memory (CDBLSTM) approach that contains a Convolutional network and a deep structure to automatically learn significant features from the sensory data without human intervention.
Abstract: Buildings consume quite a lot of energy; hence, the issue of building energy efficiency has attracted a great deal of attention in recent years. A key factor in achieving this objective is occupancy information that directly impacts on energy-related building control systems. In this paper, we leverage on environmental sensors that are nonintrusive and cost-effective for building occupancy estimation. Our result relies on feature engineering and learning. The conventional feature engineering requires one to manually extract relevant features without a clear guideline. This blind feature extraction is labor intensive and may miss some significant implicit features. To address this issue, we propose a convolutional deep bidirectional long short-term memory (CDBLSTM) approach that contains a convolutional network and a deep structure to automatically learn significant features from the sensory data without human intervention. Moreover, the long short-term memory networks are able to capture temporal dependencies in the data and the bidirectional structure can take the past and future contexts into consideration for the final identification of occupancy. We have conducted real experiments to evaluate the performance of our proposed CDBLSTM approach. Instead of estimating the exact number of occupants, we attempt to identify the range of occupants, i.e., zero, low, medium, and high, which is adequate for most of building control systems. The experimental results indicate the effectiveness of our proposed approach compared with the state-of-the-art methods.

47 citations


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