757 resultados para Occupancy


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This paper assesses the response of four common species of forest dependant insectivorous birds to an urban–forest gradient. The presence or absence was recorded for each species in landscapes that varied in landscape and site level attributes. Landscapes were classified into three categories based on their level of urbanisation. Broad comparisons across the landscapes were used to determine species specific response to increasing levels of urbanisation. Site level attributes were modelled to predict the patch occupancy for each species in each of the landscape types. Two broad trends were identified: the superb fairy wren (Malurus cyaneus) and white-browed scrubwren (Sericornis frontalis) displayed a tolerance to urbanisation and the eastern yellowrobin (Eosaltrica australis) and white throated treecreeper (Cormobates leucophaeus) demonstrated a threshold response to urbanisation. The density of roads (−ve) and the extent of tree cover (+ve) in a landscape were highly correlated with the occurrence of urban sensitive species while at the site level the density of roads and density of rivers were the strongest contributors to their presence. The marked differences in the isolation and connectivity of patches where the threshold for urban sensitive species ceases are the likely contributors to their decline and sensitivity to suburban habitats. Conservation and management of urban sensitive species is largely dependant on the way urban development is managed. Of critical importance is careful planning in urban-fringe environments.

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Improved access to multibeam sonar and underwater video technology is enabling scientists to use spatially-explicit, predictive modelling to improve our understanding of marine ecosystems. With the growing number of modelling approaches available, knowledge of the relative performance of different models in the marine environment is required. Habitat suitability of 5 demersal fish taxa in Discovery Bay, south-east Australia, were modelled using 10 presence-only algorithms: BIOCLIM, DOMAIN, ENFA (distance geometric mean [GM], distance harmonic mean [HM], median [M], area-adjusted median [Ma], median + extremum [Me], area-adjusted median + extremum [Mae] and minimum distance [Min]), and MAXENT. Model performance was assessed using kappa and area under curve (AUC) of the receiver operator characteristic. The influence of spatial range (area of occupancy) and environmental niches (marginality and tolerance) on modelling performance were also tested. MAXENT generally performed best, followed by ENFA-GM and -HM, DOMAIN, BIOCLIM, ENFA-M, -Min, -Ma, -Mae and -Me algorithms. Fish with clearly definable niches (i.e. high marginality) were most accurately modelled. Generally, Euclidean distance to nearest reef, HSI-b (backscatter), rugosity and maximum curvature were the most important variables in determining suitable habitat for the 5 demersal fish taxa investigated. This comparative study encourages ongoing use of presence-only approaches, particularly MAXENT, in modelling suitable habitat for demersal marine fishes.

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Many disastrous events worldwide have impacted on the image of tourist destinations. The subsequent downturn in tourism numbers and tourism spending has been directly blamed on those events. Arrival numbers and hotel occupancy rates have shown an immediate downturn following disastrous events in recent years. A comprehensive crisis management plan should incorporate guidelines to manage the return to the pre-disaster stage and re-positioning of the destination to re-establish its image.

The destination image models discussed in the literature, to date, have not included crisis management as one of the important considerations for a destination. This paper advocates changes to tourism destination image models that recognise the importance of crisis management and its subsequent impact on destination image. Tourism industry planners and marketers need to have access to reliable theoretical frameworks that incorporate all aspects of destination image to guide strategy formulation. The suggested improved model incorporating crisis management status - the preparedness for and the ability to deal with a disaster at any level - is more likely to provide this opportunity.

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The aim of this study is to improve the management of multi-storey low-coast housing occupied by low-income households in Malaysia.  this study suggests the residents' background and socio-economic, the occupancy rates, residents' satisfaction with their dwellings and neighbours could resolve and improve housing management issues.

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User behaviour significantly affects energy consumption simulation estimates, which can consequently influence architectural design decisions at an early stage. Different regional behavioural patterns could, therefore, hinder the applicability of certain architectural and environmental strategies. Through questionnaires analysis and field studies, this study investigates the pattern use of manual control of windows, shading and air condition units, in residential buildings in Greece, during summer. Initial findings of the analysis indicate significant interaction of Greek residents with the building shell, in their effort to maintain comfort.

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In this paper, we present a novel person detection system for public transport buses tackling the problem of changing illumination conditions. Our approach integrates a stable SIFT (Scale Invariant Feature Transform) background seat modeling mechanism with a human shape model into a weighted Bayesian framework to detect passengers on-board buses. SIFT background modeling extracts local stable features on the pre-annotated background seat areas and tracks these features over time to build a global statistical background model for each seat. Since SIFT features are partially invariant to lighting, this background model can be used robustly to detect the seat occupancy status even under severe lighting changes. The human shape model further confirms the existence of a passenger when a seat is occupied. This constructs a robust passenger monitoring system which is resilient to illumination changes. We evaluate the performance of our proposed system on a number of challenging video datasets obtained from bus cameras and the experimental results show that it is superior to state-of-art people detection systems.

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Predicting the response of faunal communities to fire presents a challenge for land managers worldwide because the post-fire responses of species may vary between locations and fire events. Post-fire recovery can occur via nucleated recovery from in situ surviving populations or by colonization from ex situ populations. Fine-scale spatial patterns in the patchiness of fires and the proximity of burnt sites to source populations may contribute to both the variability in post-fire responses and the processes by which populations recover. We examined the avifauna at recently burnt sites within extensive semi-arid shrublands of south-eastern Australia, including 72 sites < 5 years since fire and 26 sites 10 years since fire. Study sites represented a gradient of increasing distance from ‘unburnt’ vegetation (i.e. > 27 years since fire) and varied in the presence or absence of small (25–900 m2) unburnt patches of vegetation. For sites < 5 years since fire, species richness was higher at sites closer to unburnt vegetation and at sites containing unburnt patches. These patterns were no longer evident at sites of 10 years since fire. The probability of occurrence of three of seven bird species modelled decreased with increasing distance to unburnt vegetation, but this pattern was evident only at sites burnt uniformly. One species was found almost exclusively at patchily burnt sites. These results are consistent with the hypothesis that proximity to unburnt vegetation enhances post-fire occupancy, and that colonization from ex situ populations is an important process for post-fire recovery of avifauna. Additionally, small unburnt patches enhance the rapid recovery of assemblages post-fire. These patterns are important for understanding the dynamics of post-fire population recovery. We recommend that management of fire for ecological purposes should explicitly consider the role that the spatial attributes of fires play in determining the post-fire community.

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Waterfront and port zones around the world have long been subject to change, as they have variously been used for trade, waste disposal, leisure and most recently for urban re-imagining, spectacle and lifestyle housing. While such a narrative has been well explored in the urban studies literature, another element of port development – its relation to imperialism and colonisation has not. In the case of colonized countries – such as Australia, but also Canada, the United States and across Africa and Asia – waterfronts were often the entry points of imperial occupancy and key sites for colonial trade and industry. Contestation over how to value and use these sites is integral to their constitution as landscapes, as place taking becomes part of their place making. It will be argued, using case studies drawn from Adelaide and Melbourne in Australia that these sites register a range of culturally-specific imprints connected to the colonisation process. For Indigenous Australians, sea country was indistinguishable from land, but subsequent assessments have seen land demarcated from the ocean, water defiled and obliterated, slums designated but then redeveloped and the Indigenous present rendered benign through its symbolic re-presentation. This post-colonial reading will correlate the divide between land and water with those who have the imperial and class power to define this elemental boundary to add a new dimension to studies of waterfronts.

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The objective of this study is to investigate the impacts of mixed use developments on parking requirements. Along with the renewed interests in mixed use development, shared parking concept has been a focus for traffic engineers, local governments and mixed use developers in recent years. With the help of a case study of Gold Coast city in Australia, this study has identified that shared parking significantly reduces the overall parking requirements of mixed use developments. However, to be shared parking more effective, the type and the size of various land uses within a particular mixed use development should favour the concept. For example, offices and hotels can go side by side as the time-of-day parking requirements and peak parking demand do not conflict each other. A series of time-of-day parking occupancy rates have been developed for typical land use categories to identify such effectiveness.

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This study assessed organisational readiness and factors to drive clinical practice improvement for VAP, CRBSI and PU in a Malaysian intensive care unit (ICU). A mixed method study approach was undertaken in a 16-bed ICU in regional Malaysia using an environmental scan, key informant interviews, staff surveys, and patient audit to elucidate factors contributing to planning for clinical practice improvement. Measurements of sustainability of practice and regard for the practice environment were assessed using validated measures. An environmental scan demonstrated high patient occupancy and case load. Nineteen percent of ICU patients developed complications according to validated measures. Survey results indicated that the majority of nurses had a good knowledge of strategies to prevent ICU complications and a positive attitude toward change processes. Engaging executive leadership was identified as crucial in priming the clinical site for practice change. Providing nurses with tools to monitor their clinical practice and empowering them to change practices are important in improving clinical outcomes.

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The application of the 'ecosystem approach' to marine conservation management demands knowledge of the distribution patterns of the target species or communities. This information is commonly obtained from species distribution models (SDMs). This article explores an important but rarely acknowledged assumption in these models: almost all species may be present, but simply not detected by the particular survey method. However, nearly all of these SDM approaches neglect this important characteristic. This leads to the violation of a fundamental assumption of these models, which presuppose the detection of a species is equal to one (i.e. at each survey locality, a species is perfectly detected). In this article, the concept of imperfect detection is discussed, how it potentially influences the prediction of species' distributions is examined, and some statistical methods that could be used to incorporate the detection probability of species in estimates of their distribution are suggested. The approaches discussed here could improve the collection and interpretation of marine biological survey data and provide a coherent way to incorporate detection probability estimates in the modelling of species distributions. This will ultimately lead to an unbiased and more rigorous understanding of the distribution of species in the marine environment.

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The problem of object recognition is of immense practical importance and potential, and the last decade has witnessed a number of breakthroughs in the state of the art. Most of the past object recognition work focuses on textured objects and local appearance descriptors extracted around salient points in an image. These methods fail in the matching of smooth, untextured objects for which salient point detection does not produce robust results. The recently proposed bag of boundaries (BoB) method is the first to directly address this problem. Since the texture of smooth objects is largely uninformative, BoB focuses on describing and matching objects based on their post-segmentation boundaries. Herein we address three major weaknesses of this work. The first of these is the uniform treatment of all boundary segments. Instead, we describe a method for detecting the locations and scales of salient boundary segments. Secondly, while the BoB method uses an image based elementary descriptor (HoGs + occupancy matrix), we propose a more compact descriptor based on the local profile of boundary normals’ directions. Lastly, we conduct a far more systematic evaluation, both of the bag of boundaries method and the method proposed here. Using a large public database, we demonstrate that our method exhibits greater robustness while at the same time achieving a major computational saving – object representation is extracted from an image in only 6% of the time needed to extract a bag of boundaries, and the storage requirement is similarly reduced to less than 8%.

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Owners and tenants of sustainable buildings are now realising the sustainable building that they own or occupy and also how they use the building have a significant impact on their work practices. These stakeholders are demanding sustainability outcomes such as improved occupant health and performance, lower energy and material consumption use as well as encouraging healthy ecosystem in their sustainable building. Clearly the level of user knowledge about a sustainable building and its technologies makes a difference about the actual behaviour towards sustainable buildings (Knott 2007, Stenberg 2007) There remains two major challenge faced by sustainable building occupants: (i) addressing the gap between an occupant's expectations of sustainable building outcomes and what the building actually provides and (ii) overcoming the lack of user knowledge about sustainability design and operation for a particular with regards to performance (Jailani et. al, 2011). This is an innovative study designed to address these challenges. It uses a focus group approach to investigate the gap between (a) user expectations and (b) sustainable building performance, with reference to the relationship between interactive learning process and the level of implementation of sustainability in commercial buildings. The outcome from the study will provide a post-occupancy evaluation of the perception of occupants in sustainable buildings. Most importantly, this information can then assist architects and designers in private and government organisations to successfully develop future sustainable design and policy which can fully capitalise on the original intention when delivering sustainable buildings, as well as providing an innovative feedback mechanism between occupiers and architects.

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Students describe the Library as being central to their learning, offering focus and inspiration, enabling access to information and technologies, and collaboration with peers. Deakin University Library’s building redevelopment program has been integral to the Library’s re-imagined value proposition for students learning in the digital age. The introduction of new generation library and learning spaces strengthens the University’s offer to students for a brilliant education where you are and where you want to go through premium cloud and located learning experiences that are personal, engaging and relevant.

The Library’s building projects are distinctive in terms of location and the built environment, as well as the characteristics of the university campus communities. Each progressive project has brought new aspirations and challenges. Through joint research with Deakin University’s School of Architecture and Built Environment, the Library has developed a quality framework for planning and assessing library and learning spaces.

This paper will discuss the research findings to date on the quality framework and the need to continually review and assess indicators of quality in a highly dynamic digital environment. The Library’s experiences in introducing high-end multimedia provide some insights into planning for and delivering enduring value.

The next steps in exploring the question of how library spaces assist students in achieving their learning goals are introduced.