179 resultados para Footprints


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Uneasily Along the Sand evokes the state of mind of the great Mallee poet John Shaw Neilson during a period of hospitalization for nervous exhaustion around 1900. To his bed come the voices and apparitions of all those people whom he might have met but who in life eluded him. It is a ghost community of jesters, singers and seers, who parade in harlequin costumes and recall the poet to the vanishing spirit of the Mallee forest. In particular, a Wotjobaluk man by the name of ‘Jowley’ haunts him, a man found by white people as a child abandoned in a hollow log - abandoned, lost, stolen? The sound installation ‘Mac’ (that forms part of Uneasily and which will receive its first national broadcast to coincide with Mildura Palimpsest #8) evokes their strange meeting and a kind of reconciliation of peoples and cultures with environments that remains elusive. The hospital, where Neilson heard strange voices and saw strange visions, is evoked in a video work based on a set of ‘actions’ performed in Mildura’s Old Base Hospital, and sound recordings made in Pyrenees House, Ararat (a replica of the Swan Hill Hospital where Neilson was confined). The hospital solarium is transformed into a strangely distorted Mallee paddock, of sand, barbed wire and mattresses that leak like hour glasses. Caught in the fence lines of this dream world are scraps of a woman’s dress, bed sheets inscribed with charcoaled graffiti and footprints alluding to the ‘unevennesses’ of a life. Uneasily Along the sand is inspired by Paul Carter’s recent book, ‘Ground Truthing: explorations in a creative region’. The installation of Uneasily in Mildura coincides with Opening, another work inspired by ‘Ground Truthing’ that Carter and Dirk de Bruyn have created for the big screen at Federation Square, Melbourne.

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This paper proposes a novel technique for 3D mesh segmentation using multiple 2D pose footprints. Such problem has been targeted many times in the literature, but still requires further development especially in the area of automation. The proposed algorithm applies cognition theory and provides a generic technique to form a 3D bounding contour from a seed vertex on the 3D mesh. Forming the cutlines is done in both 2D and 3D spaces to enrich the available information for the search processes. The main advantage of this technique is the possibility to operate without any object-dependent parameters. The parameters that can be used will only be related to the used cognition theory and the seeds suggestion, which is another advantage as the algorithm can be generic to more than one theory of segmentation or to different criterion. The results are competitive against other algorithms, which use object-dependent or tuning parameters. This plus the autonomy and generality features, provides an efficient and usable approach for segmenting 3D meshes and at the same time to reduce the computation load.

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Crafting environmental policies that at the same time enhance, or at least not reduce people's wellbeing, is crucial for the success of government action aimed at mitigating environmental impact. However, there does not yet exist any survey that refers to one and the same population, and that allows the identifying relationships and trade-offs between subjective wellbeing and the complete environmental impact of households. In order to circumvent the lack of comprehensive survey information, we attempt to integrate two separate survey databases, and describe the challenges associated with this integration. Our results indicate that carbon footprints are likely to increase, but wellbeing levels off with increasing income. Living together with people is likely to create a win-win situation where both climate and wellbeing benefit. Car ownership obviously creates emissions, however personal car ownership enhances subjective wellbeing, but living in an area with high car ownership decreases subjective wellbeing. Finally, gaining educational qualifications is linked with increased emissions. These results indicate that policy-making is challenged in striking a wise balance between individual convenience and the common good.

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The United Arab Emirates (UAE) face a serious water problem. It has a very dry climate, high evaporation rate, combined with large water consumption from fast growing population, economic activities and uncontrolled uses of water for irrigation. Currently, UAE has one of the largest water footprints in the world. Groundwater is overexploited. Waste water is increasingly being treated to supply non-drinking water, but it still cover a small proportion of the demand. Desalination of sea water is the main source of potable water in UAE, but the high economic cost of desalination, its intensive energy demand and the adverse effects of its effluents on the marine life are a major concern. Other factors contributing to the problem are the focus of water management policies on keep supplying the growing demand for water, the increase of the per capita water consumption, and the free water charge for most of population. This research goal is to develop a water sustainability set of indicators for the challenging context of UAE. This paper presents the first stage of the research. Based on a review of the literature, the proposed framework involves 19 indicators, divided into four categories: water availability; water quality; water use efficiency; and policy and governance. Using an integrated cause-effect approach (DSR - Driving force, State, Response), the indicators were related in terms of their interdependencies, with a holistic view of the city water cycle. A preliminary test of the indicators to Abu Dhabi as a case study allowed an evaluation of the main 'Driving force' on the system, such as the scarcity of water due to natural constraints of the region, and increasing water consumption patterns of modern society; an assessment of the current 'state', which is under serious water stress. Also it indicated some potential 'responses', such as implementing policies for increasing efficient use.

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This paper details a system dynamics model developed to simulate proposed changes to water governance through the integration of supply, demand and asset management processes. To effectively accomplish this, interconnected feedback loops in tariff structures, demand levels and financing capacity are included in the model design, representing the first comprehensive life-cycle modelling of potable water systems. A number of scenarios were applied to Australia's populated South-east Queensland region, demonstrating that introducing temporary drought pricing (i.e. progressive water prices set inverse with availability), in conjunction with supply augmentation through rain-independent sources, is capable of efficiently providing water security in the future. Modelling demonstrated that this alternative tariff structure reduced demand in scarcity periods thereby preserving supply, whilst revenues are maintained to build new water supply infrastructure. In addition to exploring alternative tariffs, the potential benefits of using adaptive pressure-retarded osmosis desalination plants for both potable water and power generation was explored. This operation of these plants for power production, when they would otherwise be idle, shows promise in reducing their net energy and carbon footprints. Stakeholders in industry, government and academia were engaged in model development and validation. The constructed model displays how water resource systems can be reorganised to cope with systemic change and uncertainty.

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Purpose – Construction contractors and facility managers are being challenged to minimize the carbon footprint. Life cycle carbon‐equivalent (CO2‐e) accounting, whereby the potential emissions of greenhouse gases due to energy expenditure during construction and subsequent occupation of built infrastructure, generally ceases at the end of the service life. However, following demolition, recycling of demolition waste that becomes incorporated into 2nd generation construction is seldom considered within the management of the carbon footprint. This paper aims to focus on built concrete infrastructure, particularly the ability of recycled concrete to chemically react with airborne CO2, thereby significantly influencing CO2‐e estimates.

Design/methodology/approach – CO2‐e estimates were made in accordance with the methodology outlined in the Australian National Greenhouse Accounts (NGA) Factors and were based on the energy expended for each life cycle activity from audited records. Offsets to the CO2‐e estimates were based on the documented ability of concrete to chemically react with airborne carbon dioxide (“carbonation”) and predictions of CO2 uptake by concrete and recycled concrete was made using existing predictive diffusion models. The author's study focused on a built concrete bridge which was demolished and recycled at the end of the service life, and the recycled concrete was utilized towards 2nd generation construction. The sensitivity of CO2‐e and carbonation estimates were tested on several different types of source demolition waste as well as subsequent construction applications using recycled concrete (RCA). Whole‐of‐life CO2‐e estimates, including carbonation of RCA over the 1st and 2nd generations, were estimated and contrasted with conventional carbon footprints that end at the conclusion of the 1st generation.

Findings – Following demolition, CO2 capture by RCA is significant due to the more permeable nature of the crushed RCA compared with the original built infrastructure. RCA also has considerably greater exposed surface area, relative to volume, than a built concrete structure, and therefore more highly exposed surface to react with CO2: it therefore carbonates more comprehensively. CO2‐e estimates can be offset by as much as 55‐65 per cent when including the contribution of carbonation of RCA built within 2nd generation infrastructure. Further offsets are achievable using blended fly ash or slag cement binders; however, this study has focused on concrete composed of 100 per cent OPC binders and the effects of RCA.

Originality/value – Construction project estimates of life cycle CO2‐e emissions should include 2nd generation applications that follow the demolition of the 1st generation infrastructure. Life cycle estimates generally end at the time of demolition. However, by incorporating the recycled concrete demolition waste into the construction of 2nd generation infrastructure, the estimated CO2‐e is significantly offset during the 2nd generation life cycle by chemical uptake of CO2 (carbonation). This paper provides an approach towards inclusion of 2nd generation construction applications into whole‐of‐life estimates of CO2‐e.

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In cloud environments, IT solutions are delivered to users via shared infrastructure. One consequence of this model is that large cloud data centres consume large amounts of energy and produce significant carbon footprints. A key objective of cloud providers is thus to develop resource provisioning and management solutions at minimum energy consumption while still guaranteeing Service Level Agreements (SLAs). However, a thorough understanding of both system performance and energy consumption patterns in complex cloud systems is imperative to achieve a balance of energy efficiency and acceptable performance. In this paper, we present StressCloud, a performance and energy consumption analysis tool for cloud systems. StressCloud can automatically generate load tests and profile system performance and energy consumption data. Using StressCloud, we have conducted extensive experiments to profile and analyse system performance and energy consumption with different types and mixes of runtime tasks. We collected finegrained energy consumption and performance data with different resource allocation strategies, system configurations and workloads. The experimental results show the correlation coefficients of energy consumption, system resource allocation strategies and workload, as well as the performance of the cloud applications. Our results can be used to guide the design and deployment of cloud applications to balance energy and performance requirements.

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O principal objetivo dessa dissertação é analisar, através de um estudo caso, como a questão do “preconceito intergrupal” pode ser percebida no desenvolvimento histórico de pequenos municípios brasileiros. Escolhendo a história da memória da cidade de Cachoeira da Prata como objeto central, buscamos discutir como ocorreu o processo de diferenciação social da pequena comunidade formada pelos descendentes do ex-escravo Nicolau Teixeira do restante da cidade. Para tanto, dividimos a dissertação em duas partes. A primeira é formada pelos três primeiros capítulos, nos quais apresentamos a vila fabril de Cachoeira de Macacos como o cenário, no qual o cel. Américo Teixeira é identificado como o líder maior de um projeto de domínio político e industrial que deixou marcas duradouras na memória da população mais antiga da cidade. Nesse contexto, buscamos discutir como o fenômeno do pós-emancipação da escravidão se manifestou na localidade, analisando parte da trajetória de vida do ex-escravo Nicolau Teixeira, um leal apoiador do projeto político do cel. Américo, que se tornou, na primeira metade do século XX, o patriarca de uma comunidade criada nas imediações da antiga vila fabril. Na segunda parte, composta exclusivamente pelo quarto capítulo, discutimos de maneira conjugada, a história da diferenciação social da comunidade e diferentes posicionamentos políticos e metodológicos que adotamos ao longo da pesquisa. Após essa análise, concluímos que só é possível entender os meandros do processo que levou os descendentes de Nicolau Teixeira à condição de exclusão social após percebê-los como atores capazes de elaborar narrativas e representações que auxiliam a população de Cachoeira da Prata a conhecer um “outro lado” da história local.

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This work aimed to study the reproduction and description of technique for digital sampling images during rats gait and determination of the sciatic functional index (SFI), through a glass walkway to obtain shoots with a digital camera. After controlled injury by strangulation of sciatic nerve, with 3mm of length, during 30 seconds, using hemostatic forceps, a group of 32 rats was performed 24 hours before the lesion which served as control and 24 hours, 7, 14 and 21 days after injury. The tests consisted in the filming and shooting each animal in order to observe the view from below (by a mirror to 45 degrees) and subsequently analyzed using the IMAGE-J program. Measures were taken from the lengths of the legs (right and left), and the distance between the ankle. In the analysis of IFC, values close to zero (0) suggest that the function of the sciatic nerve is still preserved and values coming from "less one hundred" (-100) indicate total loss of function. It was verified in this study that 24 hours before surgery the average SFI was -7.07 +/- 7.88 and 24 hours after injury these values rose to an average of -77.95 +/- 13.81, being about 10 times larger, where 78% of the animals showed 60 to 100% of functional loss in motor activity, demonstrated by the gradual recovery over the days analyzed, confirming the accuracy and effectiveness of the proposed methodology. These results suggest that studies can be conducted to simplify and reduce costs using the technique for digital images of footprints during rats gait in the laboratory.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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This issue of the FAL Bulletin discusses the relevance of energy consumption as a basis for identifying energy efficiency potential and calculating the carbon footprints of ports and terminals in Latin America and the Caribbean (LAC), focusing on the Southern Cone countries of Argentina, Chile, Paraguay and Uruguay.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)