990 resultados para Environmental Database


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Characteristics of surveillance video generally include low resolution and poor quality due to environmental, storage and processing limitations. It is extremely difficult for computers and human operators to identify individuals from these videos. To overcome this problem, super-resolution can be used in conjunction with an automated face recognition system to enhance the spatial resolution of video frames containing the subject and narrow down the number of manual verifications performed by the human operator by presenting a list of most likely candidates from the database. As the super-resolution reconstruction process is ill-posed, visual artifacts are often generated as a result. These artifacts can be visually distracting to humans and/or affect machine recognition algorithms. While it is intuitive that higher resolution should lead to improved recognition accuracy, the effects of super-resolution and such artifacts on face recognition performance have not been systematically studied. This paper aims to address this gap while illustrating that super-resolution allows more accurate identification of individuals from low-resolution surveillance footage. The proposed optical flow-based super-resolution method is benchmarked against Baker et al.’s hallucination and Schultz et al.’s super-resolution techniques on images from the Terrascope and XM2VTS databases. Ground truth and interpolated images were also tested to provide a baseline for comparison. Results show that a suitable super-resolution system can improve the discriminability of surveillance video and enhance face recognition accuracy. The experiments also show that Schultz et al.’s method fails when dealing surveillance footage due to its assumption of rigid objects in the scene. The hallucination and optical flow-based methods performed comparably, with the optical flow-based method producing less visually distracting artifacts that interfered with human recognition.

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OBJECTIVE: This paper reviews the epidemiological evidence on the relationship between ambient temperature and morbidity. It assesses the methodological issues in previous studies, and proposes future research directions. DATA SOURCES AND DATA EXTRACTION: We searched the PubMed database for epidemiological studies on ambient temperature and morbidity of non-communicable diseases published in refereed English journals prior to June 2010. 40 relevant studies were identified. Of these, 24 examined the relationship between ambient temperature and morbidity, 15 investigated the short-term effects of heatwave on morbidity, and 1 assessed both temperature and heatwave effects. DATA SYNTHESIS: Descriptive and time-series studies were the two main research designs used to investigate the temperature–morbidity relationship. Measurements of temperature exposure and health outcomes used in these studies differed widely. The majority of studies reported a significant relationship between ambient temperature and total or cause-specific morbidities. However, there were some inconsistencies in the direction and magnitude of non-linear lag effects. The lag effect of hot temperature on morbidity was shorter (several days) compared to that of cold temperature (up to a few weeks). The temperature–morbidity relationship may be confounded and/or modified by socio-demographic factors and air pollution. CONCLUSIONS: There is a significant short-term effect of ambient temperature on total and cause-specific morbidities. However, further research is needed to determine an appropriate temperature measure, consider a diverse range of morbidities, and to use consistent methodology to make different studies more comparable.

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Extreme temperatures have been shown to have a detrimental effect on health. Hot temperatures can increase the risk of mortality, particularly in people suffering from cardiorespiratory diseases. Given the onset of climate change, it is critical that the impact of temperature on health is understood, so that effective public health strategies can correctly identify vulnerable groups within the population. However, while effects on mortality have been extensively studied, temperature–related morbidity has received less attention. This study applied a systematic review and meta–analysis to examine the current literature relating to hot temperatures and morbidity.

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Young children are most vulnerable to, and most at risk from, environmental and sustainability challenges. Early education investments aimed at addressing such issues, until recently however, have been neglected or under-rated. Fortunately, this is changing. A groundswell of practitioner interest in early childhood environmental education/ education for sustainability is emerging, in contrast to the ‘patches of green’ that have characterised previous decades. Indeed, an international coalition for early childhood education for sustainability (ECEfS) is beginning to develop, evidenced by The Gothenburg Recommendations on Education for Sustainable Development (2008) that identifies early childhood, within a framework of lifelong learning, as a ‘natural starting point’ for all ongoing education for sustainability. This document is important as it is the first international statement to explicitly identify ECEfS as contributing to education for sustainability. The next challenge for ECEfS is for practitioner mobilisation to be matched by research activity aimed at broadening and deepening practice-based responses. This is the next exciting frontier in the legitimisation of ECEfS.

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The relationship between the environment and human rights has long been recognised. It is now largely accepted that a ‘good’ environment is a necessary precondition for the enjoyment of a wide range of human rights, including the right to health, the right to an adequate standard of living, and even the right to life. It has even been suggested that as humans we all possess a right to live in an environment of a certain standard, based on the intrinsic value of the natural world to all human beings. In this context much has been written regarding the important role that the environment plays in human lives. This paper looks at the flip-side of this discussion, and examines what human rights can do for the environment. It is argued that, while there are valid criticisms for linking environmental protection too strongly to human needs, there is nonetheless much to be gained from using human rights law as a framework to achieve environmental protection.

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The role of human rights in environmental governance is increasingly gaining attention. This is particularly the case in relation to the challenge of climate change, where there is growing recognition of a real threat to human rights. This chapter argues in favour of greater reference to human rights principles in environmental governance. It refers to the experiences of Torres Strait Islanders to demonstrate the impact of climate change on human rights, and the many benefits which can be gained from a greater consideration of human rights norms in the development of strategies to combat climate change. The chapter also argues that a human rights perspective can help address the underlying injustice of climate change: that it is the people who have contributed least to the problem who will bear the heaviest burden of its effects.

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The links between the environment and human rights are well established internationally. It is accepted that environmental problems impact on individuals’ and communities’ enjoyment of rights which are guaranteed to them under international human rights law. Environmental issues also impact on governments’ capacity to protect and fulfil the rights of their citizens. In addition to these links between the environment and human rights, it is argued that human rights principles offer a strategy for addressing environmental injustice. The justice implications of environmental problems are well documented, with many examples where pollution, deforestation or other degradation disproportionately impacts upon poorer neighbourhoods or areas populated by minority groups. On the international level, there are environmental injustices which exist between developed and developing states. Further, there are also potential injustices for future generations. This paper investigates the role of human rights principles in addressing these instances of environmental injustice, and argues that the framework of human rights norms provides an approach to environmental governance which can help to minimise injustice and promote the interests of those groups who are most adversely affected. Further, it suggests that the human rights enforcement mechanisms which exist at international law could be utilised to lend more weight to claims for more equitable environmental policies.

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Market-based environmental regulation is becoming increasingly common within international and national frameworks. In order for market-based regimes to attract sufficient levels of stakeholder engagement, participants within such schemes require an incentive to participate and furthermore need to feel a sense of security about investing in such processes. A sense of security is associated with property-based interests. This article explores the property-related issues connected with the operation of environmental markets. Relevant property-related considerations include examining the significant role that market-based regulation is playing in connection with the environment; examining the links between property rights and markets; exploring the legal definition of property; analysing the rights and powers associated with environmental interests in land; advancing theory on the need for landholder responsibilities in relation to land and examining the legal mechanisms used to recognise environmental property rights, including the registration thereof.

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campaign to oppose projects proposed in their local community. The social constructionist perspective advocates that these motivations are driven by activists’ interpretation of reality, such that activists will assign multiple meanings to and frame environmental issues in a way that reflects their view of reality. Past research suggest that these are also influenced by patterns of shared meaning and interpretation that develop over time in protest movements that shape activists’ perceptions of the environmental risks and impacts associated with construction activity. This paper explores the role of gender distinctions in shaping perceptions of environmental risk and how this affects their framing of the environmental, social, cultural/ historical impacts associated with a construction project. Using Snow and Benford’s (1988) 3-prong analytical tool for framing: diagnostic framing, prognostic framing and motivational framing, this paper presents findings from the content analysis of in-depth interviews of 24 activists protesting against a highly controversial housing project in the greater Sydney metropolitan area. The research adopts a single case study approach, and is particularly significant as it investigates an extensive and on-going community-based protest campaign (dating back almost 20 years) that has generated the longest standing 24-hour community picket in Australia.

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Modelling an environmental process involves creating a model structure and parameterising the model with appropriate values to accurately represent the process. Determining accurate parameter values for environmental systems can be challenging. Existing methods for parameter estimation typically make assumptions regarding the form of the Likelihood, and will often ignore any uncertainty around estimated values. This can be problematic, however, particularly in complex problems where Likelihoods may be intractable. In this paper we demonstrate an Approximate Bayesian Computational method for the estimation of parameters of a stochastic CA. We use as an example a CA constructed to simulate a range expansion such as might occur after a biological invasion, making parameter estimates using only count data such as could be gathered from field observations. We demonstrate ABC is a highly useful method for parameter estimation, with accurate estimates of parameters that are important for the management of invasive species such as the intrinsic rate of increase and the point in a landscape where a species has invaded. We also show that the method is capable of estimating the probability of long distance dispersal, a characteristic of biological invasions that is very influential in determining spread rates but has until now proved difficult to estimate accurately.

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Government promotion of active transport has renewed interest in cycling safety. Research has shown that bicyclists are up to 20 times more likely to be involved in serious injury crashes than drivers. On-road cycling injuries are under-reported in police data, and many non-serious injuries are not recorded in any official database. This study aims to explore the relationships between rider characteristics and environmental factors that influence per kilometre risk of bicycle-related crash and non-crash injuries.

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The growing importance and need of data processing for information extraction is vital for Web databases. Due to the sheer size and volume of databases, retrieval of relevant information as needed by users has become a cumbersome process. Information seekers are faced by information overloading - too many result sets are returned for their queries. Moreover, too few or no results are returned if a specific query is asked. This paper proposes a ranking algorithm that gives higher preference to a user’s current search and also utilizes profile information in order to obtain the relevant results for a user’s query.

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Automatic species recognition plays an important role in assisting ecologists to monitor the environment. One critical issue in this research area is that software developers need prior knowledge of specific targets people are interested in to build templates for these targets. This paper proposes a novel approach for automatic species recognition based on generic knowledge about acoustic events to detect species. Acoustic component detection is the most critical and fundamental part of this proposed approach. This paper gives clear definitions of acoustic components and presents three clustering algorithms for detecting four acoustic components in sound recordings; whistles, clicks, slurs, and blocks. The experiment result demonstrates that these acoustic component recognisers have achieved high precision and recall rate.

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