57 resultados para MONOLAYER COVERAGE


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Remote sensing is a useful tool for detecting change over time.We introduce a hybrid change-detection method for forest and protected-area vegetation and demonstrate its use with two satellite images of Golestan National Park in northern Iran (1998 and 2010). We report on the advantages and disadvantages of the hybrid method relative to the standard change-detection method. In the proposed hybrid algorithm, the change vector analysis technique was used to determine changes in vegetation. Following this, we used postclassification comparison to determine the nature of the changes observed and their accuracy and to evaluate the effects of different parameters on the performance of the proposed method. We determined 85% accuracy for the proposed hybrid change-detection method, thus demonstrating a method for discovering and assessing environmental threats to natural treasures. © 2014 Society of Photo-Optical Instrumentation Engineers.

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 Although the number and extent of protected areas (PAs) are continuously increasing, their coverage of global biodiversity, as well as criteria and targets that underline their selection, warrants scrutiny. As a case study, we use a global dataset of sea turtle nesting sites (. n=. 2991) to determine the extent to which the existing global PA network encompasses nesting habitats (beaches) that are vital for the persistence of the seven sea turtle species. The majority of nesting sites (87%) are in the tropics, and are mainly hosted by developing countries. Developing countries contain 82% nesting sites, which provide lower protection coverage compared to developed countries. PAs encompass 25% of all nesting sites, of which 78% are in marine PAs. At present, most nesting sites in PAs with IUCN ratification receive high protection. We identified the countries that provide the highest and lowest nesting site protection coverage, and detected gaps in species-level protection effort within countries. No clear trend in protection coverage was found in relation to gross domestic product, the Global Peace Index or sea turtle regional management units; however, countries in crisis (civil unrest, war or natural catastrophes) provided slightly higher protection coverage of all countries. We conclude that global sea turtle resilience against threats spanning temperate to tropical regions require representative PA coverage at the species level within countries. This work is anticipated to function as a first step towards identifying specific countries or regions that should receive higher conservation interest by national and international bodies. © 2014 Elsevier Ltd.

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The influence of graphene on the electrical communication through organic layers fabricated on graphite and gold electrodes is investigated. These layers were prepared by in situ reductive adsorption of 4-aminobenzoic acid in the presence of NaNO2 and HCl to have surface bound carboxylic acid functionalities, followed by covalent attachment of 1-aminopyrene via an amide coupling reaction to have surface bound pyrene groups for graphene immobilization via noncovalent π-π stacking interaction. The coverage of the layers created via reductive adsorption on graphite electrodes was found to be much higher than that on gold electrodes. It was revealed that graphene significantly enhances the electrical communication through the layers on graphite electrodes but on gold electrodes the enhancement effect through the layers was only minor. However, when gold electrodes were modified with a self-assembled monolayer (SAM) of propanethiol the subsequent immobilization of graphene resulted in a significant enhancement of the electrical communication. It is also found that immobilization of graphene could affect the electron transfer between the redox probe, pyrene and the underlying electrodes. Atomic force microscopy (AFM) and scanning electron microscopy (SEM) were used to characterize the graphene sheets. Cyclic voltammetry, electrochemical impedance spectroscopy (EIS), and X-ray photoelectron spectroscopy (XPS) were also used to characterize the stepwise modified electrodes. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Existing solutions to carrier-based sensor placement by a single robot in a bounded unknown Region of Interest (ROI) do not guarantee full area coverage or termination. We propose a novel localized algorithm, named Back-Tracking Deployment (BTD). To construct a full coverage solution over the ROI, mobile robots (carriers) carry static sensors as payloads and drop them at the visited empty vertices of a virtual square, triangular, or hexagonal grid. A single robot will move in a predefined order of directional preference until a dead end is reached. Then it back-tracks to the nearest sensor adjacent to an empty vertex (an "entrance" to an unexplored/uncovered area) and resumes regular forward movement and sensor dropping from there. To save movement steps, the back-tracking is carried out along a locally identified shortcut. We extend the algorithm to support multiple robots that move independently and asynchronously. Once a robot reaches a dead end, it will back-track, giving preference to its own path. Otherwise, it will take over the back-track path of another robot by consulting with neighboring sensors. We prove that BTD terminates within finite time and produces full coverage when no (sensor or robot) failures occur. We also describe an approach to tolerate failures and an approach to balance workload among robots. We then evaluate BTD in comparison with the only competing algorithms SLD [Chang et al. 2009a] and LRV [Batalin and Sukhatme 2004] through simulation. In a specific failure-free scenario, SLD covers only 40-50% of the ROI, whereas BTD covers it in full. BTD involves significantly (80%) less robot moves and messages than LRV.

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The news media plays an important role in making visible and shaping public understandings of health and health risks. In relation to overweight and obesity, it has been suggested that the media is more likely to engage in alarmist reporting in a climate in which it is taken for granted that obesity is an 'epidemic'. This study analyses Australian media coverage of a report on overweight and obesity, Australia's Future 'Fat Bomb': a report on the long-term consequences of Australia's expanding waistline on cardiovascular disease, by one of Australia's leading health and medical research institutes. Our study found that the report was consistently framed across media outlets as showing that Australia is the 'fattest nation' in the world, having overtaken the Americans. This is despite the fact that the Fat Bomb study did not include international comparisons and was based only on data from middle-aged Australians. Because reports of increasing rates of obesity had already been widely covered in the media, the press needed to find a new way of signifying the problem, which was provided by comments made by its lead author in publicising the report. Consistent with previous research, there was a notable absence of critical commentary on the study and a failure to test the claims of its lead author. We conclude that this reporting could have contributed to a policy environment in which the perceived threat of obesity is deemed to be so great that efforts to contain it may be subjected to less scrutiny than they warrant. © 2011 Taylor & Francis.

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In this paper, we propose an algorihm for conneced p-percent coverage probem in Wireless Sensor Networks(WSNs) to improve the over netork life time. In this work, we invstigae the p-pernt coverage problem(PCP) in WSNs which require % of n area should be monitored correctl and to find ou ny additional requirements of the connec p-percent coverge prom. We prose pDCDS algorith which is a learnin autmaton basd algorithm fr PCP pDCDS is a Degreconsained Connected Domining Se based algoithm whch detect the minimum numbe of des to monitor an area. The simulation results demonstrate hat pDCDS can remarkably improve the network lifetime.

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Maximum target coverage with minimum number of sensor nodes, known as an MCMS problem, is an important problem in directional sensor networks (DSNs). For guaranteed coverage and event reporting, the underlying mechanism must ensure that all targets are covered by the sensors and the resulting network is connected. Existing solutions allow individual sensor nodes to determine the sensing direction for maximum target coverage which produces sensing coverage redundancy and much overhead. Gathering nodes into clusters might provide a better solution to this problem. In this paper, we have designed distributed clustering and target coverage algorithms to address the problem in an energy-efficient way. To the best of our knowledge, this is the first work that exploits cluster heads to determine the active sensing nodes and their directions for solving target coverage problems in DSNs. Our extensive simulation study shows that our system outperforms a number of state-of-the-art approaches.

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Service oriented architecture has been proposed to support collaborations among distributed wireless sensor network (WSN) applications in an open dynamic environment. However, WSNs are resource constraint, and have limited computation abilities, limited communication bandwidth and especially limited energy. Fortunately, sensor nodes in WSNs are usually deployed redundantly, which brings the opportunity to adopt a sleep schedule for balanced energy consumption to extend the network lifetime. Due to miniaturization and energy efficiency, one sensor node can integrate several sense units and support a variety of services. Traditional sleep schedule considers only the constraints from the sensor nodes, can be categorized to a one-layer (i.e., node layer) issue. The service oriented WSNs should resolve the energy optimization issue considering the two-layer constraints, i.e., the sensor nodes layer and service layer. Then, the one-layer energy optimization scheme in previous work is not applicable for service oriented WSNs. Hence, in this paper we propose a sleep schedule with a service coverage guarantee in WSNs. Firstly, by considering the redundancy degree on both the service level and the node level, we can get an accurate redundancy degree of one sensor node. Then, we can adopt fuzzy logic to integrate the redundancy degree, reliability and energy to get a sleep factor. Based on the sleep factor, we furthermore propose the sleep mechanism. The case study and simulation evaluations illustrate the capability of our proposed approach.

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This study examines intermolecular interactions of a monolayer of octadecanol (CH(3)(CH(2))(17)OH) on water as a function of surface density and temperature, using classical molecular dynamics simulations. We observe increased interaction between the alkyl chains (van der Waals) and hydroxyl groups (H-bonding) with increased surface density, which leads to increased order and packing within the monolayer. We also identified clear trends in the intermolecular interactions, ordering and packing of the monolayer molecules as a function of temperature. The observed trends can be closely related to features of the current empirical theories of evaporation resistance.

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Molecular monolayers reduce the amount of water lost to evaporation due to their ability to form closely packed films at the air-water interface. However, they are susceptible to loss from the water surface and poor performance on exposure to wind. This study combines experimental and theoretical techniques to investigate the properties of a small molecule monolayer mixed with comb polymers. The study reveals that at high concentrations of polymer the monolayer exhibits increased mechanical stability which improves the resistance to disruption by wind. Inclusion of hydrophilic functional groups along the backbone of the polymer leads to further improvements in wind stability. However, the improved wind stability observed in the composites comes at the expense of poorer water evaporation resistance.

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Due to long-term drought conditions coupled with the apparent influence of global warming, compounding water loss has been a very serious issue across the vast majority of the Australian continent. During these drought conditions, the evaporative effect outweighs the amount of precipitation being received on a year to year basis. Several methods have been introduced in recent history to inhibit the amount of evaporative loss from various types of water bodies such as the application of thin layer chemical films (monolayers). A series of solvent, solid and suspension derived prototype monolayers, based on ethylene glycol monooctadecyl ether (C18E1), are examined in this current study as an approach to eliminate the problems seen to occur with the previous types of monolayers. This research evaluates the fundamental effect of wind and wave based activity upon these prototype monolayers in an atmospherically controlled enclosure positioned over a large extended water tank using real-time environmental measurements. Selected performance results for the prototype monolayers as measured within the enclosed water tank were compared to results measured from a control monolayer film based on a commonly used octadecanol suspension film. The results show that under varying wind and wave conditions the prototype monolayers inhibit evaporation at a level similar to or better than the octadecanol standard, even when delivered at lower raw dosages.

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We provide evidence that analyst coverage affects security issuance. First, firms covered by fewer analysts are less likely to issue equity as opposed to debt. They issue equity less frequently, but when they do so, it is in larger amounts. Moreover, these firms depend more on favorable market conditions for their equity issuance decisions. Finally, debt ratios of less covered firms are more affected by Baker and Wurgler’s(2002) “external finance-weighted” average market-to-book ratio. These results are consistent with market timing behavior associated with information asymmetry, as well as behavior implied by dynamic adverse selection models of equity issuance.