40 resultados para Global Positioning System.


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Climate change poses a major threat to heritage of all kinds. Yet much of the work so far on climate change and heritage replicates aspects of the global heritage system, tending to emphasise a European perspective and focusing on the preservation of tangible heritage. We call for a broader understanding of climate change, particularly as it affects heritage in the developing world, especially that of indigenous peoples and small Island states. This is also a call for political engagement by heritage practitioners. We argue that in the struggle against climate change heritage practitioners can make a worthwhile contribution by arguing for a de-commodified form of heritage practice emphasizing the involvement of local communities and recognition of their cultural resources; that resists being coopted into economic growth strategies unless they supplant other forms of unsustainable development; that focuses on heritage as an alternative way of viewing resources and their use.

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1. Determining global position by light measurements (‘geolocation’) has revolutionised the methods used to track migratory birds throughout their annual cycle.2. To date, there is no standard way of analysing geolocator data, making communication of analyses cumbersome and hampering the reproducibility of results.3. We have, therefore, developed the R package GeoLight, which provides basic functions for all steps of determining global positioning and a new approach in analysing movement pattern.4. Here, we briefly introduce and discuss the major functions of this package using example movement data of European hoopoe (Upupa epops).

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This study presents an analysis of the application of underwater video data collected for training and validating benthic habitat distribution models. Specifically, we quantify the two major sources of error pertaining to collection of this type of reference data. A theoretical spatial error budget is developed for a positioning system used to co-register video frames to their corresponding locations at the seafloor. Second, we compare interpretation variability among trained operators assessing the same video frames between times over three hierarchical levels of a benthic classification scheme. Propagated error in the positioning system described was found to be highly correlated with depth of operation and varies from 1.5m near the surface to 5.7m in 100m of water. In order of decreasing classification hierarchy, mean overall observer agreement was found to be 98% (range 6%), 82% (range 12%) and 75% (range 17%) for the 2, 4, and 6 class levels of the scheme, respectively. Patterns in between-observer variation are related to the level of detail imposed by each hierarchical level of the classification scheme, the feature of interest, and to the amount of observer experience. © 2014 Copyright © Taylor & Francis Group, LLC.

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 Microsoft Kinect sensor was introduced with the XBOX gaming console. It features a simple and portable motion capturing system. Kinect nowadays presents a point of interest in many fields of study and areas of research where its affordable price compared to its capabilities. The Kinect sensor has the capability to capture and track detected 3D objects with accuracy comparable to that captured by state of the art commercial systems. Human safety is considered one of the highest concerns, specially nowadays where the existence of machines and robots is widely used. In this paper we present using the Kinect technology for enhancing the safety of equipment and operations in seven different applications. These applications include 1) positioning of child’s car seat to optimise the child’s position in respected to front and side air-bags; 2) board positioning system to improve the teacher’s arm reach posture; 3) gas station safety to prevent children from accessing the gas pump; 4) indoor pool safety to avoid children access to deep pool area; 5) robot safety emergency stop; 6) Workplace safety; and 7) older adults fall prediction.

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Australian nurses prepare for specialty practice by undertaking postgraduate theoretical and clinical education in partnership models between universities and hospitals. In our global healthcare system, nurses require advanced critical thinking and strong communication skills to provide safe, high quality patient care. Yet, few education programs focus on developing these skills. Team-Based Learning (TBL) is a specific educational strategy that encourages and rewards students to think critically and solve clinical problems individually and in teams. The aim of this study was to investigate critical care nursing students' perceptions and experiences of TBL after it was introduced into the second half of their postgraduate specialty course. Following Ethics Committee approval, thirty-two students were invited to participate in an extended response questionnaire on their perceptions of TBL as part of a larger study. Data were analyzed thematically. Postgraduate students perceived their professional growth was accelerated due to the skills and knowledge acquired through TBL. Four themes underpinned the development and accelerated acquisition of specialty nurse attributes due to TBL: Engagement, Learning Effectiveness, Critical Thinking, and Motivation to Participate. Team-Based Learning offered deep and satisfying learning experiences for students. The early acquisition of advanced critical thinking, teamwork and communication skills, and specialty practice knowledge empowered nurses to provide safe patient care with confidence.

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In order to alleviate the traffic congestion and reduce the complexity of traffic control and management, it is necessary to exploit traffic sub-areas division which should be effective in planing traffic. Some researchers applied the K-Means algorithm to divide traffic sub-areas on the taxi trajectories. However, the traditional K-Means algorithms faced difficulties in processing large-scale Global Position System(GPS) trajectories of taxicabs with the restrictions of memory, I/O, computing performance. This paper proposes a Parallel Traffic Sub-Areas Division(PTSD) method which consists of two stages, on the basis of the Parallel K-Means(PKM) algorithm. During the first stage, we develop a process to cluster traffic sub-areas based on the PKM algorithm. Then, the second stage, we identify boundary of traffic sub-areas on the base of cluster result. According to this method, we divide traffic sub-areas of Beijing on the real-word (GPS) trajectories of taxicabs. The experiment and discussion show that the method is effective in dividing traffic sub-areas.

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In order to schedule parallel processes on available computers there is a need to collect information about different cluster resources. Currently, global scheduling of parallel processes of applications takes into consideration mainly processor load and only in a small number of projects memory utilization. Communication costs, which are high in clusters, are practically neglected. The aim of this paper is to report on our study into cluster parameter measurements, in particular those, which characterize communication costs, the development of the resource discovery server and its initial testing through the study of the influence of communication costs on parallel application performance.

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Australian Museums Online (AMOL) was the earliest attempt to make Australia’s distributed cultural collections accessible from a single online resource. Despite early successes, significant achievements and the considerable value it offered certain groups, the project ran into operational difficulties and was eventually discontinued. By using Actor-Network Theory and analysing the global and local actor-networks, it is revealed that although the project originated from large, state museums, buy-in was restricted to individuals, rather than institutions and the most significant value was for smaller, regional institutions. Furthermore, although the global networks that governed the project could translate their visions through the local production networks, because the network’s underlying weaknesses were never addressed, over time this destablised the global networks. This case study offers advice for projects attempting to consolidate data sources from disparate sources, and highlights the importance of individual actors in championing the project.

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In recent times, many key host nations have made it easier for foreign graduates to migrate after graduation. These students are often considered ideal migrants, possessing local qualifications along with a degree of acculturation, language skills and, in many cases, relevant local work experience. For the student, the opportunity to obtain international work experience adds to the appeal of the overseas study experience and enhances the graduate skills necessary to compete in the global labour market. This paper examines recent changes to migration policy in Australia affecting the post-study work entitlements of international students studying at Australian universities and explores the underlying rationale and consequences of the recent changes in policy direction. An examination of migration policies in the United States, United Kingdom, New Zealand and Canada indicates that recent changes to skilled migration policy in Australia, along with bleak economic conditions in a number of key host countries, has opened up opportunities for Australia to re-position itself favourably.