963 resultados para research support, escience, e-science, e-research, eresearch, cyber-infrastructure


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Esta tese origina-se da pesquisa de doutoramento na Universidade do Estado do Rio de Janeiro UERJ - Proped e tem como objetivo compreender a formação do formador no contexto da cibercultura e como este vem estruturando sua atuação na docência universitária. Este trabalho faz parte do eixo 2 da Pesquisa Institucional A cibercultura na era das redes sociais e da mobilidade: novas potencialidades para a formação de professores. O campo da pesquisa foi a rede social Facebook. Constituíram-se praticantes da pesquisa seis professores-formadores do ProPEd e seus orientandos. A pertinência desta pesquisa inscreveu-se num amplo movimento da perspectiva epistemológica da multirreferencialidade com os cotidianos e pelo método atualizado da pesquisa-formação. A intenção primeira deste trabalho consistiu em mapear as experiências e itinerâncias do formador em suas práticas cotidianas nos espaçostempos da cibercultura. Tencionamos que a sistematização de ambiências formativas articulando o espaço da universidade e das redes sociais criou redes de docência e aprendizagem. Como dispositivos de pesquisa, lançamos mão de oficinas, interações nas redes sociais, conversas, participação nos grupos de pesquisa. A tese revela que a formação do formador na cibercultura forja outros espaçostempos de pesquisa acadêmica e de criação de dispositivos online. Revela também que os usos do digital em rede pelos praticantes da pesquisa fizeram emergir processos de orientação coletiva, de experiências formadoras e de articulação da interface cidadeuniversidade, estabelecendo outros sentidos para a prática pedagógica e para a pesquisa acadêmica

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Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.

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Cyber violence is growing; it is a global problem for governments, educational authorities, teachers, parents and children alike, the author argues. Given the insidious nature and rapid rise in cyber violence, the paucity of empirical research on cyber violence and cyber safety, it is clear that we need a concerted effort on both the policy and practical level. Most importantly, we need substantial funding to investigate what remains an under-researched area so as to inform good policy and practice. The article discusses why cyber violence is happening; what the main issues are; how to improve cyber safety; and existing safety initiatives. The author concludes that current initiatives to address cyber violence and cyber safety are well intended but we need to make a more concerted and systematic effort, based on further research, if we are to tackle the problem through policy and practice on the national and global level.

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The performance of public-private partnership (PPP) infrastructure projects is largely contingent on whether the adopted risk allocation (RA) strategy is efficient. Theoretical frameworks drawing on the transaction cost economics and the resource-based view of organizational capability are able to explain the underlying mechanism but unable to accurately forecast efficient RA strategies. In this paper, a neurofuzzy decision support system (NFDSS) was developed to assist in the RA decision-making process in PPP projects. By combining fuzzy and neural network techniques, a synthesized fuzzy inference system was established and taken as the core component of the NFDSS. Evaluation results show that the NFDSS can forecast efficient RA strategies for PPP infrastructure projects at a highly accurate and effective level. A real PPP infrastructure project is used to demonstrate the NFDSS and its practical significance.

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Due to environmental loads, mechanical damages, structural aging and human factors, civil infrastructure inevitably deteriorate during their service lives. Since their damage may claim human lives and cause significant economic losses, how to identify damages and assess structural conditions timely and accurately has drawn increasingly more attentions from structural engineering community worldwide. In this study, a fast and sensitive time domain damage identification method will be developed. To do this, a finite element model of a steel pipe laid on the soil is built and the structural responses are simulated under different damage scenarios. Based on the simulated data, an Auto Regressive Moving Average Exogenous (ARMAX) model is then built and calibrated. The calibrated ARMAX model is used to identify different damage scenarios through model updating process using clonal selection algorithm (CSA). The results demonstrate the application potential of the proposed method in identifying the pipeline conditions. To further verify its performance, laboratory tests of a steel pipe laid on the soil with and without soil support (free span damage) are carried out. The identification results of pipe-soil system show that the proposed method is capable of identifying damagein a complex structural system. Therefore, it can be applied to identifying pipeline conditions.

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The paper showcases the field- and lab-documentation system developed for Kinneret Regional Project, an international archaeological expedition to the Northwestern shore of the Sea of Galilee (Israel) under the auspices of the University of Bern, the University of Helsinki, Leiden University and Wofford College. The core of the data management system is a fully relational, server-based database framework, which also includes time-based and static GIS services, stratigraphic analysis tools and fully indexed document/digital image archives. Data collection in the field is based on mobile, hand-held devices equipped with a custom-tailored stand-alone application. Comprehensive three-dimensional documentation of all finds and findings is achieved by means of total stations and/or high-precision GPS devices. All archaeological information retrieved in the field – including tachymetric data – is synched with the core system on the fly and thus immediately available for further processing in the field lab (within the local network) or for post-excavation analysis at remote institutions (via the WWW). Besides a short demonstration of the main functionalities, the paper also presents some of the key technologies used and illustrates usability aspects of the system’s individual components.

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This paper analyses how the internal resources of small- and medium-sized enterprises determine access (learning processes) to technology centres (TCs) or industrial research institutes (innovation infrastructure) in traditional low-tech clusters. These interactions basically represent traded (market-based) transactions, which constitute important sources of knowledge in clusters. The paper addresses the role of TCs in low-tech clusters, and uses semi-structured interviews with 80 firms in a manufacturing cluster. The results point out that producer–user interactions are the most frequent; thus, the higher the sector knowledge-intensive base, the more likely the utilization of the available research infrastructure becomes. Conversely, the sectors with less knowledge-intensive structures, i.e. less absorptive capacity (AC), present weak linkages to TCs, as they frequently prefer to interact with suppliers, who act as transceivers of knowledge. Therefore, not all the firms in a cluster can fully exploit the available research infrastructure, and their AC moderates this engagement. In addition, the existence of TCs is not sufficient since the active role of a firm's search strategies to undertake interactions and conduct openness to available sources of knowledge is also needed. The study has implications for policymakers and academia.

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We find that the formation of MWC 656 (the first Be binary containing a black hole) involves a common envelope phase and a supernova explosion. This result supports the idea that a rapidly rotating Be star can emerge out of a common envelope phase, which is very intriguing because this evolutionary stage is thought to be too fast to lead to significant accretion and spin up of the B star. We predict ∼10–100 of B-BH binaries to currently reside in the Galactic disc, among which around 1/3 contain a Be star, but there is only a small chance to observe a system with parameters resembling MWC 656. If MWC 656 is representative of intrinsic Galactic Be-BH binary population, it may indicate that standard evolutionary theory needs to be revised. This would pose another evolutionary problem in understanding black hole (BH) binaries, with BH X-ray novae formation issue being the prime example. Future evolution of MWC 656 with an ∼5 M⊙ BH and with an ∼13 M⊙ main-sequence companion on an ∼60 d orbit may lead to the formation of a coalescing BH–NS (neutron star) system. The estimated Advanced LIGO/Virgo detection rate of such systems is up to ∼0.2 yr−1. This empirical estimate is a lower limit as it is obtained with only one particular evolutionary scenario, the MWC 656 binary. This is only a third such estimate available (after Cyg X-1 and Cyg X-3), and it lends additional support to the existence of so far undetected BH–NS binaries.

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Mode of access: Internet.

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Multiplication and comultiplication of beliefs represent a generalisation of multiplication and comultiplication of probabilities as well as of binary logic AND and OR. Our approach follows that of subjective logic, where belief functions are expressed as opinions that are interpreted as being equivalent to beta probability distributions. We compare different types of opinion product and coproduct, and show that they represent very good approximations of the analytical product and coproduct of beta probability distributions. We also define division and codivision of opinions, and compare our framework with other logic frameworks for combining uncertain propositions. (C) 2004 Elsevier Inc. All rights reserved.

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Despite significant concern among policy, law enforcement and intelligence communities in the United States (U.S.) over the possible spread of radical Islamist thought throughout the world as part of a global jihad movement, there has been little investigation into the growing cyber networks in Latin America that promote strong anti-Semitic and anti-U.S. messages. This paper offers an overview of that network, focusing on the structure of Shi’ite websites that promote not only religious conversion but are also supportive of Iran -- a designated State-sponsor of terrorism – its nuclear program. Hezbollah, and the “Bolivarian revolution” led by Venezuelan President Hugo Chávez and his allies in Bolivia, Ecuador and Nicaragua. There is also a smaller group of Sunni Muslim websites, mostly tied to the legacy organizations of the Muslim Brotherhood. Many of the Shi’ite websites are linked to each other consistently portray Israel as a Nazi State, and the United States as an imperialist war monger. The Palestinian issue is frequently juxtaposed with the anti-imperialist struggle that those states supporting Chávez’ Bolivarian revolution claim to wage against the United States. Some of the Islamist websites claim thousands of new convert, but such claims are difficult to verify. Most of the websites visited touted the conversion of one or two individuals as significant victories and signs of progress, implying that there are few, if any, mass conversions. While conducting this research, no websites directly claiming to be linked to Hezbollah were found, although there numerous sites hosted by that group that were active until around 2006. Several of the inactive links are supportive of Hezbollah as a political party. No websites linked to al Qaeda were found. Yet a substantial Internet network remains operational. Much of the outreach for Shi’ite Muslims, closely tied to Iran, is sponsored on numerous websites across the region, including El Salvador, Chile, Ecuador, Colombia, Mexico and Bolivia. Numerous Facebook forums for discussion are also hosted around Latin America. These links must be viewed in the context of the rapidly expanding diplomatic, intelligence, political and economic ties of Iran in recent years with the self-proclaimed Bolivarian states. Given the sparse literature available and the rich vein of un-mined information on the sites cited as well as others that one could find with additional research, the cyber network of Islamist groups remains one of the least understood or studied facets of their presence in Latin America and the Caribbean. It merits significantly more investigation.

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Variable Speed Limit (VSL) strategies identify and disseminate dynamic speed limits that are determined to be appropriate based on prevailing traffic conditions, road surface conditions, and weather conditions. This dissertation develops and evaluates a shockwave-based VSL system that uses a heuristic switching logic-based controller with specified thresholds of prevailing traffic flow conditions. The system aims to improve operations and mobility at critical bottlenecks. Before traffic breakdown occurrence, the proposed VSL’s goal is to prevent or postpone breakdown by decreasing the inflow and achieving uniform distribution in speed and flow. After breakdown occurrence, the VSL system aims to dampen traffic congestion by reducing the inflow traffic to the congested area and increasing the bottleneck capacity by deactivating the VSL at the head of the congested area. The shockwave-based VSL system pushes the VSL location upstream as the congested area propagates upstream. In addition to testing the system using infrastructure detector-based data, this dissertation investigates the use of Connected Vehicle trajectory data as input to the shockwave-based VSL system performance. Since the field Connected Vehicle data are not available, as part of this research, Vehicle-to-Infrastructure communication is modeled in the microscopic simulation to obtain individual vehicle trajectories. In this system, wavelet transform is used to analyze aggregated individual vehicles’ speed data to determine the locations of congestion. The currently recommended calibration procedures of simulation models are generally based on the capacity, volume and system-performance values and do not specifically examine traffic breakdown characteristics. However, since the proposed VSL strategies are countermeasures to the impacts of breakdown conditions, considering breakdown characteristics in the calibration procedure is important to have a reliable assessment. Several enhancements were proposed in this study to account for the breakdown characteristics at bottleneck locations in the calibration process. In this dissertation, performance of shockwave-based VSL is compared to VSL systems with different fixed VSL message sign locations utilizing the calibrated microscopic model. The results show that shockwave-based VSL outperforms fixed-location VSL systems, and it can considerably decrease the maximum back of queue and duration of breakdown while increasing the average speed during breakdown.