997 resultados para Architecture, Italian.
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In this paper, we present a novel discrete cosine transform (DCT) architecture that allows aggressive voltage scaling for low-power dissipation, even under process parameter variations with minimal overhead as opposed to existing techniques. Under a scaled supply voltage and/or variations in process parameters, any possible delay errors appear only from the long paths that are designed to be less contributive to output quality. The proposed architecture allows a graceful degradation in the peak SNR (PSNR) under aggressive voltage scaling as well as extreme process variations. Results show that even under large process variations (±3σ around mean threshold voltage) and aggressive supply voltage scaling (at 0.88 V, while the nominal voltage is 1.2 V for a 90-nm technology), there is a gradual degradation of image quality with considerable power savings (71% at PSNR of 23.4 dB) for the proposed architecture, when compared to existing implementations in a 90-nm process technology. © 2006 IEEE.
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In this paper, we present a unified approach to an energy-efficient variation-tolerant design of Discrete Wavelet Transform (DWT) in the context of image processing applications. It is to be noted that it is not necessary to produce exactly correct numerical outputs in most image processing applications. We exploit this important feature and propose a design methodology for DWT which shows energy quality tradeoffs at each level of design hierarchy starting from the algorithm level down to the architecture and circuit levels by taking advantage of the limited perceptual ability of the Human Visual System. A unique feature of this design methodology is that it guarantees robustness under process variability and facilitates aggressive voltage over-scaling. Simulation results show significant energy savings (74% - 83%) with minor degradations in output image quality and avert catastrophic failures under process variations compared to a conventional design. © 2010 IEEE.
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2-D Discrete Cosine Transform (DCT) is widely used as the core of digital image and video compression. In this paper, we present a novel DCT architecture that allows aggressive voltage scaling by exploiting the fact that not all intermediate computations are equally important in a DCT system to obtain "good" image quality with Peak Signal to Noise Ratio(PSNR) > 30 dB. This observation has led us to propose a DCT architecture where the signal paths that are less contributive to PSNR improvement are designed to be longer than the paths that are more contributive to PSNR improvement. It should also be noted that robustness with respect to parameter variations and low power operation typically impose contradictory requirements in terms of architecture design. However, the proposed architecture lends itself to aggressive voltage scaling for low-power dissipation even under process parameter variations. Under a scaled supply voltage and/or variations in process parameters, any possible delay errors would only appear from the long paths that are less contributive towards PSNR improvement, providing large improvement in power dissipation with small PSNR degradation. Results show that even under large process variation and supply voltage scaling (0.8V), there is a gradual degradation of image quality with considerable power savings (62.8%) for the proposed architecture when compared to existing implementations in 70 nm process technology.
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We examine the effect of energy efficiency incentives on household energy efficiency home improvements. Starting in February 2007, Italian homeowners have been able to avail themselves of tax credits on the purchase and installation costs of certain types of energy efficiency renovations. We examine two such renovations—door/window replacements and heating system replacements—using multi-year cross-section data from the Italian Consumer Expenditure Survey and focusing on a narrow period around the introduction of the tax credits. Our regressions control for dwelling and household characteristics and economy-wide factors likely to influence the replacement rates. The effects of the policy are different for the two types of renovations. With window replacements, the policy is generally associated with a 30 % or stronger increase in the renovation rates and number of renovations. In the simplest econometric models, the effect is not statistically significant, but the results get stronger when we allow for heterogeneous effects across the country. With heating system replacements, simpler models suggest that the tax credits policy had no effect whatsoever or that free riding was rampant, i.e., people are now accepting subsidies for replacements that they would have done anyway. Further examination suggests a strong degree of heterogeneity in the effects across warmer and colder parts of the country, and effects in the colder areas that are even more pronounced than those for window replacements. These results should, however, be interpreted with caution due to the low rates of renovations, which imply that the effects are estimated relatively imprecisely.
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This booklet covers the itinerary and some of the findings of a day-long visit to Belfast on the 7th November 2014 by Peter Oborn; Vice President International of the Royal Institute of British Architects. His visit was in response to a motion submitted to the RIBA council (19.05.2014) calling for the suspension of the Israeli Association of United Architects from the International Union of Architects. Despite members of council speaking against the motion it was carried; 23 members voting for, 16 against, and 10 abstentions. Subsequently the RIBA came under considerable pressure to consider its position in such critical contexts. This visit to Belfast was part of a wider fact-finding mission and evidence taking. At its heart was the question: 'Is it appropriate for the institute (RIBA) to engage with communities facing civil conflict and/or natural disaster and, if so, how it can do so most effectively.' The visit was facilitated by Ruth Morrow, Professor of Architecture, School of Planning, Architecture & Civil Engineering, Queen's University Belfast, and Martin Hare, Royal Society of Ulster Architects (RSUA) president.
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In the deglacial sequence of the largest end moraine system of the Italian Alps, we focused on the latest culmination of the Last Glacial Maximum, before a sudden downwasting of the piedmontane lobe occupying the modern lake basin. We obtained a robust chronology for this culmination and for the subsequent deglacial history by cross-radiocarbon dating of a proximal fluvioglacial plain and of a deglacial continuous lake sedimentation. We used reworked dinocysts to locate sources of glacial abrasion and to mark the input of glacial meltwater until depletion. The palynological record from postglacial lake sediments provided the first vegetation chronosequence directly reacting to the early Lateglacial withdrawal so far documented in the Alps.
Glacier collapse occurred soon after 17.46 +/- 0.2 ka cal BP, which is, the Manerba advance culmination. Basin deglaciation of several overdeepened foreland piedmont lakes on southern and northern sides of the Alps appears to be synchronous at millennial scale and near-synchronous with large-scale glacial retreat at global scale. The pioneering succession shows a first afforestation step at a median modeled age of 64 years after deglaciation, while rapid tree growth lagged 7 centuries. Between 16.4 +/- 0.16 and 15.5 +/- 0.16 ka cal BP, a regressive phase interrupted forest growth marking a Lateglacial phase of continental-dry climate predating GI-1. This event, spanning the most advanced phases of North-Atlantic H1, is consistently radiocarbon-framed at three deglacial lake records so far investigated on the Italian side of the Alps. Relationships with the Gschnitz stadial from the Alpine record of Lateglacial advances are discussed
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Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated 1/42,000, 1/43,700 and 1/49,500 SNPs explained 1/421%, 1/424% and 1/429% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/I 2-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
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‘A free Ireland would drain the bogs, would harness the rivers, would plant the wastes, would nationalise the railways and the waterways, would improve agriculture, would protect fisheries, would foster industries, would promote commerce, and beautify the cities …’ (Padraig Pearse, ‘From a Hermitage’, 1913)
Somewhat unusually in his often romantic writings Padraig Pearse – poet, pedagogue and revolutionary – chose to describe the future of an independent Ireland in terms of infrastructure and technological processes. Terence Brown’s locating of this excerpt at the beginning his seminal work Ireland: A Social and Cultural History 1922-2002 highlights the simultaneous and interlinking construction of both a new physical and cultural landscape for an independent modern nation. Lacking any significant industrial complex, the construction of new infrastructures in Ireland was seen throughout the 20th century as a key element in the building of the new State, just as the adoption of an international style modernism in architecture was perceived as a way to escape the colonial past. For Paul N. Edwards modernity and infrastructure are intimately connected.
‘infrastructures simultaneously shape and are shaped – in other words, co-construct – the condition of modernity. By linking macro, meso, and micro scales of time, space and social organisation, they form the stable foundation of modern social worlds’ (2003: 186).
Simultaneously omnipresent and invisible – infra means beneath – Edwards also points out that infrastructure tends only to become apparent when it is either new or broken. Interpreting the meso scale as being that of the building, this session calls for papers that critically and analytically investigate aspects of the architectures of infrastructure in 20th-century Ireland. Like the territory they explore these papers may range across scales to oscillate between a concern for the artefact and its physical landscape, and the larger, often hidden systems and networks that co-define this architecture.
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FOLLY brings together Irish and international contemporary artists whose work has been inspired by iconic buildings of architectural modernism. From Eileen Gray’s seminal E1027 to Mies Van der Rohe’s restored Farnsworth House, Paul Rudolph’s demolished residences to Walter Gropius’s imagined Chicago Tribune Tower, the buildings referenced in FOLLY have had a mixed collection of fates.
Their presence in this exhibition affords them another afterlife. The qualities that make the architecture significant are played-with, exposed, re-canonised, made ambiguous, and eulogised. By creating fictional moments, questioning conventional documentation or excavating troubled histories of production, each artist invites you to think about how we experience and understand architecture today.
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In this paper, we present a hybrid BDI-PGM framework, in which PGMs (Probabilistic Graphical Models) are incorporated into a BDI (belief-desire-intention) architecture. This work is motivated by the need to address the scalability and noisy sensing issues in SCADA (Supervisory Control And Data Acquisition) systems. Our approach uses the incorporated PGMs to model the uncertainty reasoning and decision making processes of agents situated in a stochastic environment. In particular, we use Bayesian networks to reason about an agent’s beliefs about the environment based on its sensory observations, and select optimal plans according to the utilities of actions defined in influence diagrams. This approach takes the advantage of the scalability of the BDI architecture and the uncertainty reasoning capability of PGMs. We present a prototype of the proposed approach using a transit scenario to validate its effectiveness.
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This paper presents a multi-agent system approach to address the difficulties encountered in traditional SCADA systems deployed in critical environments such as electrical power generation, transmission and distribution. The approach models uncertainty and combines multiple sources of uncertain information to deliver robust plan selection. We examine the approach in the context of a simplified power supply/demand scenario using a residential grid connected solar system and consider the challenges of modelling and reasoning with
uncertain sensor information in this environment. We discuss examples of plans and actions required for sensing, establish and discuss the effect of uncertainty on such systems and investigate different uncertainty theories and how they can fuse uncertain information from multiple sources for effective decision making in
such a complex system.