304,936 research outputs found

    Green compressive sampling reconstruction in IoT networks

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    In this paper, we address the problem of green Compressed Sensing (CS) reconstruction within Internet of Things (IoT) networks, both in terms of computing architecture and reconstruction algorithms. The approach is novel since, unlike most of the literature dealing with energy efficient gathering of the CS measurements, we focus on the energy efficiency of the signal reconstruction stage given the CS measurements. As a first novel contribution, we present an analysis of the energy consumption within the IoT network under two computing architectures. In the first one, reconstruction takes place within the IoT network and the reconstructed data are encoded and transmitted out of the IoT network; in the second one, all the CS measurements are forwarded to off-network devices for reconstruction and storage, i.e., reconstruction is off-loaded. Our analysis shows that the two architectures significantly differ in terms of consumed energy, and it outlines a theoretically motivated criterion to select a green CS reconstruction computing architecture. Specifically, we present a suitable decision function to determine which architecture outperforms the other in terms of energy efficiency. The presented decision function depends on a few IoT network features, such as the network size, the sink connectivity, and other systems’ parameters. As a second novel contribution, we show how to overcome classical performance comparison of different CS reconstruction algorithms usually carried out w.r.t. the achieved accuracy. Specifically, we consider the consumed energy and analyze the energy vs. accuracy trade-off. The herein presented approach, jointly considering signal processing and IoT network issues, is a relevant contribution for designing green compressive sampling architectures in IoT networks

    Compressive Hyperspectral Imaging Using Progressive Total Variation

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    Compressed Sensing (CS) is suitable for remote acquisition of hyperspectral images for earth observation, since it could exploit the strong spatial and spectral correlations, llowing to simplify the architecture of the onboard sensors. Solutions proposed so far tend to decouple spatial and spectral dimensions to reduce the complexity of the reconstruction, not taking into account that onboard sensors progressively acquire spectral rows rather than acquiring spectral channels. For this reason, we propose a novel progressive CS architecture based on separate sensing of spectral rows and joint reconstruction employing Total Variation. Experimental results run on raw AVIRIS and AIRS images confirm the validity of the proposed system.Comment: To be published on ICASSP 2014 proceeding

    Chromatin Architecture Reconstruction

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    Assessing and valorizing the values of Belgian reconstruction cityscapes today : revisiting Labo S’s engagement with Ypres and Heuvelland

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    Readily dismissed as inauthentic vieux-neuf, the centrally orchestrated architectural production during the Belgian reconstruction campaigns after the Great War faced a rather cold architecture historical reception in Belgium. The reconstruction of individual monuments and entire towns, villages and landscapes was often only discussed in historical overviews as what came in lieu of a modernist alternative that had missed its appointment with history. This negative appraisal in architectural histories was however but one of the factors that complicated the possible recognition of this varied yet unified architectural and urban production as valuable heritage. Mid 1980s, the Resurgam research, exhibition and publication project directed by Marcel Smets meant however a first turning point. Twenty years later, also local planners and cultural policy makers from the former war front area in West Flanders initiated a second phase of engagement with the reconstruction heritage, now from a more contemporary perspective. In this context, the Labo S research group within the Department of Architecture and Urban Planning at Ghent University was asked to advise local authorities on how to assess and valorize the various aspects of reconstruction heritage in Ypres and Heuvelland, but also to suggest possible approaches to give contemporary developments a place in the still largely extant reconstruction landscape. This paper presents the conceptual approach Labo S took, combining a value analytical approach with morphological close readings. It also makes an evaluation of how this impulse and initiatives by other actors subsequently played out on the ground, in recent planning and preservation management, and in architectural projects
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