Artículos de conferencia

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Browsing Artículos de conferencia by browse.metadata.fuente "Scopus"

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    Collaborative health resources management model
    (IEOM Society, 2021) Gutierrez, Janus, Amaru Leonhardt; Tabilo, Macarena Paz Navarro; Klapp Belmar Mathias Alberto
    © IEOM Society Inweternational.In Chile, rural population faces long access times to specialized health services, as these tend to be concentrated in regional capitals. Against this background, the present study proposes the establishment of a Collaborative Health Resources Management Model, based on the practice of sharing hospital resources between medical centers, allowing daily transfers of doctors and medical equipment within a hospital network. The objective is to meet local demand and increase rural accessibility to healthcare, in terms of reducing patient transfers between hospitals and access times. To compare the current and proposed scenarios, an Integer Optimization Model with a Network Structure is formulated. The case study is focused on urology specialty in Zona del Reloncaví, a rural area located in southern Chile, on which it is concluded that allowing the mobility of hospital resources, specifically doctors and equipment, is optimal, as the average number of patient transfers and the average access time are reduced by 95.6% and 83%, respectively. By applying this model, hospitals are able to stretch their limited capital budgets by jointly purchasing equipment, providing network-wide access to resources needed for expanding healthcare accessibility.
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    Comparative Evaluation of Partially-Rated Energy Storage Integration Topologies for High Voltage Modular Multilevel Converters
    (Institute of Electrical and Electronics Engineers Inc., 2022) Blatsi, Zoe; Neira, Sebastián; Finney, Stephen; Merlin, Michael M. C.
    © 2022 EPE Association.This paper compares three partially-rated MMC topologies (Partially Rated Storage - PRS, Stack Parallel Branch - SPB, Inductor Parallel Branch - IPB) which integrate energy storage solutions for HVDC-scale Modular Multilevel Converters to provide with extra degrees of flexibility in the grid. The paper compares (i) the ES power that can be contributed from each topology under a given converter design and (ii) the trade-offs in terms of losses, and control adaptation required on top of a standard half-bridge MMC design in order to provide ES power. The results indicate that MMC stacks with full-bridge submodules have consistently higher ES power capability than their half-bridge counterparts - this comes at the expense of higher losses and extra devices, which for certain applications could be avoided.
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    CORE: a Complex Event Recognition Engine
    (HUMANA PRESS INC, 2022) Bucchi M.; Grez A.; Quintana A.; Riveros C.; Vansummeren S.
    © 2022, VLDB Endowment.Complex Event Recognition (CER) systems are a prominent technology for finding user-defined query patterns over large data streams in real time. CER query evaluation is known to be computationally challenging, since it requires maintaining a set of partial matches, and this set quickly grows super-linearly in the number of processed events. We present CORE, a novel COmplex event Recognition Engine that focuses on the efficient evaluation of a large class of complex event queries, including time windows as well as the partition-by event correlation operator. This engine uses a novel automaton-based evaluation algorithm that circumvents the super-linear partial match problem: under data complexity, it takes constant time per input event to maintain a data structure that compactly represents the set of partial matches and, once a match is found, the query results may be enumerated from the data structure with output-linear delay. We experimentally compare CORE against state-of-the-art CER systems on real-world data. We show that (1) CORE’s performance is stable with respect to both query and time window size, and (2) CORE outperforms the other systems by up to five orders of magnitude on different workloads.
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    Hyperbolic Optimizer as a Dynamical System
    (ML Research Press, 2024) Alvarado Monardez, Nicolas Felipe Jesús; Lobel Díaz, Hans Albert
    During the last few years, the field of dynamical systems has been developing innovative tools to study the asymptotic behavior of different optimizers in the context of neural networks. In this work, we redefine an extensively studied optimizer, employing classical techniques from hyperbolic geometry. This new definition is linked to a non-linear differential equation as a continuous limit. Additionally, by utilizing Lyapunov stability concepts, we analyze the asymptotic behavior of its critical points.
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    Testing the influence of 3D coupling effects on the lateral response of non-planar T-shape wood frame shear walls
    (2023) Valdivieso Cascante, Diego Nicolas; López-García, González Diego; Almazán Campillay, José Luis; Montaño Castañeda, Jairo Alonso; Guindos Bretones, Pablo
    Cumulative shear wall overturning (CSWO) is a common response of structural models of multistory Light-Frame Timber Buildings (LFTBs) under lateral loads. Governed by holdown uplift and shear wall (SW) bending, large CSWO occurs in LFTBs due to the light self-weight of wood and the dominant rocking flexibility of stiff SWs. Even though CSWO is paramount in seismic design because of its effect on the flexibility of LFTBs (making hard to achieve the inter-story drift limits), this phenomenon is not incorporated into the structural models of LFTBs. For instance, in the design of LFTBs for lateral loads it is assumed that SWs behave as planar isolated elements. However, CSWO may be influenced by 3D coupling effects (3D-SWCE) in non-planar SWs such as T or L assemblies. This paper describes a large full-scale experiment of a 7.32 m x 5.1 m assembly, performed to gather insight into 3D-SWCEs through the cyclic evaluation of a non-planar T-shape SW. Results showed an asymmetric behaviour of the T-shape SW with increments of 20% and 98% in elastic stiffness and maximum capacity, respectively, with respect to those of a planar SW. It is concluded that 3D-SWCEs have a significant structural influence on the response of LFTBs.