171,974 research outputs found

    Bosio, C.

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    Self-checking monitor for NBTI due degradation

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    Performance degradation of integrated circuits due to aging effects, such as Negative Bias Temperature Instability (NBTI), is becoming of great concern for current and future CMOS technology. In this paper we propose a monitor able to detect NBTI due late transitions in the combinational part of a critical data-path. It requires lower area than recently proposed alternative solutions, and a lower or comparable power consumption. Moreover, differently from alternative solutions, our monitor is also self-checking with respect to its possible internal faults, thus avoiding the useless negative impact on system performance and the negative impact on system reliability which could otherwise take place in case of non self-checking sensors, should they get affected by faults

    CNAO: esposizione ai campi elettromagnetici del sincrotrone

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    valutazione della esposizione ai campi elettromangnetici presso il Centro nazionale di Adroterapia Oncologica - CNA

    Resilience of Deep Learning Applications: Where We are and Where We Want to Go

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    Deep Learning (DL) [1] is currently one of the most intensively and widely used predictive models in the field of machine learning. DL has proven to give very good results for many complex tasks and applications, such as object recognition in images/videos, natural language processing, robotics, aerospace, smart healthc are, and autonomous driving. Nowa-days, there is intense activity in designing custom Artificial Intelligence (AI) hardware accelerators to support the energy-hungry data movement, speed of computation, and memory resources that DL requires to realize its full potential [2]. Furthermore, there is an incentive to migrate AI from cloud to edge devices, i.e., Internet-of- Things devices, to address data confidentiality issues and bandwidth limitations, and also to alleviate the communication latency, especially for real-time safety-critical decisions, e.g., in autonomous driving

    Editorial

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    Editoriale dei Proceedings del 9th Topical Seminar on Innovative Particle and Radiation Detectors 23 - 26 May 2004 Siena, Ital

    Thermal and thermo-oxidative characterisation of rice straw for its use in energy valorisation processes

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    [EN] The processes of pyrolysis and combustion of rice straw will be carried out in a spouted bed reactor. Both thermo-chemical processes were simulated in the first stage by multi-rate linear non-isothermal thermogravimetric (TGA) experiments using Ar and O-2 as carrier gas respectively. The results obtained from the TGA measurements, the kinetic methodology based on the combination of the iso-conversional methods Friedman, Flynn-Wall-Ozawa, Kissinger-Akahira-Sunose, Vyazovkin and the use of Master Plots assessed by Perez-Maqueda criterion have permitted to describe mathematically both thermo-chemical reactions. Lower operational temperatures and higher kinetic parameters (Ea, n, A) were required to carry out combustion reactions respect to those for pyrolysis. These results will be the initial parameters that will define both thermo-chemical processes in a spouted bed reactor. (C) 2016 Elsevier Ltd. All rights reserved.Moliner, C.; Bosio, B.; Arato, E.; Ribes-Greus, A. (2016). Thermal and thermo-oxidative characterisation of rice straw for its use in energy valorisation processes. Fuel. 180:71-79. https://doi.org/10.1016/j.fuel.2016.04.021S717918

    Novel low-cost aging sensor

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    Performance degradation of integrated circuits due to aging effects, such as Negative Bias Temperature Instability (NBTI), is becoming of great concern for current and future CMOS technology. Here we introduce an aging sensor able to detect such degradations in the combinational part of a critical data-path. It requires lower area than recently proposed alternative solutions, and a lower or comparable power consumption. © 2010 author/owner(s)
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