Results 11 to 20 of about 133,634 (266)
Applying Reinforcement Learning to Protect Deep Neural Networks from Soft Errors [PDF]
SensorsWith the advance of Artificial Intelligence, Deep Neural Networks are widely employed in various sensor-based systems to analyze operational conditions.
Peng Su +3 more
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Assessment of inhalation technique in patients with bronchial asthma and chronic obstructive pulmonary disease [PDF]
Терапевтический архив, 2023 Aim. Investigate inhalation techniques using different inhalers types and their effect on the course of disease. Materials and methods. This cross-sectional study included 110 patients with asthma, chronic obstructive pulmonary disease using the ...
Natalia V. Trushenko +6 more
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Understanding soft errors in uncore components [PDF]
Proceedings of the 52nd Annual Design Automation Conference, 2015 The effects of soft errors in processor cores have been widely studied. However, little has been published about soft errors in uncore components, such as memory subsystem and I/O controllers, of a System-on-a-Chip (SoC). In this work, we study how soft errors in uncore components affect system-level behaviors.
Hyungmin Cho +3 more
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Formal Analysis of Soft Errors using Theorem Proving [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 Modeling and analysis of soft errors in electronic circuits has traditionally been done using computer simulations. Computer simulations cannot guarantee correctness of analysis because they utilize approximate real number representations and pseudo ...
Sofiène Tahar +2 more
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Fast and Accurate Error Simulation for CNNs Against Soft Errors
IEEE Transactions on Computers, 2023 The great quest for adopting AI-based computation for safety-/mission-critical applications motivates the interest towards methods for assessing the robustness of the application w.r.t. not only its training/tuning but also errors due to faults, in particular soft errors, affecting the underlying hardware. Two strategies exist: architecture-level fault
Bolchini C. +3 more
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WCET-Aware Control Flow Checking With Super-Nodes for Resource-Constrained Embedded Systems
IEEE Access, 2018 Safety-critical embedded systems in application domains, such as aerospace, automotive, and industrial automation, must satisfy dual requirements of fault-tolerance and real-time predictability.
Ming Zhang +3 more
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A Novel Low Power Bitcell Design Featuring Inherent SEU Prevention and Self Correction Capabilities
Journal of Low Power Electronics and Applications, 2015 The pursuit of continuous scaling of electronic devices in the semiconductor industry has led to two unintended but significant outcomes: a rapid increase in susceptibility to radiation induced errors, and an overall rise in power consumption.
Oron Chertkow +3 more
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Tsinghua Science and Technology, 2020 Soft errors have become a critical challenge as a result of technology scaling. Existing circuit-hardening techniques are commonly associated with prohibitive overhead of performance, area, and power.
Tun Li, Qinhan Yu, Hai Wan, Sikun Li
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Error Correction For Soft Errors
Journal of Electrical & Electronic Systems, 2018 Radiation induced soft errors are susceptible to most of the electronic products with the development of CMOS technology. A particle striking on any of the electronic products can produce soft errors that can be either single event upset or single event transient. There are various techniques such as FERST, BISER, TMR, DMR, DICE, SEC-DED, DEC-TED, EDAC,
Dhanushya T, Latha T
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Custom Scrubbing for Robust Configuration Hardening in Xilinx FPGAs
Instruments, 2019 The usage of SRAM-based Field Programmable Gate Arrays on High Energy Physics detectors is mostly limited by the sensitivity of these devices to radiation-induced upsets in their configuration.
Raffaele Giordano +3 more
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