Results 21 to 30 of about 1,016,543 (243)
MODEL IDENTIFICATION OF PROPERTIES OF ERRORS IN DATA PROCESSING TECHNOLOGY
The recognition problem is solved on the basis of the properties of the statistical classification structure errors, referred to as defects. Classification is performed by agglomerative cluster analysis on Euclidean metric.
George N. Isaev
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A Novel Low-Power and Soft Error Recovery 10T SRAM Cell
In SRAM cells, as the size of transistors and the distance between transistors decrease rapidly, the critical charge of the sensitive node decreases, making SRAM cells more susceptible to soft errors.
Changjun Liu, Hongxia Liu, Jianye Yang
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Since lossless compression can only achieve two to four times data compression, it may not be efficient to deploy lossless compression in bandwidth constrained applications. Instead, it would be more economical to adopt perceptually lossless compression,
Chiman Kwan +5 more
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Simple approach to approximate quantum error correction based on the transpose channel [PDF]
We demonstrate that there exists a universal, near-optimal recovery map—the transpose channel—for approximate quantum error-correcting codes, where optimality is defined using the worst-case fidelity.
Mandayam, Prabha, Ng, Hui Khoon
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Error Recovery in the Time-Triggered Paradigm with FTT-CAN
Data networks are naturally prone to interferences that can corrupt messages, leading to performance degradation or even to critical failure of the corresponding distributed system.
Luis Marques +3 more
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Influence of current error controller on commutation failures and system recovery
Constant extinction angle control based on prediction is a basic control strategy of inverter in line-commutated converter high-voltage direct current (HVDC) system.
SONG Xinfu +5 more
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Post-error slowing is an error recovery strategy that contributes to action control, and occurs after errors in order to prevent future behavioral flaws.
Takahiro eSoshi +6 more
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Data Fit (Stress) vs. Model Fit (Recovery) in Multidimensional Scaling
The paper studies the relation of data fit (Stress) and model fit (recovery of a true latent configuration superimposed with random error) depending on the number of points and the error level in the data when running ordinal and interval MDS.
Ingwer Borg
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Recovery in quantum error correction for general noise without measurement [PDF]
It is known that one can do quantum error correction without syndrome measurement, which is often done in operator quantum error correction (OQEC). However, the physical realization could be challenging, especially when the recovery process involves high-
Li, Chi-Kwong +4 more
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Energy harvesting wireless sensor networks (EH-WSNs) have been widely studied as a data collection infrastructure in the context of Artificial Intelligence of Things (AIoT).
Ikjune Yoon
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