Results 21 to 30 of about 2,592,049 (289)

Design of Hamming Code For 64 Bit Single Error Detection and Correction Using VHDL

Diyala Journal of Engineering Sciences, 2015
Hamming code is an efficient error detection and correction technique which can be used to detect single and burst errors, and correct errors. In communication system information data transferred from source to destination by channel, which may be ...
Adham Hadi Saleh
doaj   +1 more source

FaTEMa: A Framework for Multi-Layer Fault Tolerance in IoT Systems

Sensors, 2021
Fault tolerance in IoT systems is challenging to overcome due to its complexity, dynamicity, and heterogeneity. IoT systems are typically designed and constructed in layers. Every layer has its requirements and fault tolerance strategies. However, errors
Mário Melo, Gibeon Aquino
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Fault-tolerant method for anti-SEU of embedded system based on dual-core processor

The Journal of Engineering, 2019
The development of space applications based on commercial system on chip (SOC) FPGA devices has become an important direction for the development of aerospace technology, but single event upsets (SEUs) in space is a difficult problem for commercial SOC ...
Xiuhai Cui, Qi Gao, Ruichao Wang, Li Liu, Jun Liang, Yu Peng   +5 more
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Quantum error correction for continuously detected errors [PDF]

Physical Review A, 2003
We show that quantum feedback control can be used as a quantum error correction process for errors induced by weak continuous measurement. In particular, when the error model is restricted to one, perfectly measured, error channel per physical qubit, quantum feedback can act to perfectly protect a stabilizer codespace. Using the stabilizer formalism we
Ahn, Charlene, Wiseman, H. M., Milburn, G. J.   +2 more
openaire   +7 more sources

Enhanced Theta-Band Coherence Between Midfrontal and Posterior Parietal Areas Reflects Post-feedback Adjustments in the State of Outcome Uncertainty

Frontiers in Integrative Neuroscience, 2019
Medial frontal cortex is currently viewed as the main hub of the performance monitoring system; upon detection of an error committed, it establishes functional connections with brain regions involved in task performance, thus leading to neural ...
Yulia M. Nurislamova, Nikita A. Novikov, Nikita A. Novikov, Natalia A. Zhozhikashvili, Boris V. Chernyshev, Boris V. Chernyshev, Boris V. Chernyshev   +6 more
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Slow and Fast Responses: Two Mechanisms of Trial Outcome Processing Revealed by EEG Oscillations

Frontiers in Human Neuroscience, 2017
Cognitive control includes maintenance of task-specific processes related to attention, and non-specific regulation of motor threshold. Depending upon the nature of the behavioral tasks, these mechanisms may predispose to different kinds of errors, with ...
Nikita A. Novikov, Yulia M. Nurislamova, Natalia A. Zhozhikashvili, Evgenii E. Kalenkovich, Anna A. Lapina, Boris V. Chernyshev, Boris V. Chernyshev   +6 more
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Impaired rapid error monitoring but intact error signaling following rostral anterior cingulate cortex lesions in humans

Frontiers in Human Neuroscience, 2015
Detecting one’s own errors and appropriately correcting behavior are crucial for efficient goal-directed performance. A correlate of rapid evaluation of behavioral outcomes is the error-related negativity (Ne/ERN) which emerges at the time of the ...
Martin E. Maier, Martin E. Maier, Francesco eDi Gregorio, Francesco eDi Gregorio, Teresa eMuricchio, Giuseppe eDi Pellegrino, Giuseppe eDi Pellegrino   +6 more
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Knowledge Error Detection via Textual and Structural Joint Learning

Big Data Mining and Analytics
Knowledge graphs are essential tools for representing real-world facts and finding wide applications in various domains. However, the process of constructing knowledge graphs often introduces noises and errors, which can negatively impact the performance
Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He   +4 more
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Accurate Monitoring and Fault Detection in Wind Measuring Devices through Wireless Sensor Networks

Sensors, 2014
Many wind energy projects report poor performance as low as 60% of the predicted performance. The reason for this is poor resource assessment and the use of new untested technologies and systems in remote locations.
Komal Saifullah Khan, Muhammad Tariq
doaj   +1 more source

Detecting Errors in Numeric Attributes [PDF]

, 2014
To detect errors in numeric data, this paper proposes numeric functional dependencies (NFDs), a class of dependencies that allow us to specify arithmetic relationships among numeric attributes. We show that NFDs subsume conditional functional dependencies (CFDs); hence, we can catch data inconsistencies, numeric or not, in a uniform logic framework by ...
Grace Fan, Wenfei Fan, Floris Geerts
openaire   +2 more sources