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Published in 2017 at "Numerical Algorithms"
DOI: 10.1007/s11075-017-0400-3
Abstract: We consider the Cauchy-Stokes problem. We use a new method based on Nash game theory to recover the missing velocity and normal stress on some inaccessible part of the boundary. This method is used with…
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Keywords:
data recovery;
using nash;
missing boundary;
boundary data ... See more keywords
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Published in 2020 at "Advances in Archaeological Practice"
DOI: 10.1017/aap.2020.13
Abstract: ABSTRACT For historic property types such as archaeological sites and historic buildings, data recovery is often the main part of mitigation plans offered by federal agencies with undertakings that will destroy part or all of…
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Keywords:
digital information;
data recovery;
information;
beyond data ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2932259
Abstract: QoS-aware big data analysis is critical in Information-Centric Internet of Things (IC-IoT) system to support various applications like smart city, smart grid, smart health, intelligent transportation systems, and so on. The employment of non-volatile memory…
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Keywords:
data recovery;
qos;
big data;
recovery ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2942195
Abstract: In wireless sensor networks (WSNs), data recovery is an indispensable operation for data loss or energy constrained WSNs using sparse sampling. However, the recovery accuracy is not satisfying for WSNs with various sensor types due…
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Keywords:
low rank;
multi attribute;
data recovery;
attribute data ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3211304
Abstract: The concept of big data security is introduced in this article along with many features. It illustrates the need for security in healthcare systems as the volume of data increases continuously over the period of…
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Keywords:
data privacy;
big data;
security;
data recovery ... See more keywords
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Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3069003
Abstract: In the real-time status monitoring of pipeline network, incomplete pressure data are unavoidable due to some device or communication errors. To solve this problem, a hierarchical data recovery method based on generative adversarial networks (GANs)…
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Keywords:
pressure data;
pipeline network;
pressure;
data recovery ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3119907
Abstract: This paper presents a low power injection-locked oscillator (ILO)-type clock and data recovery (CDR) in 40 nm CMOS. An efficient “phase reset” scheme is proposed to periodically realign the clock phase to the rising edge…
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Keywords:
clock data;
phase;
reset scheme;
phase reset ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3146859
Abstract: Due to vulnerabilities exposed to cyberattacks in the cyber physical power system, increasing concerns have been paid to its cybersecurity, especially on the so-called false data injection attack. Timely recovering true values of measurements and…
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Keywords:
data recovery;
data injection;
false data;
recovery scheme ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3192966
Abstract: In this article, we propose application layer coding schemes to recover lost data in delay-sensitive uplink (sensor-to-gateway) communications in the Internet of Things. Built on an approach that combines retransmissions and forward erasure correction, the…
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Keywords:
application layer;
layer coding;
internet things;
data recovery ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3151925
Abstract: Traffic information can be used for real-time traffic management and long-term transportation planning to increase traffic efficiency and safety. However, data containing both missing and deviating values, can seriously affect the accuracy of traffic information,…
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Keywords:
corrupted incomplete;
traffic;
traffic data;
spatial temporal ... See more keywords
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Published in 2020 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2020.2993196
Abstract: Insights are developed into grouping PMU signals for guaranteeing data recovery under sparse corruption. Analytical relations are derived to express the denseness of the subspace spanned by a measurement window in terms of the modal…
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Keywords:
signal selection;
selection oscillation;
corruption;
data recovery ... See more keywords