Articles with "data recovery" as a keyword



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Missing boundary data recovery using Nash games: the Stokes system

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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… read more here.

Keywords: data recovery; using nash; missing boundary; boundary data ... See more keywords
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Beyond Data Recovery: Developing Digital Information Systems for Cultural Resources in the Online Era

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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… read more here.

Keywords: digital information; data recovery; information; beyond data ... See more keywords
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Active Data Replica Recovery for Quality-Assurance Big Data Analysis in IC-IoT

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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… read more here.

Keywords: data recovery; qos; big data; recovery ... See more keywords
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Multi-Attribute Data Recovery in Wireless Sensor Networks With Joint Sparsity and Low-Rank Constraints Based on Tensor Completion

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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… read more here.

Keywords: low rank; multi attribute; data recovery; attribute data ... See more keywords
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Big Data Privacy and Security Using Abundant Data Recovery Techniques and Data Obliviousness Methodologies

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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… read more here.

Keywords: data privacy; big data; security; data recovery ... See more keywords
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Hierarchical Pressure Data Recovery for Pipeline Network via Generative Adversarial Networks

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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)… read more here.

Keywords: pressure data; pipeline network; pressure; data recovery ... See more keywords
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A 6.15–10.9 Gb/s 0.58 pJ/Bit Reference-Less Half-Rate Clock and Data Recovery With “Phase Reset” Scheme

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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… read more here.

Keywords: clock data; phase; reset scheme; phase reset ... See more keywords
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An Inertia-Based Data Recovery Scheme for False Data Injection Attack

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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… read more here.

Keywords: data recovery; data injection; false data; recovery scheme ... See more keywords
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Making the Most of Sporadic Feedback: Low-Complexity Application Layer Coding for Data Recovery in the Internet of Things

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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… read more here.

Keywords: application layer; layer coding; internet things; data recovery ... See more keywords
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Traffic Data Recovery From Corrupted and Incomplete Observations via Spatial-Temporal TRPCA

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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,… read more here.

Keywords: corrupted incomplete; traffic; traffic data; spatial temporal ... See more keywords
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Signal Selection for Oscillation Monitoring With Guarantees on Data Recovery Under Corruption

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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… read more here.

Keywords: signal selection; selection oscillation; corruption; data recovery ... See more keywords