publ-2022.bib
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and ( not ( $type : "techreport" ))
and ( not ( $type : "misc" ))
and ( not ( annotate : "not reviewed" )))
or $key = "hauer:2021a"
' /home/jantsch/text/papers/lit.bib}}
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title = MS Windows NT Kernel Description,
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note = Accessed: 2010-09-30
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title = Quine-McCluskey Algorithm,
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note = Accessed: 2021-08-11
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@inproceedings{kolisnyk:2022a,
author = {Kolisnyk, Maryna and Jantsch, Axel and Piskachova,
Iryna},
booktitle = {2022 12th International Conference on Dependable
Systems, Services and Technologies (DESSERT)},
title = {Markov Model for Availability Assessment of PLC in
Industrial IoT Considering Subsystems Failures},
year = 2022,
pages = {1-4},
doi = {10.1109/DESSERT58054.2022.10018637}
}
@article{lundstroem:2022a,
author = {Lundstr\"om, Adam and O'Nils, Mattias and Qureshi,
Faisal and Jantsch, Axel},
journal = {IEEE Access},
title = {Improving deep learning based anomaly detection on
multivariate time series through separated anomaly
scoring},
year = 2022,
pages = {1-1},
key = { eml },
doi = {10.1109/ACCESS.2022.3213038}
}
@incollection{kobelrausch:2022a,
author = {Markus D. Kobelrausch and Axel Jantsch},
title = {Skill Acquisition for Resource-Constrained Mobile
Robots through Continuous Exploration},
booktitle = {Cognitive Robotics and Adaptive Behaviors },
publisher = {IntechOpen},
address = {Rijeka},
year = 2022,
editor = {Dr. Maki K. Habib},
chapter = 3,
key = {selfaware},
doi = {10.5772/intechopen.104996},
url = {http://jantsch.se/AxelJantsch/papers/2022/MarkusKobelrausch-SkillAcquisition.pdf}
}
@inproceedings{elaraby:2022b,
author = {Nahla El-Araby and David Frismuth and Nilson Neves Filho
and Axel Jantsch},
title = {Run Time Power and Accuracy Management with Approximate Circuits},
booktitle = {International Conference on Very Large Scale Integration (VLSI-SoC)},
year = 2022,
doi = { 10.1109/VLSI-SoC54400.2022.9939639}
}
@inproceedings{elaraby:2022a,
author = {Nahla El-Araby and Axel Jantsch},
title = { Reliable Power Efficient Systems through Run-time
Reconfiguration},
booktitle = { Proceedings of the IEEE International NEWCAS
Conference },
year = 2022,
month = {June},
address = {Quebec, Canada},
url = {http://jantsch.se/AxelJantsch/papers/2022/NajlaElAraby-NEWCAS.pdf}
}
@article{valinataj:2022a,
title = {Hierarchical multipliers: A framework for high-speed
multiple error detecting architectures},
journal = {Microelectronics Journal},
pages = 105459,
year = 2022,
issn = {0026-2692},
doi = {https://doi.org/10.1016/j.mejo.2022.105459},
url = {https://www.sciencedirect.com/science/article/pii/S0026269222000945},
author = {Mojtaba Valinataj and Axel Jantsch},
abstract = {The demand for high-performance and reliable
processing systems is steadily increasing, also in
applications where multiple transient faults may
occur. As multipliers are one of the main building
blocks of the processing systems, employing a
cost-efficient and high-speed method handling
multiple-errors is of great importance. In this
paper, at first a framework to achieve multiple
error detection in the multipliers is proposed,
which is entirely independent of the multiplier type
and error detection method. Then, the self-checking
hierarchical multipliers with multiple error
detection capability up to the size of 64 × 64 bits
are proposed in such a way that the low-cost and
high-speed designs are achieved with high multiple
error detection probabilities. Experimental results
based on analysis and simulation show that the
proposed 32 × 32 and 64 × 64 multipliers based on
each of Dadda or Braum structures as high-speed
parallel and array multipliers, respectively,
achieve more than 99.8% error detection probability
against three or more simultaneous errors. This
capability for 64 × 64 multipliers is attained with
35% area overhead and less than 5% delay overhead
compared to the basic non-self-checking design.}
}
@inproceedings{lechner:2022a,
author = {Martin Lechner and Axel Jantsch and Lukas Steindl},
title = {Study of {DNN}-based Ragweed Detection from Drones},
key = {eml,cdl,ict},
booktitle = {Proceedings of International Conference on Embedded
Computer Systems: Architectures, Modeling and
Simulation (SAMOS)},
year = 2022,
month = {July},
address = {Samos, Greece},
url = {http://jantsch.se/AxelJantsch/papers/2022/MartinLechner-SAMOS.pdf}
}