Usaldusväärsete arvutisüsteemide keskus
Uurimisrühma juht
Seotud struktuuriüksus
TalTech prioriteetne teadussuund
Ülevaade
Usaldusväärsete arvutisüsteemide keskuse uurimistöö põhisuunad hõlmavad laia teemade ringi digitaalsüsteemide (k.a. mitme- ja paljutuumalised süsteemid) projekteerimise, usaldusväärsuse, verifitseerimise ja testimise vallast. Peamised uurimissuunad aastal 2022 hõlmasid:• Uudsed 3D kiibitehnoloogiad (koostöö: Stanfordi ülikool);• Riistvara turve (koostöö: Delfti TÜ, LIRMM/Montpellier, Airbus, Frankfurt UAS);• Närvivõrkude riistvaralised kiirendid (koostöö: Mälardaleni Ülikool, Tartu Ülikool, Fraunhofer IKS); • Kihiülene usaldusväärsus sensorvõrkudes (koostöö: Testonica Lab OÜ);• Verifitseerimine (omaduste kaevandamine) (koostöö: EPFL/Lausanne, TU Hamburg, Saksa kosmosekeskus DLR);Keskus on mitmete üle-Euroopaliste aktsioonide eestvedaja. Hetkel osaletakse Horisont2020 Twinning projektis SAFEST. Samuti ollakse partneriks teaduse tippkeskuses EXCITE.
Uurimisrühma liige
Klassifikaator (Frascati)
Võtmesõna
nanoelektroonika projekteerimine
turvalisus
verifitseerimine ja test
mitme- ja paljutuumalised süsteemid
närvivõrkude kiirendid
Tähtsamad tulemused
2023. aastal hõlmasid uurimisrühma olulisemad teadustulemused usaldusväärse tehisintellekti, riistvara turvalisuse ning autonoomsete sõidukite valdkondi. Esimesena nimetatud kahes valdkonnas avaldati mõlemas põhjalikud ülevaateartiklid ajakirjas ACM Computing Surveys. Riistvara turvalisuse vallas osaleti edukalt Prof. S. Pagliarini juhitud rahvusvahelise konsortsiumi töö koordineerimises ja lõpuni viimises EL Horisondi Twinning projekti SAFEST raames koostöös riistvara turvalisuse teaduskeskusega. Autonoomsete sõidukite valdkonnas käivitati uus NATO projekt "Autonoomsete droonide kasutamine tarkades lennuparvedes" ning jätkus osalemine EL Horisondi RIA projektis IRIS.
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https://doi.org/10.1109/ACCESS.2022.3168991 - Kerner, M., Tammemäe, K., Raik, J., Hollstein, T. Triple fixed-point MAC unit for deep learning // Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference. : IEEE, 2021. p. 1404-1407.
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https://doi.org/10.3390/s21093264 - Heidari Iman, M.R., Raik, J., Jervan, G., Ghasempouri, T. IMMizer : an innovative cost-effective method for minimizing assertion sets // 2022 25th Euromicro Conference on Digital System Design (DSD) : Maspalomas, Spain 2022 : proceedings. New York : IEEE, 2022. p. 671 - 678.
https://doi.org/10.1109/DSD57027.2022.00095 - Ashjaei, M., Bello, L. L., Daneshtalab, M., Patti, G., Saponara, S., Mubeen, S. Time-Sensitive Networking in automotive embedded systems : state of the art and research opportunities // Journal of Systems Architecture : the EUROMICRO Journal (2021) vol. 117, C
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http://dx.doi.org/10.1109/LCA.2020.2990599 - Kaeval, K., Fehenberger, T., Zou, J., Jansen, S. L., Grobe, K., Griesser, H., Elbers, J.-P., Tikas, M., Jervan, G. QoT assessment of the optical spectrum as a service in disaggregated network scenarios // Journal of Optical Communications and Networking (2021) vol. 13, 10, art. 9436771, p. E1-E12.
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https://doi.org/10.3390/s22166286 - Nazari, N., Mirsalari, S.A., Sinaei, S., Daneshtalab, M. et al. Multi-level binarized LSTM in EEG classification for wearable devices // 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 2020. Danvers : IEEE, 2020. p. 175-181.
https://doi.org/10.1109/PDP50117.2020.00033 - Loni, M., Mousavi, H., Riazati, M., Daneshtalab, M., Sjodin, M. TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge Devices // 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings. : IEEE, 2022. p. 1115-1118.
https://doi.org/10.23919/DATE54114.2022.9774615 - Houtan, B., Bergstrom, A., Ashjaei, M., Daneshtalab, M., Sjodin, M., Mubeen, S. An automated configuration framework for TSN networks // 2021 22nd IEEE International Conference on Industrial Technology (ICIT) : proceedings. Piscataway : IEEE, 2021. p. 771-778.
https://doi.org/10.1109/ICIT46573.2021.9453628 - Loni, M., Zoljodi, A., Majd, A., Ahn, B. H., Daneshtalab, M., Sjödin, M., Esmaeilzadeh, H. FastStereoNet : A fast neural architecture search for improving the inference of disparity estimation on resource-limited platforms // IEEE Transactions on Systems, Man, and Cybernetics : Systems (2022) vol. 52, 8, p. 5222-5234 : ill.
https://doi.org/10.1109/TSMC.2021.3123136 - Berisa, A., Zhao, L., Craciunas, S.S., Ashjaei, M., Mubeen, S., Daneshtalab, M.,Sjödin, M. AVB-aware routing and scheduling for critical traffic in time-sensitive networks with preemption // RTNS '22: Proceedings of the 30th International Conference on Real-Time Networks and Systems. : ACM, 2022. p. 207-218.
https://doi.org/10.1145/3534879.3534926 - Satka, Z., Pantzar, D., Magnusson, A., Ashjaei, M., Fotouhi, H., Sjodin, M.,Daneshtalab, M., Mubeen, S. Developing a translation technique for converged TSN-5G communication // Communication in Automation : 18th IEEE International Workshop on Factory Communication Systems 2022 : WFCS 2022. Danvers : IEEE, 2022. 8 p.
https://doi.org/10.1109/WFCS53837.2022.9779191 - Loni, M., Zoljodi, A., Maier, D., Daneshtalab, M. et al. DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture // 2020 IEEE Congress on Evolutionary Computation (CEC) : conference proceedings. Danvers : IEEE, 2020. 8 p.
https://doi.org/10.1109/CEC48606.2020.9185611 - Majd, A., Loni, M., Sahebi, G., Daneshtalab, M. Improving motion safety and efficiency of intelligent autonomous swarm of drones // Drones (2020) vol. 4, 3, art. 48, 19 p. : ill.
https://doi.org/10.3390/drones4030048 - Balakrishnan, A., Lange, T., Glorieux, M., Alexandrescu, D., Jenihhin, M. Composing graph theory and deep neural networks to evaluate SEU type soft error effects // 9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 2020. Danvers : IEEE, 2020.
https://doi.org/10.1109/MECO49872.2020.9134279 - Rahbari, D., Alam, M. M., Le Moullec, Y., Jenihhin, M. Fast and fair computation offloading management in a swarm of drones using a rating-based federated learning approach // IEEE Access (2021) vol. 9, p. 113832-113849.
https://doi.org/10.1109/ACCESS.2021.3104117 - Reinbrecht, C., Hamdioui, S., Taouil, M., Niazmand, B., Ghasempouri, T., Raik, J., Sepúlveda, J. LiD-CAT: A lightweight detector for cache ATtacks // 2020 IEEE European Test Symposium (ETS) : ETS 2020, May 25-29, 2020
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https://doi.org/10.1109/ETS48528.2020.9131603 - Satka, Z., Ashjaei, M., Fotouhi, H., Daneshtalab, M., Sjodin, M., Mubeen, S. QoS-MAN : a novel QoS mapping algorithm for TSN-5G flows // 2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). Piscataway : IEEE, 2022. p. 220-227.
https://doi.org/10.1109/RTCSA55878.2022.00030 - Leoste, J., Virkus, S., Talisainen, A., Tammemäe, K., Kangur, K., Petriashvili, I. Higher education personnel's perceptions about telepresence robots // Frontiers in Robotics and AI (2022) vol. 9, 14 p. : ill.
https://doi.org/10.3389/frobt.2022.976836 - Päeske, L., Hinrikus, H., Lass, J., Raik, J., Bachmann, M. Negative correlation between functional connectivity and small-worldness in the alpha frequency band of a healthy brain // Frontiers in Physiology (2020) Vol. 11, Art. nr. 910.
https://doi.org/10.3389/fphys.2020.00910 - Houtan, B., Ashjaei, M., Daneshtalab, M., Sjödin, M., Afshar, S., Mubeen, S. Schedulability analysis of best-effort traffic in TSN networks // 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). : IEEE, 2021. 8 l.
https://doi.org/10.1109/ETFA45728.2021.9613511 - Mirsalari, S. A., Nazari, N., Sinaei, S., Salehi, M. E., Daneshtalab, M. FaCT-LSTM : fast and compact ternary architecture for LSTM recurrent neural networks // IEEE design & test (2022) vol. 39, 3, p. 45-53.
https://doi.org/10.1109/MDAT.2021.3070245 - Riazati, M., Daneshtalab, M., Sjodin, M., Lisper, B. DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA // ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings. Danvers : IEEE, 2020. 4 p.
https://doi.org/10.1109/ICECS49266.2020.9294881 - Kaeval, K., Jansen, S. L., Spinty, F., Grobe, K., Griesser, H., Fehenberger, T., Tikas, M., Jervan, G. Characterization of the optical spectrum as a service // Journal of Optical Communications and Networking (2022) vol. 14, 5, p. 398-410.
https://doi.org/10.1364/JOCN.454158 - Cardoso Medeiros, G., Gürsoy, C.C., Fieback, M., Jenihhin, M. et al. A DFT scheme to improve coverage of hard-to-detect faults in FinFET SRAMs // 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 9-13 March 2020, Grenoble, France : proceedings. : EDAA, 2020. p. 792-797.
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https://doi.org/10.1016/j.procs.2022.03.032 - Forsberg, H., Linden, J., Hjorth, J., Manefjord, T., Daneshtalab, M. Challenges in using neural networks in safety-critical applications // AIAA/IEEE Digital Avionics Systems Conference - Proceedings,, 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings. Danvers : IEEE, 2020. 7 p.
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https://doi.org/10.1109/IOLTS56730.2022.9897309 - Riazati, M., Daneshtalab, M., Sjodin, M., Lisper, B. DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive Generator // Riazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.. Piscataway : IEEE, 2022. p. 1-6.
https://doi.org/10.1109/NorCAS57515.2022.9934617 - Chaves, C.G., Sepulveda, J., Hollstein, T. Lightweight monitoring scheme for flooding DoS Attack detection in multi-tenant MPSoCs // 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings. Danvers : IEEE, 2021. 5 p.
https://doi.org/10.1109/ISCAS51556.2021.9401153 - Basov, K., Robal, T., Reinsalu, U., Leier, M. Elevator passenger in-cabin behaviour – a study on Smart-Elevator Platform // Digital Business and Intelligent Systems : 15th International Baltic Conference, Baltic DB&IS 2022, Riga, Latvia, July 4-6, 2022 : proceedings. Cham : Springer Nature, 2022. p. 3-18 : ill. (Communications in computer and information science ; 1598).
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