Laboratory of proactive technologies
TalTech priority area
Research classification (Frascati)
Head of the research group
Research group member
Doctoral students
Keyword
cyber-physical-systems
spontaneous sensor networks
fog calculation
deep learning
supranational comprehensive situational awareness
Overview
The laboratory focuses on the theoretical andpractical study of networked systems built fromstationary and/or mobile software-intensive(proactive) components. Typical componentsare pervasive computing systems. The researchis partitioned into three threads: (1) modelingand verification of situation-aware interactioncentered computation; (2) methods and technologies for acquiring situational information;(3) methods for processing and interpretation ofsituational information for (proactive) decisionmaking. The long-term goal of the laboratoryis the ability to detect and partially control the emergent behaviour in pervasive computing systems. In addition, ProLab performs researchon classification, semantic segmentation andobject detection using convolutional neuralnetworks. The methodology has been applied tophotographic images, point cloud collections andsound recordings.One of ProLab’s research focuses has been todevelop smart Internet solutions using energyefficient microcontrollers. Taking advantageof research in the fields of self-organization,multi-agent systems, cyber-physical systems,and interactive computing, we have shown thatit is possible to create very large sensor networksconsisting of distributed devices. The dynamicorganization of the cooperation between the elements of such a sensor network is very importanthere. One good example of this is the smart citysensor network on the streets of Tallinn, whichconsists of nearly 900 sensors designed and deployed by ProLab. ProLab is currently developingmachine learning models for microcontrollersfor the same sensor network that can detect different types of noise in urban environments aswell as the types, direction and speed of vehiclesmoving on the streets.
Related projects
Related department
Teadusgrupiga seotud publikatsioonid
- Lõuk, R., Riid, A., Pihlak, R., Tepljakov, A. Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks // Algorithms (2020) vol. 13, 8, art. 198, 27 p. : ill.
https://doi.org/10.3390/a13080198 - Mõtus, L., Teichmann, M., Meriste, M., Rannat, K., Priisalu, J., Kaugerand, J. Süsteemide süsteemi olukorra hindamisest selle komponentide võimemudelite abil // Sõjateadlane (2020) vol. 15, Lk. 238-260.
https://www.ester.ee/record=b4555087*est - Leier, M., Riid, A., Alumäe, T., Reinsalu, U., Pihlak, R., Udal, A., Heinsar, R., Vainküla, S. Smart elevator with unsupervised learning for visitor profiling and personalised destination prediction // 2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Virtual Conference, 14-22 May 2021 : proceedings. Danvers : IEEE, 2021. p. 9-16.
https://doi.org/10.1109/CogSIMA51574.2021.9475921 - Riid, A., Lõuk, R., Pihlak, R., Tepljakov, A., Vassiljeva, K. Pavement distress detection with deep learning using the orthoframes acquired by a mobile mapping system // Applied sciences (2019) vol. 9, 22, art. 4829, 22 p. : ill.
https://doi.org/10.3390/app9224829 - Teichmann, M., Mõtus, L. Situation awareness, mental models and understanding // Proceedings - 2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2021. Piscataway, NJ : IEEE, 2021. p. 86-93.
https://doi.org/10.1109/CogSIMA51574.2021.9475920 - Chen, G., Canonaco, F., Tobler, A., Aas, W., Alastuey, A., Allan, J., Atabakhsh, S., Aurela, M., Baltensperger, U., Keernik, H. et al. European aerosol phenomenology − 8 : harmonised source apportionment of organic aerosol using 22 year-long ACSM/AMS datasets // Environment international (2022) vol. 166, 18 p. : ill.
https://doi.org/10.1016/j.envint.2022.107325 - Cuesta-Mosquera, A., Močnik, G., Drinovec, L., Müller, T., Pfeifer, S., Cruz Minguillón, M., Briel, B., Buckley, P., Dudoitis, V., Keernik, H. et al. Intercomparison and characterization of 23 Aethalometers under laboratory and ambient air conditions : procedures and unit-to-unit variabilities // Atmospheric measurement techniques (2021) vol. 14, 4, p. 3195-3216.
https://doi.org/10.5194/amt-14-3195-2021 - Astrov, I., Udal, A. Neural predictive tracking control of catamaran model sailboat for situation awareness applications // INES 2020 : IEEE 24th International Conference on Intelligent Engineering Systems, July 8-10, 2020, Reykjavik, Iceland : proceedings. Piscataway, New Jersey : IEEE, 2020. p. 153-158 : ill.
http://doi.org/10.1109/INES49302.2020.9147126 - Karaliunas, M., Dudutiene, E., Čerškus, A., Pagalys, J., Pūkiene, S., Udal, A., Butkute, R., Valušis, G. High precision parabolic quantum wells grown using pulsed analog alloy grading technique: Photoluminescence probing and fractional-dimensional space approach // Journal of luminescence (2021) vol. 239, art. 118321, 9 p.
https://doi.org/10.1016/j.jlumin.2021.118321 - Astrov, I., Udal, A., Roasto, I., Mõlder, H. Target tracking by neural predictive control of autonomous surface vessel for environment monitoring and cargo transportation applications // 2020 17th Biennial Baltic electronics conference, Tallinn, Estonia, October 6-8, 2020 : proceedings. Danvers : IEEE, 2020. 4 p.
https://doi.org/10.1109/BEC49624.2020.9277115 - Malayjerdi, E., Sell, R., Malayjerdi, M., Udal, A., Bellone, M. Practical path planning techniques in overtaking for autonomous shuttles // Journal of field robotics (2022) Vol. 39, 4, p. 410-425.
https://doi.org/10.1002/rob.22057 - Butt, S. A., Rava, K., Kangilaski, T., Pappel, I., Draheim, D. Designing a digital collaborative platform for the silver economy: inception and conceptualization // 2021 Eighth International Conference on eDemocracy and eGovernment (ICEDEG) : Quito, Ecuador, 28-30 July 2021. Danvers : IEEE, 2021. p. 47-54 : ill.
https://doi.org/10.1109/ICEDEG52154.2021.9530937 - Riid, A., Manna, D.L., Astapov, S. Image-Based pavement type classification with convolutional neural networks // INES 2020 : IEEE 24th International Conference on Intelligent Engineering Systems, July 8-10, 2020, Reykjavik, Iceland : proceedings. Piscataway, New Jersey : IEEE, 2020. p. 55-60 : ill.
https://doi.org/10.1109/INES49302.2020.9147199 - Astrov, I., Udal, A., Molder, H. An optimal control method for an autonomous surface vessel for environment monitoring and cargo transportation applications // 2021 25th International Conference Electronics : Proceedings of the 25th International Conference : ELECTRONICS 2021, Kaunas University of Technology, 14th–16th June, 2021, Palanga, Lithuania. Danvers : IEEE, 2021. 6 p.
https://doi.org/10.1109/IEEECONF52705.2021.9467483 - Karaliunas, M., Udal, A., Valušis, G. Depopulation mechanism for incoherent terahertz source – THz Torch – based on GaAsBi/GaAs quantum well in GaAs/AlGaAs parabolic quantum well // Lithuanian journal of physics (2020) vol. 60, 2, p. 113-124.
https://doi.org/10.3952/physics.v60i2.4226 - Riid, A., Pihlak, R., Liinev, R. Identification of drivable road area from orthophotos using a convolutional neural network // 2020 17th Biennial Baltic electronics conference, Tallinn, Estonia, October 6-8, 2020 : proceedings. Danvers : IEEE, 2020. 5 p. : ill.
https://doi.org/10.1109/BEC49624.2020.9277392 - Astrov, I., Udal, A., Molder, H., Jalakas, T., Moller, T. Wind force model and adaptive control of catamaran model sailboat // 2022 8th International Conference on Automation, Robotics and Applications, ICARA 2022. : IEEE, 2022. p. 202-208 : ill.
https://doi.org/10.1109/ICARA55094.2022.9738524 - Pihlak, R., Riid, A. Morphological cross entropy loss for improved semantic segmentation of small and thin objects // Procedia computer science (2021) vol. 192, p. 582–591.
https://doi.org/10.1016/j.procs.2021.08.060 - Via, M., Chen, G., Canonaco, F., Daellenbach, K. R., Chazeau, B., Chebaicheb, H., Jiang, J., Keernik, H., Lin, C., Marchand, N., Marin et al. Rolling vs. seasonal PMF : real-world multi-site and synthetic dataset comparison // Atmospheric measurement techniques (2022) vol. 15, 18, p. 5479-5495.
https://doi.org/10.5194/amt-15-5479-2022 - Astrov, I., Udal, A., Pikner, H., Malayjerdi, E. A model-based LQR control of an obstacle avoidance maneuver of a self-driving car // 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI) : Poprad, Slovakia, 2-5 March 2022. : IEEE, 2022. p. 473-478 : ill.
https://doi.org/10.1109/SAMI54271.2022.9780755 - Udal, A., Jaanus, M., Piho, G. Task-based mobile learning ISC-system: built-in Coronavirus immunity confirmed // Educating Engineers for Future Industrial Revolutions : Proceedings of the 23rd International Conference on Interactive Collaborative Learning (ICL2020). Volume 2. Cham : Springer International Publishing, 2021. p. 604-616. (Advances in Intelligent Systems and Computing ; 1329).
https://doi.org/10.1007/978-3-030-68201-9_59 - Kangilaski, T., Butt, S. A., Pappel, I., Kangilaski, E. Overcoming challenges in the silver economy by connecting services in the Silver Hub : the tool to provide the basis for the innovative solutions // Proceedings of the 14th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2021), 6 - 8 October 2021, Athens, Greece. New York : ACM Press, 2021. p. 231-237 : ill.
https://doi.org/10.1145/3494193.3494225 - Rebane, K., Teichmann, M., Rannat, K. Dynamics of the Public Satisfaction with Situation Management During COVID-19 Pandemic : Developments from March 2020 to January 2022 // 2022 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : proceedings. : IEEE, 2022. p. 112-114.
https://doi.org/10.1109/CogSIMA54611.2022.9830670 - Pihlak, R., Riid, A. Simultaneous road edge and road surface markings detection using convolutional neural networks // Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings. Cham : Springer International Publishing AG, 2020. p. 109-121. (Communications in computer and information science ; 1243).
https://doi.org/10.1007/978-3-030-57672-1_9 - Lõuk, R., Tepljakov, A., Riid, A. A two-stream context-aware ConvNet for pavement distress detection // 2020 43rd International Conference on Telecommunications and Signal Processing : TSP 2020, Milan, Italy, July 7-9, 2020. Danvers : IEEE, 2020. p. 270-273 : ill.
https://doi.org/10.1109/TSP49548.2020.9163538 - Pärnamets, K., Udal, A., Koel, A., Pardy, T., Gyimah, N., Rang, T. Compact empirical model for droplet generation in a Lab-on-Chip cytometry system // IEEE Access (2022) vol. 10, p. 127708-127717.
https://doi.org/10.1109/ACCESS.2022.3226623 - Udal, A., Jürise, M., Kaugerand, J., Sell, R. COMSPECT : a compact model for green vegetation reflectance spectra in the 400–900 nm wavelength range // Proceedings of the Estonian Academy of Sciences (2020) 4, p. 277-286 : ill.
https://doi.org/10.3176/proc.2020.4.01 - Astrov, I., Udal, A., Molder, H. A trajectory control method for a strongly underactuated spherical underwater surveillance robot // 2021 IEEE 25th International conference on intelligent engineering systems (INES), 7-9 July 2021 : conference proceedings. Danvers : IEEE, 2021. p. 43–48.
https://doi.org/10.1109/INES52918.2021.9512931 - Astrov, I., Udal, A., Jaanus, M. A model-based adaptive control of an autonomous driving car for lane change maneuver // 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), September 27 - October 1, 2021, Opatija, Croatia : proceedings. Rijeka : MIPRO, 2021. p. 1330-1335 : ill.
http://www.mipro.hr/LinkClick.aspx?fileticket=RAMnkK6T5UQ%3d&tabid=196&language=hr-HR https://doi.org/10.23919/MIPRO52101.2021.9597195 - Astrov, I., Udal, A., Mõlder, H., Jalakas, T., Möller, T. Experimentally adjusted modelling and simulation technique for a catamaran autonomous surface vessel // International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022, Prague, Czech Republic, July 20-22, 2022. Piscataway : IEEE, 2022. 7 p. : ill.
https://doi.org/10.1109/ICECET55527.2022.9873069 - Udal, A., Jürise, M., Kaugerand, J., Sell, R. Easy to use empirical model for green vegetation reflection spectrum in VIS-NIR range // SPIE digital library., 2020. art. 115240H-1–14.
https://doi.org/10.1117/12.2570820 - Janson, K., Pihlak, R., Azad, S.P., Niazmand, B., Jervan, G., Raik, J. Handling of SETs on NoC links by exploitation of inherent redundancy in circular input buffers [Online resource] // BEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 2018. : IEEE, 2018. 4 p.: ill.
https://doi.org/10.1109/BEC.2018.8600989 - Udal, A., Riid, A., Jaanus, M., Pärnamets, K., Lokuta, M. Development and testing of a compact voice command recognition algorithm for limited complexity microcontroller devices // 2018 22nd International Conference Electronics : Palanga, Lithuania, 18-20 June 2018. Red Hook : IEEE, 2018. p. 1-4 : ill.
http://doi.org/10.1109/ELECTRONICS.2018.8443645 - Mõtus, L.; Teichmann, M.; Kangilaski, T.; Priisalu, J.; Kaugerand, J. Some issues in modelling comprehensive situation awareness // 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). [S.l.] : IEEE, 2019. p. 540–545 : ill.
http://doi.org/10.1109/SMC.2019.8914360 - Bahsi, H., Dieves, V., Kangilaski, T., Mõtus, L., Priisalu, J., Täks, E., Tammpuu, P., Taveter, K. et al. Mapping the information flows for the architecture of a nationwide situation awareness system : (Poster) // Proceedings 2019 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Las Vegas, NV, USA, 8-11 April 2019. Danvers : IEEE, 2019. p. 152–157.
https://doi.org/10.1109/COGSIMA.2019.8724167 - Janson, K., Pihlak, R., Azad, S.P., Niazmand, B., Jervan, G., Raik, J. AWAIT : an ultra-lightweight soft-error mitigation mechanism for network-on-chip links // 2018 13th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), Lille, France, July 9th-11th, 2018. Piscataway : IEEE, 2018. p. 1-6 : ill.
https://doi.org/10.1109/ReCoSoC.2018.8449374 - Udal, A., Kukk, V., Jaanus, M., Umbleja, K., Piho, G. Student behavior changes in Estonia revealed by e-learning technology // Digital Turn in Schools - Research, Policy, Practice : proceedings of ICEM 2018 Conference. Singapore : Springer, 2019. p. 83-90. (Lecture notes in educational technology).
https://doi.org/10.1007/978-981-13-7361-9_6 - Kreos, K., Täks, E., Tsap, V., Pappel, I., Draheim, D. On facilitating cross-border E-commerce through an automated VAT declaration system // 2019 6th International Conference on eDemocracy and eGovernment (ICEDEG 2019) : Quito, Ecuador, April 24–26, 2019 : conference proceeding. Danvers : IEEE, 2019. p. 56-63.
https://doi.org/10.1109/ICEDEG.2019.8734347 - Nogales, A., Täks, E., Taveter, K. Ontology modeling of the Estonian Traffic Act for self-driving buses // Information Management and Big Data : 5th International Conference : SIMBig 2018, Lima, Peru, September 3–5, 2018 : proceedings. Cham : Springer Nature Switzerland AG, 2019. p. 249-256. (Communications in computer and information science ; 898).
https://doi.org/10.1007/978-3-030-11680-4_24 - Jaanus, M., Umbleja, K., Udal, A., Pärnamets, K. Integrated labs for electrical engineering courses in competence based learning environment - practical experience // 2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings. [S.l.] : IEEE, 2019. 4 p. : ill.
https://doi.org/10.1109/PQ.2019.8818266 - Riid, A., Kaugerand, J., Ehala, J., Jaanus, M., Preden, J.-S. An application of a low-cost microwave radar to traffic monitoring [Online resource] // BEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 2018. : IEEE, 2018. 4 p.: ill.
https://doi.org/10.1109/BEC.2018.8600962 - Ševtšenko, E., Polyantchikov, I., Mahmood, K., Kangilaski, T., Norta, A., Karaulova, T., Perm, A. Collaborative project management framework for partner network initiation in machining domain [Online resource] // Proceedings of the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18). Cham : Springer, 2018. p. 215-233 : ill. (Advances in Intelligent Systems and Computing ; 864).
https://doi.org/10.1007/978-3-030-00612-9_19 https://link.springer.com/content/pdf/bfm%3A978-3-030-00612-9%2F1.pdf - Jürise, M., Udal, A., Kaugerand, J., Sell, R. Hyperspectral camera with polarized filter as modern supersensor device for cyber-physical systems [Online resource] // BEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 2018. : IEEE, 2018. 4 p.: ill.
https://doi.org/10.1109/BEC.2018.8600957 - Karaliunas, M., Pagalys, J., Jakštas, V., Udal, A. et al. Spectral properties of incoherent terahertz torch based on parabolic Ga(As,Bi)/AlGaAs quantum wells // Terahertz Emitters, Receivers, and Applications X : SPIE Optical Engineering + Applacations, 11-15 August 2019, San Diego, California, United States : proceedings, SPIE digital library (2019) vol. 11124
https://doi.org/10.1117/12.2528428 - Kaugerand, J., Ehala, J., Mõtus, L., Preden, J.-S. Time-selective data fusion for in-network processing in ad hoc wireless sensor networks // International journal of distributed sensor networks (2018) vol. 14, 11, p. 1-17 : ill.
https://doi.org/10.1177/1550147718811302 - Tepljakov, A., Riid, A., Pihlak, R., Vassiljeva, K., Petlenkov, E. Deep learning for detection of pavement distress using nonideal photographic images // 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). [S.l.] : IEEE, 2019. p. 195-200 : ill.
http://doi.org/10.1109/TSP.2019.8769086 - Pedai, A., Astrov, I., Udal, A., Sell, R. Single-Rate versus Three-Rate Neural Assisted Control Approaches for Coaxial Rotor Ducted Fan TUAV for Situation Awareness Applications // 2019 IEEE International Systems Conference (SysCon 2019), Orlando, FL, USA, April 8-11, 2019. Danvers : IEEE, 2019. p. 457−463 : ill.
https://doi.org/10.1109/SYSCON.2019.8836871 - Pedai, A., Astrov, I., Udal, A. Comparison of single-rate and two-rate neural control approaches for coaxial rotor/ducted-fan TUAV for situational awareness applications // 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY), 13-15 Sept. 2018 : proceedings. Danvers : IEEE, 2018. p. 63–68 : ill.
http://dx.doi.org/10.1109/SISY.2018.8524720 - Rannat, K., Keernik, H., Rigel, K. et al. Sea-effect snowfall case in the Baltic Sea region analysed by reanalysis, remote sensing data and convection-permitting mesoscale modelling // Geophysica (2018) vol. 53, 1, p. 65–91 : ill.
http://www.geophysica.fi/pdf/geophysica_2018_53_olsson.pdf - Astrov, I., Udal, A., Pedai, A., Sell, R. Simulink/MATLAB based comparison of neural and basic tracking control for an autonomous surface vessel for situation awareness applications // 2019 IEEE 19th International Symposium on Computational Intelligence and Informatics and 7th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics (CINTI-MACRo). [S.l.] : IEEE, 2019. p. 000105 - 000110 : ill.
- Astapov, S., Berdnikova, J., Ehala, J., Kaugerand, J., Preden, J.-S. Gunshot acoustic event identification and shooter localization in a WSN of asynchronous multichannel acoustic ground sensors // Multidimensional systems and signal processing (2018) vol. 29, 2, p. 563-595 : ill.
https://doi.org/10.1007/s11045-017-0479-7 - Köse, A., Tepljakov, A., Astapov, S., Draheim, D., Petlenkov, E., Vassiljeva, K. Towards a synesthesia laboratory : real-time localization and Visualization of a sound source for virtual reality applications // Journal of communications software and systems (2018) vol. 14, 1, p. 112–120 : ill.
https://doi.org/10.24138/jcomss.v14i1.410 - Pūkienė, S., Karaliūnas, M., Jasinskas, A., Udal, A. et al. Enhancement of photoluminescence of GaAsBi quantum wells by parabolic design of AlGaAs barriers // Nanotechnology (2019) vol. 30, 45, art. 455001, 11 p. : ill.
https://doi.org/10.1088/1361-6528/ab36f3