Journal papers

  1. J. Ormanis, V. Medvedevs, A. Sevcenko, V. Aristov, V. Abolins, A. Elsts. Dataset on the Human Body as a Signal Propagation Medium for Body Coupled Communication. Data in Brief, 2023 https://doi.org/10.1016/j.dib.2023.109892

  2. V. Aristov, A. Elsts. Human Body as a Signal Transmission Medium for Body-Coupled Communication: Galvanic-Mode Models. Electronics, 2023, 12(21), 4550. [HTML] https://doi.org/10.3390/electronics12214550

  3. D. Lapsa, R. Janeliukstis, A. Elsts. Adaptive Signal-to-Noise Ratio Indicator for Wearable Bioimpedance Monitoring. Sensors, 2023, 23(20), 8532. [HTML] https://doi.org/10.3390/s23208532

  4. A. Kalinovskis, V. Stepanovs, A. Ancans, A. Elsts. ETAM: Next Generation Event Timer for Picosecond-Precision Time and Amplitude Measurements. Sensors, 23(14), 6380. [HTML] https://doi.org/10.3390/s23146380

  5. G. Oikonomou, S. Duquennoy, A. Elsts, J. Eriksson, Y. Tanaka, N. Tsiftes. The Contiki-NG open source operating system for next generation IoT devices, SoftwareX, Elsevier, 2022, [HTML] https://doi.org/10.1016/j.softx.2022.101089

  6. A. Elsts, R. McConville. Are Microcontrollers Ready for Deep Learning-Based Human Activity Recognition? Electronics, 2021, 10(21), 2640. [PDF] https://doi.org/10.3390/electronics10212640

  7. C. Orfanidis, A. Elsts, P. Pop, X. Fafoutis. TSCH Evaluation under Heterogeneous Mobile Scenarios IoT 2, no. 4 (2021): 656-668. [PDF] https://doi.org/10.3390/iot2040033

  8. M. Lulla, A. Rutkovskis, A. Slavinska, A. Vilde, A. Gromova, M. Ivanovs, A. Skadins, R. Kadikis, A. Elsts. Hand-Washing Video Dataset Annotated According to the World Health Organization’s Hand-Washing Guidelines. Data. 2021; 6(4):38. [PDF] https://doi.org/10.3390/data6040038

  9. N. Barkovskis, K. Ozols, A. Elsts. Survey of Low-Power Wireless Network Technologies for the Internet of Things, Automatic Control and Computer Sciences, 2021, Vol. 55, No. 2, pp. 177–194. [PDF] https://doi.org/10.3103/S0146411621020024

  10. R. Piyare, G. Oikonomou, A. Elsts. TSCH for Long Range Low Data Rate Applications, IEEE Access, 2020, 8 (2020), pp. 228754-228766. [PDF] https://doi.org/10.1109/ACCESS.2020.3046769

  11. A. Elsts. TSCH-Sim: Scaling Up Simulations of TSCH and 6TiSCH Networks, Sensors 2020, 20, 5663. [PDF] https://doi.org/10.3390/s20195663

  12. A. Elsts, N. Twomey, R. McConville, and I. Craddock. Energy-efficient activity recognition framework using wearable accelerometers, Elsevier Journal of Network and Computer Applications, 2020, 168, p.102770. [PDF] https://doi.org/10.1016/j.jnca.2020.102770

  13. A. Elsts, S. Kim, H. Kim, C. Kim. An Empirical Survey of Autonomous Scheduling Methods for TSCH, IEEE Access, 2020, 8, pp. 67147-67165. [PDF] https://doi.org/10.1109/ACCESS.2020.2980119

  14. P. Zalewski, L. Marchegiani, A. Elsts, R. Piechocki, I. Craddock and X. Fafoutis. From Bits of Data to Bits of Knowledge—An On-Board Classification Framework for Wearable Sensing Systems, Sensors, 2020, 20(6), 1655. [PDF] https://doi.org/10.3390/s20061655

  15. A. Elsts, X. Fafoutis, G. Oikonomou, R. Piechocki and I. Craddock. TSCH Networks for Health IoT: Design, Evaluation and Trials in the Wild, ACM Transactions on Internet of Things, 2020, 1(2), pp.1-27. [PDF] https://doi.org/10.1145/3366617

  16. A. Elsts, X. Fafoutis, P. Woznowski, E. Tonkin, G. Oikonomou, R. Piechocki and I. Craddock. Enabling Healthcare in Smart Homes: The SPHERE IoT Network Infrastructure, IEEE Communications Magazine, 2018. [PDF] https://doi.org/10.1109/MCOM.2017.1700791

  17. N. Twomey, T. Diethe, X. Fafoutis, A. Elsts, R. McConville, P. Flach and I. Craddock. A Comprehensive Study of Activity Recognition using Accelerometers. MDPI Informatics, 2018. [PDF] https://doi.org/10.3390/informatics5020027

  18. X. Fafoutis, A. Elsts, R. Piechocki and I. Craddock. Experiences and Lessons Learned from Making IoT Sensing Platforms for Large-Scale Deployments, IEEE Access, 2018. https://doi.org/10.1109/ACCESS.2017.2787418

  19. A. Elsts, X. Fafoutis, S. Duquennoy, G. Oikonomou, R. Piechocki and I. Craddock. Temperature-Resilient Time Synchronization for the Internet of Things, IEEE Transactions on Industrial Informatics, 2018. [PDF] https://doi.org/10.1109/TII.2017.2778746

  20. X. Fafoutis, A. Vafeas, B. Janko, R. S. Sherratt, J. Pope, A. Elsts, E. Mellios, G. Hilton, G. Oikonomou, R. Piechocki and I. Craddock. Designing Wearable Sensing Platforms for Healthcare in a Residential Environment. EAI Endorsed Transactions on Pervasive Health and Technology, 17(12), 2017. [PDF] https://doi.org/10.4108/eai.7-9-2017.153063

  21. A. Elsts, A. Pentjuss and E. Stalidzans, SpaceScanner: COPASI wrapper for automated management of global stochastic optimisation experiments, Bioinformatics, Oxford University Press, 2017, http://doi.org/10.1093/bioinformatics/btx363

  22. V. Komasilovs, A. Pentjuss, A. Elsts and E. Stalidzans, Total enzyme activity constraint and homeostatic constraint impact on the optimization potential of a kinetic model, Biosystems, Elsevier, 2017, https://doi.org/10.1016/j.biosystems.2017.09.016

  23. A. Elsts, A. Mednis and L. Selavo. Bayesian Network Approach to Vehicle Mode Monitoring Using Embedded System with 3-axis Accelerometer, International Journal of Imaging & Robotics (ISSN 2231-525X), Vol 13(1), 2014.

  24. G. Strazdins, A. Elsts, K. Nesenbergs and L. Selavo. Wireless sensor network operating system design rules based on real-world deployment survey, Journal of Sensor and Actuator Networks, Vol 2(3), pp. 509-556, 2013.

 

Conference and workshop papers

  1. D. Lapsa, R. Janeliukštis, A. Elsts. Electrode Comparison for Heart Rate Detection via Bioimpedance Measurements, 2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW), IEEE. [PDF] https://doi.org/10.1109/MTTW56973.2022.9942569

  2. A. Elsts, M. Ivanovs, R. Kadikis, O. Sabelnikovs. CNN for Hand Washing Movement Classification: What Matters More-the Approach or the Dataset?, 2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA), IEEE. [PDF] https://doi.org/10.1109/IPTA54936.2022.9784153

  3. J. Ormanis, V. Medvedevs, V. Abolins, G. Gaigals, A. Elsts. Signal Loss in Body Coupled Communication: Guide for Accurate Measurements, 2022 Workshop on Benchmarking Cyber-Physical Systems and Internet of Things (CPS-IoTBench), IEEE. [PDF]

  4. C. Bae, S. Yang, M. Baddeley, A. Elsts, I. Haque. BlueTiSCH: A Multi-PHY Simulation of Low-Power 6TiSCH IoT Networks, IEEE Globecom 2022. [PDF]

  5. O. Zemlanuhina, M. Lulla, A. Rutkovskis, A. Slavinska, A. Vilde, A. Melbarde-Kelmere, A. Elsts, M. Ivanovs, O. Sabelnikovs. Influence of different types of real-time feedback on hand washing quality assessed with neural networks/simulated neural networks. In SHS Web of Conferences (Vol. 131, p. 02008), 2022. EDP Sciences. [PDF]

  6. J. Ormanis, A. Elsts. Towards Body Coupled Communication for eHealth: Experimental Study of Human Body Frequency Response. In 2020 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 1-7). [PDF]

  7. A. Vafeas, M. I. Biswas, X. Fafoutis, A. Elsts, I. Craddock, R. Piechocki, G. Oikonomou. Wearable Devices for Digital Health: The SPHERE Wearable 3. Embedded Wireless Systems and Networks (EWSN): On-Body Sensor Networks (OBSN 2020). [PDF]

  8. A. Elsts, J. Pope, X. Fafoutis, R. Piechocki, G. Oikonomou. Instant: A TSCH Schedule for Data Collection from Mobile Nodes. EWSN 2019, Beijing, February 2019. [PDF]

  9. A. Mavromatis, G. Z. Papadopoulos, A. Elsts, N. Montavont, R. Piechocki, T. Tryfonas, G. Oikonomou and X. Fafoutis. Adaptive Guard Time for Energy-Efficient IEEE 802.15.4 TSCH Networks. IFIP WWIC, Bologna, Italy, June 2019. [PDF]

  10. A. Elsts, E. Mitskas, G. Oikonomou. Distributed Ledger Technology and the Internet of Things: A Feasibility Study. The 1st Workshop on Blockchain-enabled Networked Sensor Systems (BlockSys), Shenzhen, November 2018. [PDF] (Best Paper Award)

  11. X. Fafoutis, A. Elsts, A. Vafeas, G. Oikonomou, R. Piechocki. On Predicting the Battery Lifetime of IoT Devices: Experiences from the SPHERE Deployments. 7th International Workshop on Real-World Embedded Wireless Systems and Networks (RealWSN), Shenzhen, November 2018. [PDF]

  12. X. Fafoutis, A. Elsts, G. Oikonomou, and R. Piechocki. SPHERE deployment manager: a tool for deploying IoT sensor networks at large scale. In Proceedings of the 7th International Conference on Ad Hoc Networks and Wireless (AdHoc-NOW), St. Malo, France, September 2018.

  13. A. Vafeas, A. Elsts, J. Pope, X. Fafoutis, G. Oikonomou, R. Piechocki and I. Craddock. Energy-Efficient, Noninvasive Water Flow Sensor. In Proceedings of 4th IEEE International Conference on Smart Computing (SMARTCOMP), Taormina, Italy, June 2018.

  14. J. Pope, A. Vafeas, A. Elsts, G. Oikonomou, R. Piechocki, I. Craddock. An Accelerometer Lossless Compression Algorithm and Energy Analysis for IoT Devices, IoT-Health 2018, IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

  15. A. Elsts, R. McConville, X. Fafoutis, N. Twomey, R. Piechocki, R. Santos-Rodriguez and I. Craddock. On-Board Feature Extraction from Acceleration Data for Activity Recognition, EWSN 2018. [PDF]

  16. X. Fafoutis, A. Elsts, G. Oikonomou, R. Piechocki and I. Craddock. Adaptive Static Scheduling in IEEE 802.15.4 TSCH Networks, 2018 IEEE 4th World Forum on Internet of Things (WF-IoT).

  17. X. Fafoutis, L. Marchegiani, A. Elsts, J. Pope, R. Piechocki and I. Craddock. Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning, 2018 IEEE 4th World Forum on Internet of Things (WF-IoT).

  18. A. Elsts, G. Oikonomou, X. Fafoutis and R. Piechocki. Internet of Things for Smart Homes: Lessons Learned from the SPHERE Case Study, 1st Global Internet of Things Summit, 2017. [PDF]

  19. A. Elsts, X. Fafoutis, G. Oikonomou and R. Piechocki. Adaptive Channel Selection in IEEE 802.15.4 TSCH Networks, 1st Global Internet of Things Summit, 2017. [PDF]

  20. S. Duquennoy, A. Elsts, B. Al Nahas, G. Oikonomou. TSCH and 6TiSCH for Contiki: Challenges, Design and Evaluation, DCOSS, 2017. [PDF]

  21. A. Elsts, X. Fafoutis, J. Pope, G. Oikonomou, R. Piechocki and I. Craddock. Scheduling High-Rate Unpredictable Traffic in IEEE 802.15.4 TSCH Networks, DCOSS, 2017. [PDF]

  22. A. Elsts, S. Duquennoy, X. Fafoutis, G. Oikonomou, R. Piechocki and I. Craddock, Microsecond-Accuracy Time Synchronization Using the IEEE 802.15.4 TSCH Protocol, IEEE LCN 2016. [PDF]

  23. A. Elsts. Source-Node Selection to Increase the Reliability of Sensor Networks for Building Automation. EWSN 2016. [PDF] [presentation]

  24. A. Elsts, F. Hassani Bijarbooneh, M. Jacobsson, and K. Sagonas, ProFuN TG: A Tool for Programming and Managing Performance-Aware Sensor Network Applications. IEEE SenseApp, 2015. [PDF]

  25. A. Elsts, Hjalmar Wennerstrom, and Christian Rohner. IEEE 802.15.4 Channel Diversity in an Outdoor Environment. RealWSN, 2015. [PDF]

  26. A. Elsts, F. Hassani Bijarbooneh, M. Jacobsson, and K. Sagonas, Enabling Design of Performance-Controlled Sensor Network Applications Through Task Allocation and Reallocation. In proceedings of DCOSS 2015 (presented in the IEEE 7th International Workshop on Performance Control in Wireless Sensor Networks). [PDF]

  27. A. Elsts and L. Selavo, Improving the Usability of Wireless Sensor Network Operating Systems, 2013 Federated Conference on Computer Science and Information Systems (FedCSIS). [PDF]

  28. A. Elsts, J. Judvaitis, L. Selavo, SEAL: A Domain-Specific Language for Novice Wireless Sensor Network Programmers, 39th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2013), Santander, Spain, September 4-6, 2013, pp. 220-227. [PDF]

  29. A. Elsts and L. Selavo, A User-Centric Approach to Wireless Sensor Network Programming Languages, Proceedings of Third International Workshop on Software Engineering for Sensor Network Applications (SESENA12), Zurich, Switzerland, pp. 29-30, June 2, 2012. [PDF]

  30. A. Mednis, A. Elsts, and L. Selavo. Embedded Solution for Road Condition Monitoring Using Vehicular Sensor Networks, in Proceedings of the 6th International Conference on Application of Information and Communication Technologies (AICT 2012), pp. 248-252, IEEE, 2012. [PDF]

  31. A. Elsts, R. Balass, J. Judvaitis and L. Selavo, SAD: Wireless Sensor Network System for Microclimate Monitoring in Precision Agriculture, in Proceedings of the 5-th international scientific conference Applied information and communication technologies (AICT 2012), Jelgava, Latvia, April 26-27, ISBN 978-9984-48-065-7, pp. 271-281, 2012. [PDF]

  32. A. Elsts, R. Balass, J. Judvaitis, R. Zviedris, G. Strazdins, L. Selavo and A. Mednis, SADmote: A Robust and Cost-Effective Device for Environmental Monitoring, in Proceedings of the conference on Architecture of Computing Systems (ARCS 2012), pp. 225-237, Springer-Verlag Berlin Heidelberg 2012. [PDF]

 

Book chapters

  1. P. Woznowski, A. Burrows, T. Diethe, X. Fafoutis, J. Hall, S. Hannuna, M. Camplani, N. Twomey, M. Kozlowski, B. Tan, N. Zhu, A. Elsts, A. Vafeas, A. Paiement, L. Tao, M. Mirmehdi, T. Burghardt, D. Damen, P. Flach, R. Piechocki, I. Craddock and G. Oikonomou. SPHERE: A Sensor Platform for Healthcare in a Residential Environment. In Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT Solutions, pp 315-333, Springer, 2017.

 

Poster and demo abstracts, technical reports, and national-level workshop papers

  1. A. Elsts, Uniswap v3 Liquidity Math, Technical Note, 2021. [PDF] http://dx.doi.org/10.2139/ssrn.4575232

  2. A. Elsts, Large Scale Wireless Network Simulations with TSCH-Sim, EWSN 2021. [PDF] https://dl.acm.org/doi/abs/10.5555/3451271.3451295

  3. M. Ivanovs, R. Kadikis, M. Lulla, A. Rutkovskis, A. Elsts, Automated Quality Assessment of Hand Washing Using Deep Learning, arXiv preprint, 2020. [PDF]

  4. T. Yamagata, R. Santos-Rodríguez, R. McConville, A. Elsts. Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback, arXiv preprint, 2019. [PDF]

  5. A. Elsts, T. Burghardt, D. Byrne, M. Camplani, D. Damen, X. Fafoutis, S. Hannuna, W. Harwin, M. Holmes, B. Janko, V. Ponce Lopez, A. Masullo, M. Mirmehdi, G. Oikonomou, R. Piechocki, R. S. Sherratt, E. Tonkin, N. Twomey, A. Vafeas, P. Woznowski, I. Craddock. A Guide to the SPHERE 100 Homes Study Dataset, arXiv preprint, 2018. [PDF]

  6. X. Fafoutis, A. Elsts, A. Vafeas, G. Oikonomou and R. Piechocki. Demo: SPES-2 – A Sensing Platform for Maintenance-Free Residential Monitoring, EWSN 2017. [PDF]

  7. A. Elsts, X. Fafoutis, A. Adeleke, G. Oikonomou, R. Piechocki, S. Duquennoy, A. Liñán, M. Fàbregas. Competition: Adaptive Time-Slotted Channel Hopping, EWSN 2017. [PDF]

  8. A. Mavromatis, G. Papadopoulos, X. Fafoutis, A. Elsts, G. Oikonomou and T. Tryfonas, Impact of Guard Time Length on IEEE 802.15.4e TSCH Energy Consumption. IEEE SECON 2016. [PDF]

  9. A. Elsts, F. Hassani Bijarbooneh, M. Jacobsson, and K. Sagonas, ProFuN TG: Programming Sensornets with Task Graphs for Increased Reliability and Energy-Efficiency. Accepted in IEEE Local Computer Networks (LCN 2015) Demo session.

  10. A. Elsts, Optimal Task Allocation in Sensor and Actuator Networks, SNCNW’15, Karlstad, May 28-29, 2015.

  11. A. Elsts and Konstantinos Sagonas, ProFuN TG: A Tool for Programming and Managing Dependable Sensor Network Applications. Technical report, Uppsala University, 2015. [PDF]

  12. A. Elsts, F. Hassani Bijarbooneh, M. Jacobsson, and K. Sagonas, Demo Abstract: ProFuN TG: A Tool Using Abstract Task Graphs to Facilitate the Development, Deployment and Maintenance of Wireless Sensor Network Applications, in the 12th European Conference on Wireless Sensor Networks (EWSN’15), Porto, Portugal, 2015.
    [Video] [PDF] [Poster]

  13. A. Elsts and E. Ngai, A Case For Node-Local Adaptations in Wireless Sensor Networks, SNCNW’14, Västerås, June 2-3, 2014.
    Poster: [PDF]

  14. J. Judvaitis, A. Elsts, L. Selavo, Demo Abstract: SEAL-Blockly: Sensor Network Visual Programming Using a Web Browser, 10th European Conference on Wireless Sensor Networks (EWSN 2013), Poster and Demo Proceedings, Ghent, Belgium, 2013.
    Poster abstract: [PDF]
    Poster: [PDF]

  15. A. Elsts, J. Judvaitis, L. Selavo, Poster Abstract: SEAL: An Easy-to-use Sensor Node Application Development System, 9th European Conference on Wireless Sensor Networks (EWSN 2012), Poster and Demo Proceedings, pp. 31-32, Trento, Italy, 2012.
    Poster abstract: [PDF]
    Poster: [JPG]

  16. A. Elsts, G. Strazdins, A. Vihrov, and L. Selavo, Design and Implementation of MansOS: a Wireless Sensor Network Operating System, Scientific Papers, University of Latvia, Vol. 787, pp. 79-105, 2012. [PDF]

  17. G. Strazdins, A. Elsts, and L. Selavo, MansOS: easy to use, portable and resource efficient operating system for networked embedded devices (poster abstract). In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys’10), ACM, pp. 427-428, 2010. [PDF]
    Poster: [PDF]

  18. R. Zviedris, A. Elsts, G. Strazdins, A. Mednis and L. Selavo, LynxNet: Wild Animal Monitoring Using Sensor Networks (poster abstract). In Lecture Notes in Computer Science, 2010, Vol. 6511, Real-World Wireless Sensor Networks (REALWSN’10), Pages 170-173, 2010, Springer. [PDF]

Ph.D. thesis

  • A Framework to Facilitate Wireless Sensor Network Application Development, 2013, University of Latvia. [PDF]