Deliverables Documents, reports (17) Training Strategy and Plan The deliverable will identify the target audience the training modules to be developed and the associated planning and scheduling of training development and quality control and reporting of initial courses Specification of AI methods for use case applications Specification of AI methods to provide use case applications with context awareness prediction and autonomous decision making to run on the FRACTAL AI platform This deliverable is linked to T53 Preliminary FRACTAL hardware node and support Preliminary developments for safety security lowpower and cognitive awareness support at hardware level partially integrated into the FRACTAL hardware nodes T31T33 Platform Specification (a) Specification of the FRACTAL platform capabilities and features This deliverable is linked to T21 Platform specification (b) Consolidated version of D21 with feedback received from the integration and evaluation efforts realized in WP7 and WP8 This deliverable is linked to T21 Methodological framework (a) Description of the methodology and workflow to adopt when using the FRACTAL platform This deliverable is linked to T22 Theoretical study of FRACTAL AI A theoretical study of the FRACTAL AI system from the point of view distributed learning and decision making including a comparison to related concepts eg federated and distilled learning and proposed decision making learning and data architectures for FRACTAL AI platform implementation This deliverable is linked to T51 Intermediate FRACTAL hardware node and support Intermediate developments for safety security lowpower and cognitive awareness support at hardware level partially integrated into the FRACTAL hardware nodes T31T33 Building Block Verification Plan into Verification Use Cases A combined report will be given on the verification plan of each building block into the use cases As an output from Task 71 a detailed description will be given on each use case by defining in particularThe building blocks to be tested on that verification use caseThe objective of the use case ie the desired functioning of the system beforeafter FRACTALThe state of the art in the field of the use caseThe main contributions expected from FRACTAL as regards the main pillar of the projectThe KPIs defined to evaluate the results of the implementation of the building blocks and the verification use cases Platform and building-blocks for Federated AI Specification of the platform for FRACTAL AI toolkits and custom and pretrained models for AIbased Algorithms developed in the other tasks This deliverable is linked to T52 Intermediate FRACTAL software node and services Intermediate developments for safety security lowpower and cognitive awareness services for Linux Kernel partially integrated into the FRACTAL software layers T34T36 Final FRACTAL hardware node and support Final solutions for safety security lowpower and cognitive awareness support at hardware level fully integrated into the FRACTAL hardware nodes T31T33 Data Management Plan (DMP) The DMP will provide an analysis of the main elements of the data management policy that will be used by the applications with regard to all the datasets that will be generated by the project The DMP is not a fixed document but evolves if necessary during the lifespan of the project According to the Guidelines on Data Management in Horizon 2020 the DMP should address data set reference and name data set description standards and metadata data sharing and archiving and preservation including storage and backup on a dataset by dataset basis and should reflect the current status of reflection within the consortium about the data that will be produced Web presence and periodic update This deliverable will provide publicly available project information including an introduction to the project and objectives the partners involved the expected results and the impact the results will have on the targeted industries Publicly available deliverables will be made available for download Additionally it will include another webrelated presence such as Twitter page and LinkedIn project page FRACTAL processing node design and implementation This is the software design and implementation of the edge processing node including a fractal configuration and features to enable scalability in the platform As a result an opensource software implementation is obtained It is directly related to task 61 Project Handbook The project handbook constitutes a set of project templates explanations on the project management process review process quality checks meeting organization which is communicated to all partners Delivered by T11 Preliminary FRACTAL software node and services Preliminary developments for safety security lowpower and cognitive awareness services for Linux Kernel partially integrated into the FRACTAL software layers T34T36 Other (2) Press kit (2) 1st update of presentation brochure and leaflet Press kit (1) This deliverable will provide the first iteration of projectspecific materials to summarize objectives target audience technology results and expected impact from the project for industries targeted by FRACTAL Publications Peer reviewed articles (4) EDISON: An Edge-Native Method and Architecture for Distributed Interpolation Author(s): Lauri Lovén, Tero Lähderanta, Leena Ruha, Ella Peltonen, Ilkka Launonen, Mikko J. Sillanpää, Jukka Riekki, Susanna Pirttikangas Published in: Sensors, Issue 21/7, 2021, Page(s) 2279, ISSN 1424-8220 Publisher: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/s21072279 A Triple-Mode Cellular IoT SoC Achieving −136.8-dBm eMTC Sensitivity Author(s): Stefan Lippuner, Mauro Salomon, Matthias Korb, Michael Gautschi, Thomas Dellsperger, Stefan Altorfer, Jurgen Rogin, Samuel Willi, David Tschopp, Benjamin Weber, Qiuting Huang Published in: IEEE Solid-State Circuits Letters, Issue 3, 2020, Page(s) 418-421, ISSN 2573-9603 Publisher: IEEE DOI: 10.1109/lssc.2020.3025033 A dark and stormy night: Reallocation storms in edge computing Author(s): Lauri Lovén, Ella Peltonen, Leena Ruha, Erkki Harjula & Susanna Pirttikangas Published in: EURASIP Journal on Wireless Communications and Networking, Issue Article number: 86, 2022, ISSN 1687-1499 Publisher: SpringerOpen DOI: 10.1186/s13638-022-02170-y Research and Education Towards Smart and Sustainable World Author(s): Jukka Riekki, Aarne Mammela Published in: IEEE Access, Issue 9, 2021, Page(s) 53156-53177, ISSN 2169-3536 Publisher: Institute of Electrical and Electronics Engineers Inc. DOI: 10.1109/access.2021.3069902 Conference proceedings (4) The ECSEL FRACTAL Project: A Cognitive Fractal and Secure edge based on a unique Open-Safe-Reliable-Low Power Hardware Platform Author(s): Aizea Lojo, Leire Rubio, Jesus Miguel Ruano, Tania Di Mascio, Luigi Pomante, Enrico Ferrari, Ignacio Garcia Vega, Frank K. Gurkaynak, Mikel Labayen Esnaola, Vanessa Orani, Jaume Abella Published in: 2020 23rd Euromicro Conference on Digital System Design (DSD), 2020, Page(s) 393-400, ISBN 978-1-7281-9535-3 Publisher: IEEE DOI: 10.1109/dsd51259.2020.00069 Situation Awareness for Autonomous Vehicles Using Blockchain-Based Service Cooperation Author(s): Huong Nguyen, Tri Nguyen, Teemu Leppänen, Juha Partala & Susanna Pirttikangas Published in: In: Franch, X., Poels, G., Gailly, F., Snoeck, M. (eds) Advanced Information Systems Engineering. CAiSE 2022. Lecture Notes in Computer Science, Issue vol 13295, 2022, Page(s) 501-516 Publisher: Springer, Cham DOI: 10.1007/978-3-031-07472-1_29 Weathering the Reallocation Storm: Large-Scale Analysis of Edge Server Workload Author(s): Lauri Loven, Ella Peltonen, Erkki Harjula, Susanna Pirttikangas Published in: 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2021, Page(s) 317-322, ISBN 978-1-6654-1526-2 Publisher: IEEE DOI: 10.1109/eucnc/6gsummit51104.2021.9482593 Security, Reliability and Test Aspects of the RISC-V Ecosystem Author(s): Jaume Abella, Sergi Alcaide, Jens Anders, Francisco Bas, Steffen Becker, Elke De Mulder, Nourhan Elhamawy, Frank K. Gurkaynak, Helena Handschuh, Carles Hernandez, Mike Hutter, Leonidas Kosmidis, Ilia Polian, Matthias Sauer, Stefan Wagner, Francesco Regazzoni Published in: 2021 IEEE European Test Symposium (ETS), 2021, Page(s) 1-10, ISBN 978-1-6654-1849-2 Publisher: IEEE DOI: 10.1109/ets50041.2021.9465449 Thesis dissertations (1) Spatial dependency in edge-native artificial intelligence Author(s): Lovén, Lauri Published in: Acta Universitatis Ouluensis. C, Technica [Doctoral Dissertation], Issue 805, 2021, ISBN 978-952-62-3087-0 Publisher: University of Oulu Other (1) Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Author(s): Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh, Juha Partala, Alfonso González-Gil, Ester Sola, Iñigo Angulo, Madhusanka Liyanage, Teemu Leppänen, Tri Nguyen, Víctor Casamayor Pujol, Panos Kostakos, Mehdi Bennis, Sasu Tarkoma, Schahram Dustdar, Susanna Pirttikangas, Jukka Riekki Published in: 2022 Publisher: arXiv DOI: 10.48550/arxiv.2205.01423 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
