Groundbreaking Results Combining Blockchain Technology and Control Engineering

Blockchain

The following article presents groundbreaking scientific research results combining for the first time blockchain technology and control engineering: Geir Hovland and Jan Kučera, “Nonlinear Feedback Control and Stability Analysis of a Proof-of-Work Blockchain”, MIC, Vol. 38, No.4 , 2017.

As a world’s first the two fields of blockchain technology and control engineering have been combined. This paper has the potential to create a whole new research area within these two disciplines. The controller presented in the paper has been implemented in a public blockchain project and has already demonstrated remarkable results.

Accepted Scientific Publications 2017

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Journal Papers:
J1: Aksel Sveier, Adam Leon Kleppe, Lars Tingelstad and Olav Egeland, Object Detection in Point Clouds Using Conformal Geometric Algebra, Advances in Applied Clifford Algebras, Feb. 2017.

J2: Lothar Wöll, Georg Jacobs and Achim Feldermann, Sensitivity Analysis on the Reliability of an Offshore Winch Regarding Selected Gearbox Parameters, MIC, Vol 38, No. 2, 2017.

J3: Daniel Hagen, Witold Pawlus, Morten K. Ebbesen and Torben O. Andersen, Feasibility Study of Electromechanical Cylinder Drivetrain for Offshore Mechatronic Systems, MIC, Vol 38, No. 2, 2017.

J4: Sondre Sanden Tørdal and Geir Hovland, Relative Vessel Motion Tracking using Sensor Fusion, Aruco Markers, and MRU Sensors, MIC, Vol 38, No. 2, 2017.

J5: Grigoris Tsagkatakis, Baltasar Beferull-Lozano, Panagiotis Tsakalides, “Singular spectrum-based matrix completion for time series recovery and prediction”, EURASIP Journal on Advances in Signal Processing.

J6: R. Schlanbusch, E. Oland and E. Bechhoefer, “Condition Monitoring Technologies for Steel Wire Ropes – A Review”. International Journal of Prognostics and Health Management, vol. 8(1), p 14.

J7: Espen Oland, Rune Schlanbusch and Shaun Falconer, “Condition Monitoring Technologies for Synthetic Fiber Ropes – a Review”. International Journal of Prognostics and Health Management, 2017: Vol 8 (2). ISBN 2153-2648-, 2017 014.

J8: Lars Tingelstad, Olav Egeland, “Motor Estimation using Heterogeneous Sets of Objects in Conformal Geometric Algebra”, Advances in Applied Clifford Algebras, 2017.

J9: Geir Hovland and Jan Kučera, Nonlinear Feedback Control and Stability Analysis of a Proof-of-Work Blockchain, MIC, Vol 38, No. 4, 2017.

Conference Papers:
C1: Torstein Myhre and Olav Egeland, “Estimation of Crane Load Parameters During Tracking Using Expectation-Maximization”, American Control Conference, Seattle, May 24-26, 2017.

C2: Sondre Sanden Tørdal, Witold Pawel Pawlus and Geir Hovland, “Real-time 6-DOF Vessel-to-Vessel Motion Compensation Using Laser Tracker”, MTS/IEEE OCEANS Conference, 2017, Aberdeen.

C3: Sondre Sanden Tørdal and Geir Hovland, “Inverse Kinematic Control of an Industrial Robot used in Vessel-to-Vessel Motion Compensation”, Proc. 25th Mediterranean Conference on Control and Automation (MED), July 2017.

C4: Joacim Dybedal and Geir Hovland, “Optimal Placement of 3D Sensors Considering Range and Field of View”, Proc. IEEE/ASME Advanced Intelligent Mechatronics (AIM), Munich, Germany, July 2017.

C5: David A. Anisi, Svein Gjermund Tveide and Valentinos Kongezos, “State classification for autonomous gas sample taking using deep convolutional neural networks”, Proc. 25th Mediterranean Conference on Control and Automation (MED), July 2017.

C6: Olav Heng and Sondre Sanden Tørdal, “Calibration of the Norwegian Motion Laboratory using Conformal Geometric Algebra”, in Computer Graphics International, ENGAGE Workshop, 2017.

C7: Erind Ujkani, Petter Sait Eppeland, Atle Aalerud and Geir Hovland, “Real-Time Human Collision Detection for Industrial Robot Cells”, MFI 2017, November 16-18, South Korea

C8: Martin Hemmer, Tor Inge Waag and Kjell G. Robbersmyr, “A Review of Methods for Condition Monitoring of Large, Slow-Rotating Bearings”, University of Central Lancashire, COMADEM 2017.

C9: Rune Schlanbusch, Eric Bechhoefer and Thomas J.J. Meyer, “Low Computation Acoustic Emissions Structural Health Monitoring Trough Analog Signal Pre-Processing”, Annual Conference of the Prognostics and Health Management Society 2017.

C10: Sondre Nordås, Morten K. Ebbesen and Torben O. Andersen, “Feasibility Study of a digital hydraulic winch drive system”, The 9th Work-shop on Digital Fluid Power, Aalborg, Denmark, Sept. 2017.

C11: Sondre Nordås, Morten K. Ebbesen and Torben O. Andersen, “The potential of a digital hydraulic winch drive system”, The 9th Work-shop on Digital Fluid Power, Aalborg, Denmark, Sept. 2017.

C12: Viktor Donkov,Henrik Clemmensen Pedersen, Morten Kjeld Ebbesen and Torben O. Andersen, “Applying Digital Hydraulic Technology on a Knuckle Boom Crane”, The 9th Work-shop on Digital Fluid Power, Aalborg, Denmark, Sept. 2017.

C13: Zbigniew Mikulski, Vidar Hellum and Tom Lassen, “Modeling of the fatigue damage evolutions in welded joints “, International Conference on Ocean, Offshore and Arctic Engineering (OMAE)

C14: L. Ben Saad, C. Asensio-Marco and B. Beferull-Lozano, “Topology design to reduce energy consumption of distributed graph filtering in WSN, in 5th IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP),Montreal, Canada, November 2017.

C15: L. Ben Saad, T. Weerasinghe and B. Beferull-Lozano, “Topology Design to Increase Network Lifetime in WSN for Graph Filtering in Consensus Processes” in 25th European Signal Processing Conference (EUSIPCO), Kos Greece, August 2017.

C16: B. Zaman, L.M. López-Ramos, D. Romero, B. Beferull-Lozano, “Online Topology Estimation for Vector Autoregressive Processes in Data Networks”, IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017.

C17: M. Ramezani, B. Beferull-Lozano, “Graph Recursive Least Squares Filter for Topology Inference in Causal Data Processes”, IEEE International Conference on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017.

C18: M. Hemmer, T.I. Waag., “A Comparison of Acoustic Emission and Vibration Measurements for Condition Monitoring of an Offshore Drilling Machine”. In Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. ISBN 978-1-936263-26-4.

C19: Shaun Falconer, Andreas Gromsrud, Espen Oland and Geir Grasmo, “Preliminary Results on Condition Monitoring of Fiber Ropes using Automatic Width and Discrete Length Measurements”. Proceedings of the Annual Conference of the Prognostics and Health Management Society 2017. ISBN 978-1-936263-26-4.

C20: Oland, E., E. Bossolini, O. W. Nielsen, M. P. Sørensen, “Modelling the thermal properties of large diameter fibre ropes”. In Proceedings of the OIPEEC conference. La Rochelle, France.

C21: L. Wöll, G. Jacobs, A. Feldermann, S. Neumann, F. Straßburger, “Influence of wave height on the reliability of an offshore winch”. Antriebstechnisches Kolloquium 2017, ATK 2017, Aachen, Germany, 7 Mar 2017 – 8 Mar 2017.

C22: T. Lassen and Z. Mikulski, “Fatigue methodology for life predictions for the wheel-rail contact area in large offshore turret bearings”, 11th ICMFF.

Scientific Publications 2016

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Journal Papers:
J8: T. Lassen and Z. Mikulski, “Fatigue methodology for life predictions for the wheel-rail contact area in large offshore turret bearings”, Journal of Fracture and Structural Integrity.

J7: Eric Bechhoefer, Rune Schlanbusch and Tor Inge Waag , “Techniques for Large, Slow Bearing Fault Detection”, International Journal of Prognostics and Health Management, ISSN 2153-2648.

J6: Tingelstad, Lars; Egeland, Olav. (2016) Automatic Multivector Differentiation and Optimization. Advances in Applied Clifford Algebras.

J5: Tingelstad, Lars; Egeland, Olav. (2016) Motor Estimation using Heterogeneous Sets of Objects in Conformal Geometric Algebra. Advances in Applied Clifford Algebras.

J4: G. Tsagkatakis, B. Beferull-Lozano, P. Tsakalides. “Singular Spectrum based Matrix Completion for Time-Series Recovery and Prediction”, EURASIP Journal on Advances in Signal Processing, Special Issue on Signal Processing for Big Data, June 2016.

J3: S.S. Tørdal, G. Hovland and I. Tyapin, “Efficient Implementation of Inverse Kinematics on a 6-DOF Industrial Robot using Conformal Geometric Algebra”, Advances in Applied Clifford Algebras, Springer, 2016.

J2: T.A. Myhre and O. Egeland, “Tracking a Swinging Target with a Robot Manipulator using Visual Sensing”, MIC, Vol. 37, No. 1, 2016, pp. 53-62.

J1: S. Neumann, L. Wöll, A. Feldermann, F. Strassburger and G. Jacobs, “Modular System Modeling for Quantitative Reliability Evaluation of Technical Systems”, MIC, Vol. 37, No. 1, 2016, pp. 19-29.

Conference Papers:
C8: T. Lassen and Z. Mikulski, “Fatigue methodology for life predictions for the wheel-rail contact area in large offshore turret bearings”, proceedings of the 11th ICMFF, Sevilla, Spain.

C7: Eric Bechhoefer and Rune Schlanbusch, “Fault Detection on Large Slow Bearings”, Proceedings of the Third European Conference of the Prognostics and Health Management Society 2016.

C6: Espen Oland and Rune Schlanbusch, “A Review of Condition Monitoring Techniques for Fiber Ropes”, Joint Conference: MFPT 2016 and ISA’s 62nd International Instrumentation Symposium, May 24-26, 2016.

C5: Rune Schlanbusch, Espen Oland and Eric Bechhoefer, “Review of Condition Monitoring Techniques for Offshore Steel Wire Ropes”, Joint Conference: MFPT 2016 and ISA’s 62nd International Instrumentation Symposium, May 24-26, 2016.

C4: Torstein Myhre and Olav Egeland, “Collision Detection for Visual Tracking of Crane Loads”, IECON 2016 – 42nd Annual Conf. of the IEEE Industrial Electronics Society.

C3: S.S. Tørdal, P.-O. Løvsland and G. Hovland, “Testing of Wireless Sensor Performance in Vessel-to-Vessel Motion Compensation”, 42nd IEEE Industrial Electronics Conference (IEEE IECON2016), Florence, Italy, Oct. 24-27, 2016

C2: D. Alonso-Román, B. Beferull-Lozano, “Adaptive consensus-based distributed detection in WSN with unreliable links”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016.

C1: D. Alonso-Román, B. Beferull-Lozano, “Adaptive consensus-based distributed Kalman filter for WSNs with random link failures”, IEEE International Conference on Distributed Computing in Sensor Systems, May 2016.

C32: Eric Bechoefer, Rune Schlanbusch and Tor Inge Waag, “Fault Detection on Large Slow Bearings”, Proceedings of Third European Conference of the Prognostics and Health Management Society 2016.

SFI Publication Guidelines

All publications in the centre will have the following Acknowledgement: “The research presented in this paper has received funding from the Norwegian Research Council, SFI Offshore Mechatronics, project number 237896.”

All publications in the centre are approved by the SFI board before submission to conferences and journals.