Publikationer fra instituttet

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Elektro- og Computerteknologi.

Publikationsliste

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Tola, D. & Larsen, P. G. (2021). A Co-Simulation Based Approach for Developing Safety-Critical Systems. I Proceedings of the 18th International Overture Workshop https://arxiv.org/pdf/2101.07261.pdf#page=65

Grøn Sørensen, C., Dybro, N., M. Allen, C., Grift, T. & C. Hansen, A. (2021). A Grain Production System Analysis Towards Scalable Machine Systems. Poster-session præsenteret på ASABE.

M. Hanafy Mahmoud , N., Jensen, A. L., Topp, C. F. E., Grøn Sørensen, C., Nørremark, M., Eory, V. & Hutchings, N. (2021). A method to link serious injuries to agricultural operations and assess the impact of changes in agricultural systems.. Abstract fra 2021 Nordic Meeting on Agricultural Occupational Health and Safety, Trondheim, Norge.

M. Hanafy Mahmoud , N., Jensen, A. L., Topp, C. F. E., Grøn Sørensen, C., Nørremark, M., Eory, V. & Hutchings, N. (2021). A Method to Quantify the Detailed Risk of Serious Injury in Agricultural Production. Sustainability, 13(7), Artikel 3859. https://doi.org/10.3390/su13073859

Faraji, B., Gheisarnejad, M., Yalsavar, M. & Khooban, M. H. (2021). An Adaptive ADRC Control for Parkinson’s Patients Using Machine Learning. IEEE Sensors Journal, 21(6), 8670 - 8678. Artikel 9311650. https://doi.org/10.1109/JSEN.2020.3048588

Lindahl Petersen , K., Ladegaard Jensen, K., Back Nielsen, M., Pas, L.-C., Jensen, N.-P., Nielsen, P. R., Bøjer, O. M., Nyholm Jørgensen, R., Laursen, M. S., Teimouri, N. & Hartmann, B. (2021). Analyse af mulige herbicidbesparelser ved brug af erfaringer og data fra RoboWeedMaPS. Datalogisk Institut. https://datalogisk.dk/wp-content/uploads/2021/03/MST_20rapport_version_2_2002092021.pdf

Narvaez, F., Hosseini, S., Farkhani, H. & Moradi, F. (2021). Analysis and Design of a PMUT-based transducer for Powering Brain Implants. ArXiv.

Oleksiienko, I. & Iosifidis, A. (2021). Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. I N. Mallenahalli, A. Bhattacharya, S. Senatore, A. Negi & A. Hirose (red.), 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) (s. 59-64). IEEE. https://doi.org/10.1109/ICETCI51973.2021.9574075

Ahmadi, H., Rafiei Foroushani, M., Afshari-Igder, M., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). An Energy Efficient Solution for Fuel Cell Heat Recovery in Zero-Emission Ferry Boats: Deep Deterministic Policy Gradient. I E E E Transactions on Vehicular Technology, 70(8), 7571-7581. Artikel 9477203. https://doi.org/10.1109/TVT.2021.3094899.

Mohammadzadeh Shahir, F., Gheisarnejad Chirani, M., S. Sadabadi , M. & Khooban, M. H. (2021). A New Off-Board Electrical Vehicle Battery Charger: Topology, Analysis and Design. Designs, 5(3), Artikel 51. https://doi.org/10.3390/designs5030051

Mohammadzadeh Shahir, F., Gheisarnejad Chirani, M. & Khooban, M. H. (2021). A New Transformer-Less Structure for a Boost DC-DC Converter with Suitable Voltage Stress. Automation , 2(4), 220-237. https://doi.org/10.3390/automation2040014

Hansen, S. T., Thule, C. & Gomes, C. (2021). An FMI-Based Initialization Plugin for INTO-CPS Maestro 2. I L. Cleophas & M. Massink (red.), Software Engineering and Formal Methods: SEFM 2020 Collocated Workshops (s. 295-310). Springer. https://doi.org/10.1007/978-3-030-67220-1_22

Gheisarnejad, M., Farsizadeh, H., Tavana, M. R. & Khooban, M. H. (2021). A Novel Deep Learning Controller for DC/DC Buck-Boost Converters in Wireless Power Transfer Feeding CPLs. IEEE Transactions on Industrial Electronics, 68(7), 6379-6384. https://doi.org/10.1109/TIE.2020.2994866

Kuldeep, G. & Zhang, Q. (2021). A Novel Efficient Secure and Error-Robust Scheme for Internet of Things Using Compressive Sensing. IEEE Access, 9, 40903-40914. Artikel 9373354. https://doi.org/10.1109/ACCESS.2021.3064700

Andalibi, M., Hajihosseini, M., Gheisarnejad Chirani, M., Khooban, M. H. & Boudjadar, J. (2021). A Novel Method for Stabilizing Buck-Boost Converters with CPL using Model Prediction Control. I Proceedings - 2021 22nd IEEE International Conference on Industrial Technology, ICIT 2021 (s. 541-545). Artikel 9453639 IEEE. https://doi.org/10.1109/ICIT46573.2021.9453639

Naveed, K. & Rehman, N. U. (2021). A Novel Multivariate Goodness-of-Fit Test based on Mahalanobis Distance and Its Application in Denoising. I 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings (s. 2050-2054). IEEE. https://doi.org/10.23919/eusipco54536.2021.9616193

Gheisarnejad, M., Farsizadeh, H. & Khooban, M. H. (2021). A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters. IEEE Transactions on Industrial Electronics, 68(8), 6849-6858. https://doi.org/10.1109/TIE.2020.3005071

Mohammadi Moghadam, H., Gheisarnejad Chirani, M., Yalsavar, M., Foroozan, H. & Khooban, M. H. (2021). A Novel Nonsingular Terminal Sliding Mode Control-Based Double Interval Type-2 Fuzzy Systems: Real-Time Implementation. Inventions, 6(2), Artikel 40. https://doi.org/10.3390/inventions6020040

Magris, M. & Iosifidis, A. (2021). Approximate Bayes factors for unit root testing. Afhandling præsenteret på International Association for Applied Econometrics Annual Conference 2021, Rotterdam, Holland. https://www.researchgate.net/publication/349492007_Approximate_Bayes_factors_for_unit_root_testing

Larsen, J. J., Griffiths, M., Vang, M., Liu, L. & Grombacher, D. (2021). Apsu - A compact surface NMR instrument for groundwater investigations. I SEG Technical Program Expanded Abstracts 2021 (s. 3135-3139). Society of Exploration Geophysicists. https://doi.org/10.1190/segam2021-3582046.1

Shi, L., Marcano, N. J. H. & Jacobsen, R. H. (2021). A Review on Communication Protocols for Autonomous Unmanned Aerial Vehicles for Inspection Application. Microprocessors and Microsystems, 86, Artikel 104340. https://doi.org/10.1016/j.micpro.2021.104340

Gheisarnejad Chirani, M., Sharifzadeh, M., Khooban, M. H. & Al-Haddad, K. (2021). A Robust Ultra-Local Model Control with DC Capacitor Voltage-Balancing for PEC9 Inverter. I 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (s. 2601-2606). IEEE. https://doi.org/10.1109/ECCE47101.2021.9595329

Boudjadar, J. & Khooban, M. H. (2021). A Safety-Driven Cost Optimization for the Real-Time Operation of a Hybrid Energy System. I H. Selvaraj, G. Chmaj & D. Zydek (red.), Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020 (s. 390-400). Springer. https://doi.org/10.1007/978-3-030-65796-3_38

Bjerge, K., Schougaard, J. H. & Larsen, D. E. (2021). A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design. Microprocessors and Microsystems, 87, Artikel 104363. https://doi.org/10.1016/j.micpro.2021.104363

Bennedsen, J. (2021). Assessing students' professional criticism skills - a mathematics course case. I J. Bennedsen, K. Edström, M. S. Gudjonsdottir, I. Sæmundsdóttir, N. Kuptasthien, J. Roslöf & A. Sripakagorn (red.), The 17^th International CDIO Conference: Proceedings - Full papers (s. 293-302). Chulalongkorn University. http://www.cdio2021.chula.ac.th/download/CDIO2021_proceeding.pdf

Vahdanjoo, M., Nørremark, M. & Grøn Sørensen, C. (2021). A System for Optimizing the Process of Straw Bale Retrieval. Sustainability, 13(14), Artikel 7722. https://doi.org/10.3390/su13147722

Andalibi, M., Hajihosseini, M., Teymoori, S., Kargar, M. & Gheisarnejad, M. (2021). A Time-Varying Deep Reinforcement Model Predictive Control for DC Power Converter Systems. I S. K. Mazumder, J. C. Balda, L. He, J. Liu & A. Gupta (red.), 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) (s. 1-6). IEEE. https://doi.org/10.1109/PEDG51384.2021.9494214

Legaard, C. M., Tola, D., Schranz, T., Macedo, H. D. & Larsen, P. G. (2021). A Universal Mechanism for Implementing Functional Mock-up Units. I G. Wagner, F. Werner, T. I. Ören & F. D. Rango (red.), Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021, Online Streaming, July 7-9, 2021 (s. 121-129). SCITEPRESS Digital Library. https://doi.org/10.5220/0010577601210129

Johansen, K. W., Nielsen, R., Schultz, C. & Teizer, J. (2021). Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), 457-486. https://doi.org/10.1108/SASBE-03-2021-0044

Seker, M., Männistö, A., Iosifidis, A. & Raitoharju, J. (2021). Automatic Main Character Recognition for Photographic Studies. I IEEE 23rd International Workshop on Multimedia Signal Processing, MMSP 2021 IEEE. https://doi.org/10.1109/MMSP53017.2021.9733624

Johansen, K. W., Pimentel de Figueiredo, R., Golovina, O. & Teizer, J. (2021). Autonomous Safety Barrier Inspection in Construction: An Approach Using Unmanned Aerial Vehicles and SafeBIM. I C. Feng, T. Linner & I. Brilakis (red.), Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021 (s. 629-636) https://doi.org/10.22260/ISARC2021/0085

Kristensen, E. F., Grøn Sørensen, C., Balafoutis, T., Vaiopoulos, K. & Vandorou, F. (2021). Available financing tools in EU agriculture. https://www.agrofossilfree.eu/wp-content/uploads/2021/10/D2.14.pdf

Nguyen, A. Q., Nguyen, H. T., Tran, V. C., Pham, H. X. & Pestana, J. (2021). A Visual Real-time Fire Detection using Single Shot MultiBox Detector for UAV-based Fire Surveillance. I S. Bahk, P. Tran-Gia, J. Van der Spiegel & N. X. Quynh (red.), 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) (s. 338-343). IEEE. https://doi.org/10.1109/ICCE48956.2021.9352080

Sørensen, R. A., Rosenberg, J. & Karstoft, H. (2021). Baggage Routing with Scheduled Departures using Deep Reinforcement Learning. I Proceedings - 2021 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2021 (s. 13-19). IEEE. https://doi.org/10.1109/ISCSIC54682.2021.00014

Nielsen, L. & Heck, M. (2021). Boosting the output power and wall-plug efficiency of lasers on a generic InP platform. I S. M. García-Blanco & P. Cheben (red.), Integrated Optics: Devices, Materials, and Technologies XXV (Bind 11689). Artikel 116890T SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2581908

Robinson, C., Bagnato, A., Pastrone, C., Weyer, T., Popov, P., Macedo, H. D., Sassanelli, C., Larsen, P. G., Luz, C. H., Henshaw, M., Buron, C., Akerkar, R. & Györffi, M. (2021). Bridging the stakeholder communities that produce cyber-physical systems. I M. D. E. al (red.), HiPEAC Vision 2021: High performance embedded architecture and compilation (s. 20-29). HiPEAC. https://www.hipeac.net/vision/2021/

Dyrmann, M., Mortensen, A. K., Linneberg, L., Høye, T. T. & Bjerge, K. (2021). Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning. Sensors (Switzerland), 21(18), Artikel 6126. https://doi.org/10.3390/s21186126

Mehndiratta, M., Camci, E. & Kayacan, E. (2021). Can deep models help a robot to tune its controller? A step closer to self-tuning model predictive controllers. Electronics, 10(18), Artikel 2187. https://doi.org/10.3390/electronics10182187

Wagner, S. (2021). CARIOT+ Care Coach – An Ambient Assisted Living Ecosystem for Supporting Open Data and Open Science Projects. I E. Pissaloux, G. A. Papadopoulos, A. Achilleos & R. Velázquez (red.), ICT for Health, Accessibility and Wellbeing - 1st International Conference, IHAW 2021, Revised Selected Papers (s. 45-59). Springer Science+Business Media. https://doi.org/10.1007/978-3-030-94209-0_5

Nielsen, A. H., Iosifidis, A. & Karstoft, H. (2021). CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3485-3494. Artikel 9366908. https://doi.org/10.1109/JSTARS.2021.3062936

Asif, M. R., Larsen, J. J., Maurya, P. K., Christiansen, A. V. & Auken, E. (2021). Complete automation of time-domain transient electromagnetic data processing using deep convolutional autoencoder. Abstract fra AGU 2021, USA.

Khooban, M. H. & Dragicevic, T. (red.) (2021). Control Strategy for Time-Delay Systems: Part I : Concepts and Theories. Academic Press. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-12-820599-0

Khooban, M. H. & Dragicevic, T. (red.) (2021). Control Strategy for Time-Delay Systems: Part II : Engineering Applications. Elsevier. https://www.elsevier.com/books/control-strategy-for-time-delay-systems/khooban/978-0-323-85347-7

Frasheri, M., Esterle, L. & Papadopoulos, A. V. (2021). Cooperative Multi-agent Systems for the Multi-target κ -Coverage Problem. I A. P. Rocha, L. Steels & J. van den Herik (red.), Agents and Artificial Intelligence: ICAART 2020 (s. 106-131). Springer. https://doi.org/10.1007/978-3-030-71158-0_5

Banaei, M., Ghanami, F., Khooban, M. H. & Boudjadar, J. (2021). Cost-effective control of Roll-on/Roll-off Emission-Free Ships. I 2021 25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021 (s. 315-320). IEEE. https://doi.org/10.1109/MMAR49549.2021.9528473

Falay, B., Wilfling, S., Alfalouji, Q., Exenberger, J., Schranz, T., Legaard, C. M., Leusbrock, I. & Schweiger, G. (2021). Coupling physical and machine learning models: case study of a single-family house. I Proceedings of 14th Modelica Conference 2021 (s. 335-341) https://doi.org/10.3384/ecp21181335

Moradi, F. & Ronchini, M. (2021). Dansk center vil revolutionere forbindelsen mellem hjerne og computer. Medicoteknik, 8(3), 6-8. https://ipaper.ipapercms.dk/TechMedia/Medicoteknik/2021/3/?page=6

Böttjer, T., Ørnskov Rønsch, G., Gonçalves Gomes, C. Â., Ramanujan, D., Iosifidis, A. & Larsen, P. G. (2021). Data-Driven Identification of Remaining Useful Life for Plastic Injection Moulds. I A.-L. Andersen, R. Andersen, D. Brunoe, M. Stoettrup Schioenning Larsen, K. Nielsen, A. Napoleone & S. Kjeldgaard (red.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems: Proceedings of the Changeable, Agile, Reconﬁgurable and Virtual Production Conference and the World Mass Customization & Personalization Conference (s. 431-439). Springer. https://www.springerprofessional.de/en/data-driven-identification-of-remaining-useful-life-for-plastic-/19816878

Pradeepkumar, J., Anandakumar, M., Kugathasan, V., Lalitharatne, T. D., De Silva, A. C. & Kappel, S. L. (2021). Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network. I 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021 (s. 420-423). IEEE. https://doi.org/10.1109/EMBC46164.2021.9630958

Rafiei Foroushani, M., Griffiths, M. P., Boudjadar, J. & Khooban, M. H. (2021). Deep Learning-Based Energy Management of an All-electric City Bus with Wireless Power Transfer. IEEE Access, 9, 43981-43990. Artikel 9380640. https://doi.org/10.1109/ACCESS.2021.3066300

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