Publikationer fra instituttet

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

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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Gaikwad, N., Liu, L., Griffiths, M. P., Vang, M. Ø., Grombacher, D. & Larsen, J. J. (2022). Thermal Model of the Apsu Transmitter for Lightweight and Compact Heat Sink Design. 11-13. Abstract fra The 8th International Workshop on Magnetic Resonance Sounding, Strasbourg, Frankrig. https://mrs2021.sciencesconf.org/data/pages/proceedings_MRS2021_distrib_v2.pdf

Tola, D., Madsen, E., Gomes, C., Esterle, L., Schlette, C., Hansen, C. & Larsen, P. G. (2022). Towards Easy Robot System Integration: Challenges and Future Directions. I 2022 IEEE/SICE International Symposium on System Integration (SII) (s. 77-82) https://doi.org/10.1109/SII52469.2022.9708846

Li, B., Schultz, C., Teizer, J., Golovina, O. & Melzner, J. (2022). Towards a unifying domain model of construction safety, health and well-being: SafeConDM. Advanced Engineering Informatics, 51, [101487]. https://doi.org/10.1016/j.aei.2021.101487

Nørremark, M., Hansen, E. M. & Thomsen, I. K., (2022). Vurderingen af miljøeffekten ved variabel tildeling af husdyrgødning under præcisionslandbrug, Nr. 2021-0310376, 12 s., apr. 21, 2022. Rådgivningsnotat fra DCA – National Center for Fødevarer og Jordbrug

Zamani, M., Rezaeiyan, Y., Huynh, H. A., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 2.3-μW Capacitively Coupled Chopper-Stabilized Neural Amplifier with Input Impedance of 6.7 GΩ. IEEE Solid-State Circuits Letters, 4, 133 - 136. https://doi.org/10.1109/LSSC.2021.3094237

Huynh, H. A., Zamani, M., Ronchini, M., Farkhani, H. & Moradi, F. (2021). A 53GΩ@DC Input Impedance Multi-Channel Neural Recording Amplifier with 0.77 μvrms Input-Referred Noise for Deep Brain Implants. I 2021 IEEE Custom Integrated Circuits Conference, CICC 2021 - Proceedings [9431403] IEEE. Proceedings of the Custom Integrated Circuits Conference Bind 2021-April https://doi.org/10.1109/CICC51472.2021.9431403

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 ved 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 Quantify the Detailed Risk of Serious Injury in Agricultural Production. Sustainability, 13(7), [3859]. https://doi.org/10.3390/su13073859

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), [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

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. 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 2021 22nd IEEE International Conference on Industrial Technology (ICIT) (s. 541-545). IEEE. https://doi.org/10.1109/ICIT46573.2021.9453639

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), [40]. https://doi.org/10.3390/inventions6020040

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, [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 IEEE Xplore (s. 2601-2606). IEEE. IEEE Energy Conversion Congress and Exposition 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. Lecture Notes in Networks and Systems Bind 182 https://doi.org/10.1007/978-3-030-65796-3_38

Vahdanjoo, M., Nørremark, M. & Grøn Sørensen, C. (2021). A System for Optimizing the Process of Straw Bale Retrieval. Sustainability, 13(14), [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

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

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.

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, [104363]. https://doi.org/10.1016/j.micpro.2021.104363

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. https://doi.org/10.1109/JSEN.2020.3048588

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. https://doi.org/10.1109/TVT.2021.3094899.

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. Lecture Notes in Computer Science Bind 12524 https://doi.org/10.1007/978-3-030-67220-1_22

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. (s. 10). 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

Magris, M. & Iosifidis, A. (2021). Approximate Bayes factors for unit root testing. Paper præsenteret ved 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. SEG Technical Program Expanded Abstracts, 2021-September, 3135-3139. https://doi.org/10.1190/segam2021-3582046.1

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

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 International Workshop on Multimedia Signal Processing https://www.researchgate.net/publication/352506003_Automatic_Main_Character_Recognition_for_Photographic_Studies

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 ISARC (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

Sørensen, R. A., Rosenberg, J. & Karstoft, H. (2021). Baggage Routing with Scheduled Departures using Deep Reinforcement Learning. I 2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC) (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). 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), [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 (Switzerland), 10(18), [2187]. https://doi.org/10.3390/electronics10182187

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. 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.

Hedegaard Morsing, L. & Iosifidis, A. (2021). Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. https://arxiv.org/abs/2106.00050

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. Lecture Notes in Computer Science Bind 12613 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

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Institut for Elektro- og Computerteknologi udgiver en serie af tekniske rapporter.

Formålet med rapporterne er at formidle aktuel viden til omverdenen forud for og under publiceringsprocessen, som i nogle tilfælde kan tage op til et år.

Læs de tekniske rapporter ved at klikke nedenfor:

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Ph.d.-afhandlinger

Ph.d.-afhandinger ved Institut for Elektro- og Computerteknologi udgives gennem Statsbibliotekets/AU library's online E-books platform, hvor der er open access. Du kan finde publicerede afhandlinger ved at følge linket nedenfor.