@article{MTMT:34818876, title = {Investigation of the modified Ballast Breakage Index for laboratory test series using the Proctor compactor machine}, url = {https://m2.mtmt.hu/api/publication/34818876}, author = {Juhász, Erika and Fischer, Szabolcs}, journal-iso = {ACTA POLYTECH HUNG}, journal = {ACTA POLYTECHNICA HUNGARICA}, unique-id = {34818876}, issn = {1785-8860}, year = {2025}, eissn = {1785-8860}, orcid-numbers = {Fischer, Szabolcs/0000-0001-7298-9960} } @article{MTMT:34777287, title = {Laboratory investigation on seams between rails and hardened fine-grained as well as Hadfield steel plates prepared by manual arc welding}, url = {https://m2.mtmt.hu/api/publication/34777287}, author = {Brautigam, András and Szalai, Szabolcs and Légmán, Nikoletta and Fischer, Szabolcs}, journal-iso = {ACTA POLYTECH HUNG}, journal = {ACTA POLYTECHNICA HUNGARICA}, volume = {22}, unique-id = {34777287}, issn = {1785-8860}, year = {2025}, eissn = {1785-8860}, orcid-numbers = {Fischer, Szabolcs/0000-0001-7298-9960} } @article{MTMT:34722701, title = {Investigating the Effect of Gear Ratio in the Case of Joint Multi-Objective Optimization of Electric Motor and Gearbox}, url = {https://m2.mtmt.hu/api/publication/34722701}, author = {Istenes, György and Polák, József}, doi = {10.3390/en17051203}, journal-iso = {ENERGIES}, journal = {ENERGIES}, volume = {17}, unique-id = {34722701}, issn = {1996-1073}, abstract = {In this paper, a software framework is presented through an application that is able to jointly optimize an electric motor and a gearbox for the design of a drive system for electric vehicles. The framework employs a global optimization method and uses both analytical and finite element method (FEM) models to evaluate the objective functions. The optimization process is supported by a statistical surrogate model, which allows a large reduction of runtime. An earlier version of this framework was only suitable for electric motor optimization. In the application presented in a previous paper, the motor of a belt-driven electric drive system was optimized. In this paper, the optimization of the same drive system is shown, but now with a combined optimization of a gear drive and motor. The objective functions of optimization are minimizing the total loss energy and the weight of the drive system. The optimization results are compared with previous results to demonstrate the further potential of joint optimization.}, year = {2024}, eissn = {1996-1073}, orcid-numbers = {Polák, József/0000-0003-3445-1515} } @article{MTMT:34568996, title = {A new method applied for explaining the landing patterns: Interpretability analysis of machine learning}, url = {https://m2.mtmt.hu/api/publication/34568996}, author = {XU, DATAO and Zhou, Huiyu and Quan, Wenjing and Ugbolue, Ukadike Chris and Fekete, Gusztáv and Gu, Yaodong}, doi = {10.1016/j.heliyon.2024.e26052}, journal-iso = {HELIYON}, journal = {HELIYON}, volume = {10}, unique-id = {34568996}, year = {2024}, eissn = {2405-8440}, orcid-numbers = {Quan, Wenjing/0000-0002-3881-518X; Ugbolue, Ukadike Chris/0000-0002-6640-4126; Fekete, Gusztáv/0000-0002-6138-8382; Gu, Yaodong/0000-0003-2187-9440} } @article{MTMT:34524770, title = {Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles}, url = {https://m2.mtmt.hu/api/publication/34524770}, author = {Ignéczi, Gergő Ferenc and Horváth, Ernő and Tóth, Roland and Nyilas, K}, doi = {10.1007/s42154-023-00259-8}, journal-iso = {Automot. Innov.}, journal = {Automotive Innovation}, volume = {7}, unique-id = {34524770}, issn = {2096-4250}, abstract = {Automated driving systems are often used for lane keeping tasks. By these systems, a local path is planned ahead of the vehicle. However, these paths are often found unnatural by human drivers. In response to this, this paper proposes a linear driver model, which can calculate node points reflective of human driver preferences and based on these node points a human driver preferred motion path can be designed for autonomous driving. The model input is the road curvature, effectively harnessed through a self-developed Euler-curve-based curve fitting algorithm. A comprehensive case study is undertaken to empirically validate the efficacy of the proposed model, demonstrating its capacity to emulate the average behavioral patterns observed in human curve path selection. Statistical analyses further underscore the model's robustness, affirming the authenticity of the established relationships. This paradigm shift in trajectory planning holds promising implications for the seamless integration of autonomous driving systems with human driving preferences.}, year = {2024}, eissn = {2522-8765}, pages = {59-70}, orcid-numbers = {Horváth, Ernő/0000-0001-5083-2073} } @article{MTMT:34231272, title = {A new method proposed for realizing human gait pattern recognition: Inspirations for the application of sports and clinical gait analysis}, url = {https://m2.mtmt.hu/api/publication/34231272}, author = {XU, DATAO and Zhou, Huiyu and QUAN, WENJING and Jiang, Xinyan and Liang, Minjun and Li, Shudong and Ugbolue, Ukadike Chris and Baker, Julien S. and Fekete, Gusztáv and Ma, Xin and Chen, Li and Gu, Yaodong}, doi = {10.1016/j.gaitpost.2023.10.019}, journal-iso = {GAIT POSTURE}, journal = {GAIT & POSTURE}, volume = {107}, unique-id = {34231272}, issn = {0966-6362}, year = {2024}, eissn = {1879-2219}, pages = {293-305}, orcid-numbers = {Fekete, Gusztáv/0000-0002-6138-8382; Gu, Yaodong/0000-0003-2187-9440} } @article{MTMT:34177876, title = {Testing the selection heuristic of the Accelerated Branch and Bound method}, url = {https://m2.mtmt.hu/api/publication/34177876}, author = {Heinc, Emília and Bánhelyi, Balázs}, journal-iso = {ANN MATH INFORM}, journal = {ANNALES MATHEMATICAE ET INFORMATICAE}, unique-id = {34177876}, issn = {1787-5021}, year = {2024}, eissn = {1787-6117}, orcid-numbers = {Bánhelyi, Balázs/0000-0003-4408-9054} } @article{MTMT:34107724, title = {Backflipping With Miniature Quadcopters by Gaussian-Process-Based Control and Planning}, url = {https://m2.mtmt.hu/api/publication/34107724}, author = {Antal, Péter and Péni, Tamás and Tóth, Roland}, doi = {10.1109/TCST.2023.3297744}, journal-iso = {IEEE T CONTR SYST T}, journal = {IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY}, volume = {32}, unique-id = {34107724}, issn = {1063-6536}, year = {2024}, eissn = {1558-0865}, pages = {3-14} } @inproceedings{MTMT:34508901, title = {Learning Stable and Robust Linear Parameter-Varying State-Space Models}, url = {https://m2.mtmt.hu/api/publication/34508901}, author = {Verhoek, C and Wang, R and Tóth, Roland}, booktitle = {2023 62nd IEEE Conference on Decision and Control (CDC)}, doi = {10.1109/CDC49753.2023.10384260}, unique-id = {34508901}, year = {2023}, pages = {1348-1353} } @article{MTMT:34486955, title = {Overview of XBRL Taxonomy Usage for Structured Sustainability Reporting in European Filings}, url = {https://m2.mtmt.hu/api/publication/34486955}, author = {Suta, Alex and Pintes, Orsolya and Péter, Molnár and Bence, Lukács and Loránd, Kedves and Tóth, Árpád}, doi = {10.3303/CET23107097}, journal-iso = {CHEM ENG TR}, journal = {CHEMICAL ENGINEERING TRANSACTIONS}, volume = {107}, unique-id = {34486955}, issn = {1974-9791}, year = {2023}, eissn = {2283-9216}, pages = {577-582} }