Multidisciplinary Sciences

Relations of university services and technologies in science and technology parks

Csilla Tóth, Zoltán Kovács, Beáta Fehérvölgyi, András Háry — Thu, 06 Mar 2025 00:00:00 +0100

Science and technology parks are important sites for research, development and innovation. These innovation ecosystems firmly rely on the presence of universities. Related research highlights that there are many forms of university presence in science and technology parks. Various examples can be found, ranging from active presence through R&D projects to general collaborations. University involvement depends on the nature of the park, its activities and the technological environment. The analysis uses data from 113 international science and technology parks to examine the link between university services and the technology portfolios of the parks. The authors present the sectoral, technological and activity characteristics of the parks studied and show through statistical analysis that there is an observable link between certain elements of the university presence and specific technological characteristics.

Computer aided dynamic analysis of a tilting table with parallel kinematics

István Tüske, György Hegedűs — Thu, 06 Mar 2025 00:00:00 +0100

The paper presents the dynamic analysis of a tilting table with parallel kinematics. The dynamic analysis of the structure and the creation of the structure model will be performed with a 3D CAD software. The 3D model of the structure includes, among other things, the parameters necessary for the analysis, such as the dimensions and position of the parts, as well as the weight of the parts. During the dynamic analysis of the tilting table, the required actuator forces for the operation of the structure will be determined. Actuator forces are determined by the torque of the table’s central cardan joint in the case of the examined structure. Of course, the actuator forces depend on the installation location of the actuators, the mass of the moving parts, and the acceleration given by the displacement of the actuators.

Agile in automotive

Tamás Bence Venczel, László Berényi, Krisztián Hriczó — Fri, 09 May 2025 00:00:00 +0200

This paper explores the implementation of Agile methodologies in the automotive industry through a domain analysis based on a pilot questionnaire data. The study investigates the potential benefits and challenges of adopting Agile practices across various automotive departments. Insights were gathered from 44 automotive experts, representing diverse departmental perspectives. The research seeks to understand how agility can enhance operational efficiency, improve cross-functional collaboration, and mitigate risks inherent in the sector.

Fatigue crack propagation in S1100M and S1300Q structural steels and their welded joints

Judit Kovács, János Lukács — Fri, 09 May 2025 00:00:00 +0200

Nowadays, in case of thick plates, materials with a yield strength of 1100 MPa or 1300 MPa are available, depending on the production method. However, the resistance of these materials to fatigue crack propagation (FCP) is still a question. Thus, in the present research work, tests are presented on the fatigue crack propagation resistance of S1100M and S1300Q base materials and their welded joints. For the welded joints two different types of filler materials from different strength categories were used, so these were also compared in the terms of fatigue crack propagation resistance. The results show a significant difference between cracks propagating in the rolling direction and in the thickness direction. However, for the two different filler metals, the resistance of the welded joints to fatigue crack propagation is considered to be the same. For S1100M, the fatigue fracture toughness of welded joints typically exceeds that of the base material. In the case of S1300Q, there is no significant difference between the fatigue fracture toughness of the base material and that of the welded joints.

An AdaBoost Approach to Predict Engine Failures

Olivér Hornyák — Wed, 09 Jul 2025 00:00:00 +0200

This study investigates the application of the adaptive boosting (AdaBoost) algorithm for predicting engine failures, a critical task in industries where equipment downtime incurs significant costs and safety risks. The choice of AdaBoost was motivated by its interpretability and low computational requirements, making it well-suited for real-time or embedded system implementations. The analysis utilized a dataset comprising operational data from 100 engines. During preprocessing, binary labels were created based on the median of the engines’ Time to Failure (TTF) to indicate the urgency of maintenance needs. The implemented model achieved an overall accuracy of 80%. The results demonstrate the model’s promising predictive capabilities, though the number of false negatives suggests the need for further optimization. The findings of this research open new avenues for enhancing predictive maintenance systems.

Horizontal and vertical analysis of the solar-wind capacity factor based on RCP climate scenarios

Nándor Bozsik, István Takács — Wed, 09 Jul 2025 00:00:00 +0200

The article examines the current and future development of Hungary's solar energy and wind energy production from an unusual perspective. It examines two consecutive thirty-year periods through changes in the capacity factor of solar and wind power plants under three climate scenarios. The analysis was carried out for eight NUTS2 regions of Hungary. Such studies contribute to increasing efficiency by combining resources and integrating areas with different production patterns, which has the potential to maximise production and minimise production uncertainty. You may want to do these with different vertical and horizontal resolutions.

Testing and comparing the performance of numerical methods for the heat conduction equation partial differential equation

Andicha Zain, Krisztián Hriczó, Imre Ferenc Barna — Wed, 09 Jul 2025 00:00:00 +0200

This research collected 12 numerical algorithms that solve the transient diffusion equation with Dirichlet boundary conditions in one space dimension. Some of these methods are explicit and unconditionally stable simultaneously. A nontrivial analytical solution, recently obtained by a self-similar Ansatz, served as the reference solution. The errors were calculated and plotted as a function of the time step size and execution times. The conclusion is that there are explicit and stable methods that provide acceptable results faster than the traditional Runge-Kutta style methods.

Green’s function technique for stepped beam vibrations

Abderrazek Messaoudi, György Szeidl, László Péter Kiss — Thu, 10 Jul 2025 00:00:00 +0200

The study investigates stepped heterogeneous beams fixed at two endpoints. The eigenfrequencies for both unloaded and axially loaded problems are derived through the transformation of classical eigenvalue problems into homogeneous Fredholm integral equations. These equations can numerically be solved by reducing them to algebraic eigenvalue problems. The study assesses the effects of step location, bending stiffness and, axial force on natural frequencies. Through a comprehensive exploration of these mathematical frameworks, the paper aims to contribute to the structural vibration analysis of stepped beams. The study’s outcomes confirm the suitability of the presented method.

A Short Review on Ethological Behavior Modelling Techniques

Aaqib Lone, Szilveszter Kovács — Fri, 25 Jul 2025 00:00:00 +0200

Ethological behavior modeling techniques offer a structured framework for analyzing and comparing animal behaviors by identifying patterns within specific environmental contexts. These models have gained increasing prominence in robotics due to their potential to address challenges in human-machine interaction and enable autonomous systems to function effectively in complex, real-world settings. By mimicking animal responses to dynamic stimuli, ethologically inspired models enhance the adaptability and responsiveness of robotic systems. This paper reviews key ethological behavioral models, including those proposed by Tinbergen, Lorenz, and Gerard Baerends, with particular emphasis on two contemporary methodologies: knowledge-based ethologically influenced behavioral design and situated action-based behavior. These approaches highlight the importance of environmental adaptability and iterative refinement, illustrating the benefits of interdisciplinary collaboration between ethology and information sciences.