http://hdl.handle.net/20.500.14044/33844 2026-07-26T09:01:56Z 2026-07-26T09:01:56Z Kravcov, Alexander Ilkström Civulová, Klára Rolenec, Ota Huber, Martin Kubeček, Petr Simiński, Przemysław http://hdl.handle.net/20.500.14044/32930 2025-09-18T08:36:09Z 2024-01-01T00:00:00Z

Proposal of Evaluation of Robotic Devices Trafficability, in Low-Endurable Terrain Kravcov, Alexander Ilkström; Civulová, Klára; Rolenec, Ota; Huber, Martin; Kubeček, Petr; Simiński, Przemysław In unit movement planning, evaluation is needed, especially for roads, bridges (width, radius, load capacity, etc.) and the trafficability of the subject terrain. In the context of vehicles – wheeled or tracked, the critical break occurs when the vehicles mire and the convoy is stalled. Currently, robotic devices are often used. This trend is reflected in the Army. That is why the trafficability of these devices needs to be investigated. Robots are performing more demanding tasks and their ability to conquer, not only the terrain but also inaccessible places, is important. The authors decided to examine the trafficability of small robotic devices in low endurable terrain. To investigate, mathematical models were used to determine the terrain trafficability for common military vehicles. The required parameters for the tested robotic devices were used in the formulas. Experimental validation was performed to determine the suitability of the mathematical methods. Comparison of the mathematical results, with the values obtained by experiment, showed that the mathematic methods for larger vehicles are also suitable for smaller tracked robotic devices. For wheeled robotic devices, the match of the results was lower. The results show that current mathematical procedures can be applied to robotic devices, however, further validation is required.

2024-01-01T00:00:00Z Tolner, Ferenc Barta, Balázs Eigner, György http://hdl.handle.net/20.500.14044/32928 2025-09-18T08:39:17Z 2024-01-01T00:00:00Z

Outlier Identification with MFV-robustified Linear Regression in case of Economic Convergence of EU NUTS Regions Tolner, Ferenc; Barta, Balázs; Eigner, György Despite being questioned, absolute economic β -converge is a widely applied method for investigating cohesion tendencies among EU regions. Corresponding data fur- ther supports the application of the theory. Relying on our previous results the present study utilizes MFV-robustified linear regression in order to identify over- and under- performing regions. For this purpose regional GDP and NDI data of EU NUTS2 and NUTS3 level regions are used from the time period of 2000-2020. Since underlying data distributions have typically long tails, are highly skewed and contaminated by several outliers robust statistical approaches are advised. The outlined procedure suggests that economic convergence tendency among EU regions is less expressed than conventional β - convergence would claim. Furthermore, by substituting mean values by ”Most Frequent Values” introduced by Stener et. al. in corresponding calculations regions can be found to be greatly deviating predicted by conventional convergence theories that would otherwise be masked due to data characteristics.

2024-01-01T00:00:00Z Kiss, Márton L. Tóthné Szita, Klára Pintér, Judit Mária Kósa, Balázs Veres, Laura http://hdl.handle.net/20.500.14044/32927 2025-09-18T08:39:04Z 2024-01-01T00:00:00Z

Lifecycle Analysis of an Air Quality Sensor Kiss, Márton L.; Tóthné Szita, Klára; Pintér, Judit Mária; Kósa, Balázs; Veres, Laura Nowadays, it is becoming increasingly important to not only measure environmental impacts, in terms of energy efficiency, but also, in terms of the quality of life. We have developed an outdoor, low-cost environmental sensor that measures airborne dust concentrate and other air parameters. Our goal is to perform high-resolution measurements, based on hundreds of metering devices, to achieve full urban coverage. Using the data measured and collected by the sensors, our second goal is to establish the intelligent building management and settlement management systems and services. As the planned system will consist of hundreds of nodes, its environmental impact and durability cannot be neglected. Therefore, environmental planning is of paramount importance during the development. When developing sensors, it is advisable to focus on the most important factors of ecological design. During the life cycle analysis, the combined environmental impact of the nodes and the network itself, must be examined.

2024-01-01T00:00:00Z Lins Galdino, Sérgio Mário Dias da Silva, Jornandes http://hdl.handle.net/20.500.14044/32577 2025-09-18T08:40:57Z 2024-01-01T00:00:00Z

Hybrid Clustering: Combining K-Means and Interval valued data-type Hierarchical Clustering Lins Galdino, Sérgio Mário; Dias da Silva, Jornandes In this paper, we describe a hybrid clustering procedure which is well‐suited when we deal with a large data set. It combines the K‐Means clustering to handle large data sets, and an Interval valued data-type Hierarchical Clustering (IHCA). The Hierarchical Cluster Analysis is especially helpful when we want to detect the appropriate number of clusters. The hybrid clustering procedure relies on the following schema: First, we use the K‐Means algorithm in order to create pre‐clusters (e.g., 30), they contain a few examples and second, we start the IHAC from these pre‐clusters (summarized by interval data vectors- they contain more information than point-valued data, and such informational advantages could be exploited to yield more efficient analysis) to create the dendrogram. The main goal of this paper is show that hybrid cluster analysis is appropriate. A simple case study demonstrates the procedure for combining K-means/IHCA, which finds representative groups and thus, proves the efficiency of approach.

2024-01-01T00:00:00Z