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Publications - 6374

On the Selection the Rule Membership Functions and Fuzzy Rule Interpolation

Ferenc Lilik Brigita Sziova Szonja Krisztina Szujo Laszlo T. Koczy Szilvia Nagy

Publication Name: Studies in Computational Intelligence

Publication Date: 2022-01-01

Volume: 959

Issue: Unknown

Page Range: 111-118

Description:

In many real physical systems based fuzzy inference systems the rulebase is sparse thus interpolation or the change of the shape of the rules become necessary if the rulebase parameters are selected according to physical parameters of the systems. Often measurements contain noise and outlines which can draw the statistics of the measured data. In the present article based on two independent examples, namely telecommunication line evaluation and colonoscopy image processing, we study the effect of the selection of the rulebase parameters on the effectiveness of stabilized fuzzy KH interpolation.

Open Access: Yes

DOI: 10.1007/978-3-030-74970-5_13

On the Impact of Packet Reordering in MPT-GRE Multipath Networks

Naseer Al-Imareen Gábor Lencse

Publication Name: 2023 46th International Conference on Telecommunications and Signal Processing Tsp 2023

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 82-86

Description:

Several factors, such as network delays, congestion, differing path lengths, and varied processing durations at intermediary nodes, can cause out-of-order arrival of the packets, negatively affecting network performance, decreasing throughput, and increasing latency. When packets arrive out of order, the receiver may need to wait for missing packets before assembling a complete message, resulting in additional delays. Furthermore, some applications, like music and video streaming, require continuous and ordered data flow. Any out-of-order arrival of packets can result in jitter and decreased quality. To mitigate the impact of this issue in MPT-GRE multipath networks, MPT contains a packet reordering mechanism. In this paper, we designed a network topology that generated delays and limited the transmission speed on one of the paths. We investigated how the out-of-order arrival of packets influences the throughput aggregation capability of the MPT library with and without enabling the packet reordering feature of MPT. Our network throughput measurements show that by enabling MPT's packet reordering mechanism, MPT can efficiently aggregate the throughput of both symmetric and asymmetric channels.

Open Access: Yes

DOI: 10.1109/TSP59544.2023.10197737

Discrete fourier transform and cepstrum analysis of vibration events on semi-trailer truck

Péter Böröcz Renáta Pidl

Publication Name: Fme Transactions

Publication Date: 2019-01-01

Volume: 47

Issue: 1

Page Range: 177-182

Description:

The aim of this paper is to present a novel techniqe to analyse the vibration signals during transportation in order to give new information to engineers to better understand these physical events. One of the primary sources of damages during transportation is the permanent vibration transmitted from the platform of semi-trailer to the cargo. The nature of this vibration depends on the road conditions and the features of the vehicle. In this study, a 2-axle-truck with a 3-axle-semi-trailer equipped with air spring suspension was observed to analyse the vibration circumstances. The affecting factors during the transportation were the type of the road (motorway, primary road, secondary road, tertiary road), and different vehicle speed levels. The vibration events were measured and registered on the platform of the trailer, then these values were evaluated in MATLAB environment. The presence of the harmonic vibrational components, the stationarity of the mode shapes, the characteristic frequency narrow-bands of the RMS and PSD values were primarily studied. The applied methods that were used are: discrete Fourier transformation, autocorrelation-, cross-correlation functions and cepstrum analysis.

Open Access: Yes

DOI: 10.5937/fmet1901177P

Decision-Making in Climate Change Adaptation Among Tea Farmers: Empirical Insights From China

Huangxin Chen Yi Shi Linjie Feng Qinping Chen Jinghui Zhan Caitian Wu Bilinovics Sipos Judit

Publication Name: Land Degradation and Development

Publication Date: 2026-04-30

Volume: 37

Issue: 7

Page Range: 2424-2439

Description:

Adaptation constitutes a critical strategy for mitigating the adverse impacts of climate change. Enhancing farmers' adaptation behaviors is essential for strengthening the resilience of agricultural systems. This study focuses on tea farmers and develops a conceptual framework for climate change adaptation behavior decision-making by integrating protection motivation theory, theory of planned behavior, and farmer behavior theory. Utilizing field survey data from 313 tea farmers in Fujian Province, China, a structural equation model was employed to empirically analyze the pathways and relative strength of psychological factors influencing tea farmers' adaptation behavior decisions. The findings indicate that: (1) In response to climate change impacts, 58.8% of tea farmers have implemented adaptive measures, whereas 41.2% have undertaken no action; (2) Both risk perception and adaptability perception exert significantly positive influences on tea farmers' climate change adaptation behaviors, indicating that perception underpins adaptation behavior occurrence, with adaptability perception demonstrating a stronger effect on behavioral decisions; (3) Communication and learning with neighbors, relatives, friends, and government officials positively facilitate the adoption of adaptive measures, whereas established behavioral habits impede behavioral adjustment. Based on these results, this study proposes policy recommendations centered on enhancing perceptual capabilities, improving social learning mechanisms, and fostering adaptive practices, aimed at strengthening tea farmers' capacity and willingness to implement climate change adaptation actions.

Open Access: Yes

DOI: 10.1002/ldr.70249

The impact of global socio-economic changes on the regional role of universities

Bálint Filep Zsuzsanna Pupp

Publication Name: Economic Annals Xxi

Publication Date: 2021-07-10

Volume: 190

Issue: 5-6

Page Range: 33-47

Description:

Economic and regional development and rapid, often unpredictable changes across the globe in technical fields have an effect on everything, including universities, training, research and services as well. Universities must find their place in this continuously changing environment, they need to continuously reinterpret themselves and their own roles, whilst ensuring that education and knowledge transfer take priority. The pace of change is increasingly accelerating with technological novelties and innovations by high-tech industries surpassing themselves at an astounding rate. Therefore, knowledge, as the facilitator and creator of these results, plays an increasingly important role for those who wish to rank among the winners of the competition both locally and globally. Today, the primary creators of knowledge are still educational institutions, and universities are the fundamental platforms of research. However, it is not enough to be «only» a university, they must educate and research and become part of the developed world alongside participants who would like to provide scientific answers to practical problems. In our paper we address the question of breaking points along which the role of universities can be transformed in order to remain open to the needs of both their narrower and wider environment while maintaining theirfundamental mission, thus becoming successful players on the global stage. The development of high-tech industries has resulted in a science-driven period when economic development is unimaginable without the scientific results and the interconnection of individual disciplines. This development will presumably lead to the deterioration of certain individual knowledge and the deepening of others. Higher education must also adapt to this with the development of an education system that strengthens digital skills and serves regional expectations. Nowadays entrepreneurial universities have emerged, which are able to operate with an entrepreneurial approach, thereby responding independently to challenges from outside. The ability to co-operate must be a key aspect of university existence, and the deepening of educational, research and business partnerships is a prerequisite for success. In order to spread management approach and create an entrepreneurial ecosystem, successful R&D work and innovation, it is also necessary to involve external, tender resources and grants, besides own resources. However, these resources need to be used well, but the lack of a pre-planned, conscious strategy results in less efficient use. Regional cooperation, common thinking, training and innovation, science workshops and science parks all contribute to the development of institutions and related regions.

Open Access: Yes

DOI: 10.21003/EA.V190-04

Dataflow-based Heterogeneous Code Generator for IoT Applications

Endri Bezati Nebojša Taušan Gábor Paller Gábor Élo Gabor Farkas

Publication Name: International Conference on Model Driven Engineering and Software Development

Publication Date: 2019-01-01

Volume: Unknown

Issue: Unknown

Page Range: 326-332

Description:

The latest wave of connected digital systems, nowadays called Internet of Things (IoT) promises various gains, especially in terms of significant ease of data access. A large number of different platforms for IoT applications,however,makestheirdevelopmentdifficultandtime-consumingleadingtoprojectsthatarefailed to be on time, on budget or fully completed. To address the platform heterogeneity, this paper presents the ongoing work on development environment called Orcc-IoT. Orcc-IoT facilitates the development of IoT by combining dataflow modelling language, heterogeneous code generator and the library of ready-made IoT actors. The utilisation of Orcc-IoT in development is expected to increase the quality, and to reduce the development costs and time-to-market of IoT applications.

Open Access: Yes

DOI: 10.5220/0007496804260432

Sustainable Land Production Methods: The Spatiotemporal Evolution, Determinants, and Future Implications of Grain Crop Production Agglomeration in China Under Resource Constraints

Irum Shahzadi Cheng Li Feng Wu Mingxing Zheng Zhaocai Cui Irum Shahzadi

Publication Name: Land Degradation and Development

Publication Date: 2026-04-30

Volume: 37

Issue: 7

Page Range: 2671-2684

Description:

Amid the backdrop of increasing global extreme weather events and tightening resource constraints on grain crop production. China, as the world's most populous country, faces persistent challenges to grain security. On one hand, grain crop production agglomeration (GCPA) can effectively address grain security challenges by optimizing the spatial layout of agricultural production. On the other hand, it can enhance the efficiency of resource utilization in grain production, thereby ensuring the stability and sustainability of the national grain supply. The study uses 1980 as the baseline and employs a range of analytical methods, including the spatial Gini coefficient, industrial concentration, global Moran's I, and LISA agglomeration map, to investigate the temporal–spatial variation trends and characteristics of GCPA in China from 2000 to 2020. Subsequently, a spatial Durbin model with time and space fixed effects is applied to identify the key factors influencing changes in the level of GCPA. The findings are further contextualized to explore opportunities for leveraging GCPA to promote sustainable land resource development. The results reveal that, from temporal variation trends in GCPA, the overall level of GCPA in China has exhibited a steady upward trend. From temporal variation characteristics in GCPA, the provinces contributing to GCPA have gradually concentrated in Heilongjiang, Henan, Shandong, and Anhui, demonstrating significant provincial convergence. From spatial variation trends in GCPA, while the global Moran's I of GCPA experienced brief declines in 2009 and 2018, it has generally shown a steadily increasing trend, reflecting strong spatial dependence. From spatial variation characteristics in GCPA, the spatial distribution of GCPA exhibits polarization, with provinces transitioning between high-high (H-H) and low-low (L-L) agglomeration clusters. This indicates that regions with lower grain production capacity are likely to experience further declines, regardless of their proximity to high-production regions. The analysis identifies agricultural transportation infrastructure as the most critical factor promoting GCPA. Conversely, excessive use of chemical fertilizers and labor inputs in grain crop production are found to hinder GCPA. Based on these findings, the study recommends enhancing agricultural transportation infrastructure and improving the efficiency of traditional agricultural inputs to elevate GCPA levels, thereby fostering sustainable land resource development.

Open Access: Yes

DOI: 10.1002/ldr.70268

MXene/TiO2 Photocatalyst: The Key Role of MXene Electron Trapping in Water and Air Treatment

László Janovák Zsolt Pap Ágota Deák Gergő Ballai Áron Ágoston Szabolcs Kocsis Szurke Karolina Solymos Laura Lakatos Szabolcs Kocsis Szürke Ákos Kukovecz Zoltán Kónya

Publication Name: International Journal of Molecular Sciences

Publication Date: 2026-04-29

Volume: 27

Issue: 9

Page Range: Unknown

Description:

The photocatalytic activity of TiO2 can be increased by incorporating it into a composite with an electron-trapping co-catalyst. MXene can perform this task as an electron-conducting material. In addition to trapping electrons, it also affects the defects in TiO2 near the interface. To screen for the best photocatalytic performance, three types of composites were prepared: by physical mixing, chemical deposition, and ALD. During characterization, the structural, optical, and photoelectrochemical properties were determined. Photocatalytic activity was examined in suspension (phenol conversion) and on a layer (gas phase ethanol conversion). It was found that the composite containing the lowest proportion of cocatalyst (1 wt.%) had the highest photocatalytic activity. According to the results of photocatalytic activity measured in suspension, the physical mixtures were proven to be more effective than neat TiO2, with the composites converting approximately the total amount of phenol in ~40 min, while TiO2 required ~80-90 min to do so under the same conditions. Thus, the electron-trapping role of MXene is clearly demonstrated in suspension applications, which is also confirmed by other characterization methods (photoluminescence, photocurrent density). TiO2 performed best during ethanol conversion, as it has the highest ethanol adsorption capacity (33.41%). During ethanol conversion tests, the MXene electron-trapping property was most effectively demonstrated in composites formed using the ALD method.

Open Access: Yes

DOI: 10.3390/ijms27093975

Key Performance Indicators for Evaluating Electric Buses in Public Transport Operations

Ágoston Winkler Balázs Horváth Xiao Li

Publication Name: Vehicles

Publication Date: 2025-06-01

Volume: 7

Issue: 2

Page Range: Unknown

Description:

The evaluation of electric buses used in public transportation operations encompasses several critical factors that directly influence the operational efficiency, as well as the economic viability, environmental advantages, and user experience. Energy consumption is a critical metric for assessing the energy efficiency of electric buses. It facilitates a better understanding of vehicle performance across varying road conditions and advances the implementation of energy-saving solutions. The passenger demand model is a tool used to assess the quality and experience of electric buses, with the assessment being based on real usage. The operational mileage is defined as the driving distance of electric buses on a single charge. This parameter has a significant impact on both urban coverage and route optimization. The article under consideration identifies evaluation indicators for electric buses. These indicators are derived from a set of 100 questionnaire responses, which were collected in Győr, Hungary. The classification of the indicators into three segments—mechanical, operational and bus transportation system—is proposed, with the underlying rationale and significance of each indicator’s selection being elucidated. The findings indicate that this component is essential for developing a comprehensive evaluation system for electric buses and serves as a solid foundation for more intricate future studies.

Open Access: Yes

DOI: 10.3390/vehicles7020058