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Publications - 6374

AI-Driven Adaptive Urban Lighting for Reducing Light Pollution and Energy Consumption in a Multi-Level Perspective

Publication Name: Energies

Publication Date: 2026-03-01

Volume: 19

Issue: 5

Page Range: Unknown

Description:

Urban lighting systems contribute significantly to energy consumption and light pollution, raising environmental and societal concerns. This paper explores the potential of Artificial Intelligence (abbreviation: AI)-driven adaptive urban lighting as a sustainable solution, framed within a multi-level perspective on socio-technical transitions. At the landscape level, increasing urbanization and global sustainability targets exert pressure for energy-efficient practices, while traditional street lighting regimes remain largely rigid and resource-intensive. At the niche level, we propose a novel adaptive lighting system integrating real-time Internet of Things (abbreviation: IoT) sensor data and machine learning algorithms to dynamically adjust illumination based on traffic, pedestrian activity, weather conditions, and ambient light. Studies demonstrate that the proposed approach can significantly reduce energy use while minimizing light pollution, without compromising safety or visibility. The results indicate that such niche innovations, supported by AI and renewable energy integration, have the potential to influence broader regime change and contribute to sustainable urban development. This research highlights the importance of combining technological innovation with socio-technical frameworks to address pressing urban environmental challenges, offering insights for policymakers, urban planners, and energy managers seeking to balance efficiency, safety, and ecological impact.

Open Access: Yes

DOI: 10.3390/en19051128

Rational Gaussian Wavelets and Corresponding Model Driven Neural Networks

Publication Name: IEEE Transactions on Signal Processing

Publication Date: 2025-01-01

Volume: 73

Issue: Unknown

Page Range: 3140-3155

Description:

In this paper we introduce a highly adaptive continuous wavelet transform using Gaussian wavelets multiplied by an appropriate rational term. The zeros and poles of this rational modifier act as free parameters and their choice highly influences the shape of the mother wavelet. This allows the proposed construction to approximate signals with complex morphology using only a few wavelet coefficients. We show that the proposed rational Gaussian wavelets are admissible and provide numerical approximations of the wavelet coefficients using variable projection operators. In addition, we show how the proposed variable projection based rational Gaussian wavelet transform can be used in neural networks to obtain a highly interpretable feature learning layer. We demonstrate the effectiveness of the proposed scheme through a number of numerical experiments including biomedical applications, and the detection of abnormal road surface based on tire sensor signals.

Open Access: Yes

DOI: 10.1109/TSP.2025.3592099

Evaluation of the biostimulant effects of two Chlorophyta microalgae on tomato (Solanum lycopersicum)

Publication Name: Journal of Cleaner Production

Publication Date: 2022-09-01

Volume: 364

Issue: Unknown

Page Range: Unknown

Description:

Eukaryotic microalgae from the Chlorophyta division are used in various bio-industries due to their ability to produce high value compounds. Some of these compounds show plant biostimulant properties when applied to plants, soil or growth medium in hydroponic chambers. The first objective of this study was to evaluate if Chlamydomonas reinhardtii cc 124 and Chlorella sp. MACC-360 had biostimulant effect on Solanum lycopersicum L. The second objective was to investigate the importance of the application mode and time. The third goal was to reveal strain-specific actions of the two algae strains. Tomato plants were grown in pots layered with clay at the bottom and filled with the mixture of soil and vermiculate. In two sets of experiments the soil and plant leaves were treated with living algae and algal extract, respectively. In the first set, the culture suspension (CS) was centrifuged, the algae pellet was re-suspended in water (CCS), and this was applied weekly to soil, while algae extract (cell disrupted algae suspension – CDS) was sprayed on leaves bi-weekly. The flowering process, plant morphology, fruit features and pigment contents were analyzed. In the second set of experiments, the culture suspension per se (CS) was applied to the soil weekly and CDS was sprayed on leaves bi-weekly. Flowering kinetics, reproductive capacity and photosynthetic parameters were examined. Both algae strains increased pigment content, fruit weight and fruit diameter of tomato. Plants that received initial algae treatment at an advanced age performed better than those initially treated at a young age. Chlorella induced early flowering and fruit development while Chlamydomonas significantly delayed these milestone functions. Chlorella promoted conversion of light energy to chemical energy, while Chlamydomonas enhanced protection of photosynthetic parameters. Both strains increased leaf temperature differential as well as leaf thickness. Overall, both algae strains stimulated important agronomic-valuable functions in tomato.

Open Access: Yes

DOI: 10.1016/j.jclepro.2022.132689

Universal autonomous robot navigation using quasi optimal path generation

Publication Name: Icara 2009 Proceedings of the 4th International Conference on Autonomous Robots and Agents

Publication Date: 2009-06-05

Volume: Unknown

Issue: Unknown

Page Range: 458-463

Description:

Autonomous robot navigation is an important research field because these robots can solve problems where the human presence is impossible, dangerous, expensive, or uncomfortable. In this paper, a new hybrid autonomous navigation method is introduced. The algorithm is composed of visibility graph based global navigation and simple potential field based local navigation parts. It applies a new automated graph generation method which may become necessary if, because of the observed new obstacles, a new path should be generated. The quasi optimal route is found by applying the well known A* algorithm on the graph. The presented technique offers a quasi optimal universal navigation technique which can successfully be used in all, known, unknown, and dynamically changing environments. ©2009 IEEE.

Open Access: Yes

DOI: 10.1109/ICARA.2000.4804008

Comparison of the reliability of SNAP foal Ig test, gamma-check e test, refractometry and electrophoresis for determining the immune status of newborn foals in the first hours of life

Publication Name: Acta Veterinaria Hungarica

Publication Date: 2018-01-01

Volume: 66

Issue: 4

Page Range: 573-586

Description:

Twenty-eight warmblood mares were monitored during their late pregnancy in the Teaching Hospital of Ghent University. The reliability of two commercial assays (enzyme immunoassay and glutaraldehyde coagulation test) used for determining the IgG concentrations of their newborn foals was tested. Mammary secretions were examined at the time of foaling (T0), and then 4 (T1) and 8 (T2) hours after foaling by refractometry and electrophoresis. The foals' blood IgG levels were measured at T1 and T2 as a routine clinical diagnostic examination using two different commercial test kits (SNAP Foal Ig and Gamma-Check E) and T0, T1 and T2 samples were stored (at -18 °C) for immunoglobulin (Ig) determination by electrophoresis. Differences between the results of refractometry and electrophoresis occurred in 27.8% of the colostrum analyses. Some serum IgG could be detected immediately post partum (T0) in 75% of the foals, and 42.82% of the newborn foals acquired a serum concentration of more than 800 mg/dl IgG within 8 h of birth. Compared to the electrophoresis, the glutaraldehyde test scored better (85%) than the enzyme immunoassay (74%), although both are accurate and safe to use since they clearly distinguish between safe and unsafe IgG concentrations.

Open Access: Yes

DOI: 10.1556/004.2018.051

Working While Studying Abroad: Cultural Embeddedness of International Students’ Employment in Hungary

Publication Name: Social Sciences

Publication Date: 2026-03-01

Volume: 15

Issue: 3

Page Range: Unknown

Description:

Student employment has become an increasingly common feature of higher education, yet research on international students has predominantly approached paid work as an economic necessity. This article examines student employment as a culturally embedded social practice among international students in Hungary, focusing on employment patterns and cultural value orientations. The study applies a mixed-methods design, combining a focus group interview with an online questionnaire survey conducted among international students at a Hungarian university (N = 61). Cultural value orientations were measured using Hofstede’s Values Survey Module, and differences between working and non-working students were analyzed using inferential statistical methods. The results show that international students’ employment is dominated by flexible, low-entry-threshold jobs, particularly platform-based delivery work, while study-related or professional positions remain less common and are associated with higher income levels. Employment participation was significantly related to gender and academic year, with male students and those in higher years of study being more likely to work. Regarding cultural value orientations, a statistically significant difference between working and non-working students emerged only along the masculinity–femininity dimension, with working students displaying more performance-oriented values. The findings highlight that international student employment is associated with both structural constraints and culturally grounded value orientations.

Open Access: Yes

DOI: 10.3390/socsci15030192

ALTERNATIVE USES FOR CRUSHED STONE PRODUCTS GENERATED TO MEET THE RAW MATERIAL NEEDS OF ASPHALT PRODUCTION IN HUNGARY

Publication Name: Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu

Publication Date: 2023-11-30

Volume: Unknown

Issue: 5

Page Range: 66-71

Description:

In Hungary, quarries that produce stone products for wearing courses of asphalt pavements also produce a significant amount of 0/4, 0/8 and 4/8 mm fractions. Because of Hungary’s pavement design and asphalt production practices, these fractions do not have a suitable market and can thus be sold on alternative markets. Purpose. To demonstrate the feasibility of using crushed fractions of 0/4 and 0/8 mm in the protection and base layers of asphalt pavements instead of sandy gravel with 0/22 mm fraction. Methodology. The CBR method was applied to evaluate the comparability of characteristics such as particle size distribution and loadbearing capacity. The combination of the Proctor and CBR tests allowed someone to compare the expected technological characteristics of the dominant and alternative aggregate types, such as their sensitivity to water and loadbearing capacity. Findings. The results demonstrated that the performance characteristics of conventionally used sandy gravel with a size of 0/22 mm can be achieved and exceeded by crushed material with much smaller maximum grain sizes – i.e., 0/4 and 0/8 mm. Originality. The paper presents an original study that contradicts the industry’s actual decline of crushed stone (0/4 and 0/8 mm fractions) for asphalt pavement protection layers. The potential effectiveness and functionality of the proposed coating are demonstrated through convincing tests, and thus new data and insights are introduced into the Hungarian construction industry’s practice. Practical value. The test results greatly helped in achieving the high demands of the private industrial project by proposing an alternative variant of crushed stone of 0/8 mm fraction rather than the originally planned dominant sand and gravel material. The asphalt paving experience on this site clearly demonstrated the viability of the alternative aggregate option for Hungarian roads.

Open Access: Yes

DOI: 10.33271/NVNGU/2023-5/066

Elasto-Plastic limit analysis of reliability based geometrically nonlinear bi-directional evolutionary topology optimization

Publication Name: Structures

Publication Date: 2021-12-01

Volume: 34

Issue: Unknown

Page Range: 1720-1733

Description:

This paper presents elasto-plastic limit analysis of reliability-based geometrically nonlinear topology optimization. For this purpose, by reason of uncertainties the volume fraction is considered randomly during optimization. Thus reliability-based design has been considered for solving the problems. To perform reliability-based topology optimization design, the Monte-Carlo simulation method has been applied to calculate the probability of failure, thus the reliability index. Besides, bi-directional evolutionary structural optimization (BESO) method is used to consider the effect of geometrically nonlinear design for elasto-plastic analysis. Plastic behavior is controlled by applying a bound on the plastic limit load multipliers using limit analysis. The adequacy of the proposed method is exhibited by three 2D benchmark problems. 2D models of L-shape beam and U-shaped plate are considered for reliability-based design and geometrically nonlinear analysis topology optimization in case of elastic material. Additionally, 2D and 3D elasto-plastic material models have been considered to demonstrate that the proposed method can find the optimal topology of elasto-plastic models for reliability-based design and geometrically nonlinear analysis.

Open Access: Yes

DOI: 10.1016/j.istruc.2021.08.105

Use of multifunctional geocomposites as dampers for structure subjected to external vibrations

Publication Name: 11th International Conference on Geosynthetics 2018 Icg 2018

Publication Date: 2018-01-01

Volume: 4

Issue: Unknown

Page Range: 2796-2802

Description:

Vibrations created by road or railway traffic are transmitted though soil to adjacent structures. In densely populated urban areas this can have an impact on the health and well-being of residents as well as affecting the value of their property. Geocomposite products with 3D looped filament polyamide cores have been used successfully over the world for decades in vertical and horizontal drainage applications. In situ monitoring coupled with complementary laboratory testing has led to a comprehensive understanding of the capabilities of these products, which due to the long-term elasticity of the polyamide core enables these materials to reduce the transmission of these vibrations. This paper discusses the efficiency of the geocomposite materials on the basis of newly executed field test results regarding the behaviour of geocomposite materials in dynamic pressure environment.

Open Access: Yes

DOI: DOI not available