Search Everything

Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of Kiss János.

Publications - 6374

Wave Propagation in Composite Metal Foams Investigated by Finite Element Methods in Two Dimensional Case

Balázs Pere Márió Kovács

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 224-230

Description:

The presented work is based on the wave propagation properties of composite metal foams in a two-dimensional model with a focus on the energy absorption. The energy flux method was used for the study and it was shown that composite metal foams have a significant energy absorption capacity. Hence, they can be used with high efficiency, for example, as a sound insulation layer. A pair of materials commonly used in syntactic metal foams, iron shell and aluminium matrix material, was used in the finite element model. Damping is included in the calculations to avoid oscillations.

Open Access: Yes

DOI: 10.3233/ATDE240549

Performance and analysis of unitized stacked load units under vibration simulation

Péter Böröcz Bence Molnar

Publication Name: Fme Transactions

Publication Date: 2020-01-01

Volume: 48

Issue: 1

Page Range: 96-101

Description:

The unitized loads are the major form of the packed product transportation in logistics, and in most of the cases the packages are fixed to the pallet with straps, stretch film or these combinations to avoid the possible damages of products inside. During transportation various physical events such as vibration affect the product-packaging system. The nature of this vibration between the layers of stacked unit is not fully researched and understood. This paper focuses on the different motion of the layers in the unitized load in the function of the fixing modes using laboratory vibration simulations. Therefore, multiple unitized loads were built from the same quality corrugated paper boxes in three layers with various fixing modes to measure each layer motion separately. To carry out the simulation procedure, acceleration and vibration intensity on each layer was observed under sine and random vibration simulation. The recorded data shows, which layer motion is the most disparate from the excited motion, and which fixing variant causes this difference.

Open Access: Yes

DOI: 10.5937/fmet2001096M

A work in progress - accreditation of forensic DNA laboratories as a part of the, European Forensic Science Area 2020 (EFSA 2020)” concept

Mónika Nogel Andras Czebe Gabor Kovacs Zsolt Pádár

Publication Name: Forensic Science International Genetics Supplement Series

Publication Date: 2019-12-01

Volume: 7

Issue: 1

Page Range: 836-837

Description:

As 2020 is approaching, various stakeholders and EU Member States are currently implementing some elements of the EFSA2020 concept. EFSA2020 offers Europe the chance to raise the quality level of its forensic science and in doing so, improve the public's confidence in the administration of justice. However, there is plenty of opportunity for further progress in creating the common forensic area. The paper will focus on accreditation of forensic DNA laboratories in V4 countries.

Open Access: Yes

DOI: 10.1016/j.fsigss.2019.10.195

ANALYSIS OF THE CURRENT STATE AND DYNAMICS OF TOURISM INDUSTRY DEVELOPMENT IN AKMOLA REGION, KAZAKHSTAN

Tamara Gajić Aigul Ageleuova Dinara Kadyrbekova Yerlan Issakov Yerkegul Dyussekeyeva Dinara Zhaksybekova

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 60

Issue: Unknown

Page Range: 1348-1361

Description:

Despite Kazakhstan’s unique natural and climatic features, rich recreational potential, and developed sanatorium infrastructure, the country has not yet become a competitive international tourist destination. In particular, the Akmola region, which has notable natural assets, remains underdeveloped in terms of tourism, and its potential is not effectively utilized to attract foreign tourists. This study aims to analyze the current state of tourism in the Akmola region, identify key problems, and propose possible solutions to enhance its development. To assess public perception, a 14-item questionnaire was created based on relevant literature and distributed via social networks. Survey questions were offered in the form of docs.google.com to facilitate distribution. A total of 503 respondents participated in the survey. Results show that Burabai National Park was recognized by 43.1% of respondents as having high tourism potential, followed by Kokshetau National Park (28.2%) and Buiratau (16.5%). At the same time, as for the attractiveness of tourist and recreational facilities in Akmola region, 57.1% of respondents answered that they are unique in nature, and 26.2% believe that ecotourism has great opportunities. Because the unique nature of Akmola region is a diverse landscape that includes: mountains, lakes, rivers, forests and steppes. However, 71% of respondents expressed dissatisfaction with the level of hotel development in the region, and over 50% emphasized the need to improve tourism infrastructure. The findings highlight the necessity of integrated development of the region’s tourist and recreational resources. In particular, it is necessary to repair the main roads, ensure the renewal of public transport and tourist routes. This allows us to provide accommodation in accordance with international standards, provide quality services at an affordable price and attract significant investment. Strengthening these aspects will not only improve the attractiveness of the region to global tourists but also contribute to the socio-economic well-being of the local population and foster the sustainable development of the Akmola region. Ultimately, the proposed strategies for the development of the tourism industry in Akmola region should be aimed at the effective use of local resources and increasing the competitiveness of the region, improving the socio-cultural level of the region by increasing the flow of tourists.

Open Access: Yes

DOI: 10.30892/gtg.602spl30-1506

Numerical plastic analysis of non-prismatic reinforced concrete beams strengthened by carbon fiber reinforced polymers

Majid Movahedi Rad Sarah Khaleel Ibrahim

Publication Name: Fib Symposium

Publication Date: 2020-01-01

Volume: Unknown

Issue: Unknown

Page Range: 208-215

Description:

The non-prismatic reinforced concrete (RC) beam considered a unique case in structural engineering as it has variable depth all over beam section and it doesn’t have sufficient information in structural codes, this can put structural engineers in a challenge to predict how this beam will react under specific types of loads or with different geometrical variables and strengthening existence. In this research, concrete plastic damage constitutive model developed and used to explore the shear strength of non-prismatic RC beam structure. Furthermore, in order to improve the shear strength of existent RC beams, Carbon Fiber Reinforced Polymers (CFRP) strips are attached to the surface of the critical sections. For this aim, initially numerical model was calibrated according to the data obtained from laboratory tests then a series of numerical simulations with different variables are carried out to investigate the shear behavior and these variables were: haunch angle α value and CFRP strips existence (composite status). The numerical results show that changing beams geometry (haunch angle α value) can have an influence over shear strength, in addition, using CFRP strips has an obvious effect on the failure behavior of the non-prismatic RC beam structure. Finite element simulations are executed by using ABAQUS.

Open Access: Yes

DOI: DOI not available

Intelligent production of the future - first results of a survey

No authors available

Publication Name: 17th IMEKO TC 10 and EUROLAB Virtual Conference "Global Trends in Testing, Diagnostics and Inspection for 2030"

Publication Date: 2020-01-01

Volume:

Issue:

Page Range: 402-407

Description:

Witnessing the unprecedented scale and speed of industry transformation due to digitization in general and the emergence of smart solutions in all aspects of manufacturing in particular, it is well justified to deal with the question of what production of the future will look like. How intelligent will it be when the hard challenges and disruptive effects of the changes will be overcome, and what are the chances to meet the critical requirements of collaboration and cooperation, flexibility and competitiveness? What are the technological and management tools to avoid being stuck in the so-called pilot purgatory? These issues are addressed in an international survey based on a questionnaire specifically tailored to conclude to viable options and recommendations for industrial companies. The results that are mostly in conformity with those published in the literature show that there is yet a lot to do to facilitate a definite turn in the mindset of the actors and to make them realize the relevance of simultaneous and continuous cultural and technological development.

Open Access: No

DOI: DOI not available

Spatiotemporal prediction of soil moisture content at various depths in three soil types using machine learning algorithms

A. Széles Omar Hijazi Nour Ali Tarek Alahmad A. Nyéki M. Neményi

Publication Name: Frontiers in Soil Science

Publication Date: 2025-01-01

Volume: 5

Issue: Unknown

Page Range: Unknown

Description:

Introduction: Accurate prediction of soil moisture content (SMC) is crucial for agricultural systems as it affects hydrological cycles, crop growth, and resource management. Considering the challenges with prediction accuracy and determining the effect of soil texture, depth, and meteorological data on SMC variation and prediction capability of the used models, this research has been conducted. Methods: Three machine learning (ML) models—random forest regression (RFR), eXtreme gradient boosting (XGBoost), and long short-term memory (LSTM)—were developed to predict SMC in three soil types (loam, sandy loam, and silt loam) at five depths of 5, 20, 40, 60, and 80 cm. The dataset was collected during the maize season in 2023, encompassing meteorological parameters collected using Internet of Things (IoT)-based sensors and SMC data calculated using the gravimetric method. Results: The results showed variations in SMC in all studied soil types and depths, with silt loam exhibiting the highest variation in SMC. RFR demonstrated high accuracy at different depths and soil types, particularly in loam soil, at a depth of 80 with a root mean square error (RMSE) value of 0.89 and a mean absolute error (MAE) value of 0.74, and in silt loam at 40 cm depth with an RMSE value of 0.498 and an MAE of 0.416. LSTM performed effectively at shallower and moderate depths (60 and 20 cm) with RMSE values of 0.391 and 0.804 and MAE values of 0.335 and 0.793, respectively. In sandy loam soil at 5 cm depth, XGBoost displayed minimal errors and robust performance at the same depths with higher accuracy, achieving an RMSE of 0.025 and an MAE of 0.159. Analysis of training and validation loss revealed that the LSTM model stabilized and improved with more epochs, showing a more consistent decrease in MSE, while RFR and XGBoost exhibited higher performance with increased model complexity, shown in low MSE and RMSE values. Comparisons between measured and predicted SMC% values demonstrated the models’ effectiveness in capturing soil moisture dynamics. Furthermore, feature importance analysis revealed that solar radiation and precipitation were the most influential predictors across all models, offering critical insights into dominant environmental drivers of soil moisture variability. Discussion: By providing precise SMC predictions across different spatial and temporal scales, this study underscores the value of ML models for SMC prediction, which could have implications for improving irrigation scheduling, reducing water wastages, and enhancing sustainability.

Open Access: Yes

DOI: 10.3389/fsoil.2025.1612908

Status of Agricultural Irrigation in Hungary

Renato Kalocsai Nóra Gombköto Bálint Süle

Publication Name: Bio Web of Conferences

Publication Date: 2024-08-23

Volume: 125

Issue: Unknown

Page Range: Unknown

Description:

Some prediction models indicate climate change will have a more pronounced impact on Hungary than previously anticipated. Traditionally, Hungarian agriculture is based on dryland farming, with irrigated farming practiced in a few areas. Land degradation is a significant concern. However, the loss of arable land due to water scarcity could be more widespread. One potential solution is to irrigate, which could maintain soil fertility for decades. Utilizing modern irrigation techniques is a crucial approach to making irrigation as sustainable as possible while ensuring yield and quality. This study aims to provide an authentic picture of irrigation in Hungary, past and present. It also aims to provide suggestions for the near future, drawing on examples from abroad.

Open Access: Yes

DOI: 10.1051/bioconf/202412501001

Notes on the rescaled algorithm for fuzzy cognitive maps

István A. Harmati Ĺaszĺo T. Ḱoczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2020-01-01

Volume: 819

Issue: Unknown

Page Range: 43-49

Description:

Fuzzy Cognitive Maps are network-like decision support tools, where the final conclusion is determined by an iteration process. Although the final conclusion relies on the assumption that the iteration reaches a fixed point, it is not straightforward that the iteration will converge to anywhere, since it can produce limit cycles or chaotic behaviour also. In this paper, we briefly analyse the behaviour of the so-called rescaled algorithm for fuzzy cognitive maps with respect to the existence and uniqueness of fixed points.

Open Access: Yes

DOI: 10.1007/978-3-030-16024-1_6