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Publications - 6374

Methodology development on aquatic environmental assessment

László Dióssy József Németh Viktor Sebestyén Péter Huszka Tatjana Juzsakova Cuong Le Phuoc Ákos Rédey Endre Domokos

Publication Name: Environmental Science and Pollution Research

Publication Date: 2017-04-01

Volume: 24

Issue: 12

Page Range: 11126-11140

Description:

The Water Framework Directive aims at reaching the good ecological status of the surface and ground water bodies (László et al. Microchem J 85(1):65–71, 2007). The paper deals with quality evaluation of waters with special focus on the water chemistry parameters as defined in the Water Framework Directive and pertaining legal regulations. The purpose of this paper is to devise a quantitative type of water quality assessment method which could provide rapid, accurate, and reliable information on the quality of the surface waters by using water chemistry parameters. Quality classes have been defined for every water chemistry parameter in light of the legal limit values of the water parameters. In addition to this, weight indices were calculated on the basis of the outcome of the paired comparison of water chemistry parameters and normalized matrix. This was followed by the parametric level analysis of the water chemistry parameters, and finally, the aquatic environment index (AEI) was calculated, which provided general information on the quality of water regarding the water chemistry parameters. The method was illustrated on Lake Balaton, Hungary in which case water samples taken from Balatonfüred City lake area were analyzed and evaluated with the method devised.

Open Access: Yes

DOI: 10.1007/s11356-016-7941-1

Current trends in textile wastewater treatment—bibliometric review

Roberta Peila Diego Omar Sanchez Ramirez Mohammad Tajul Islam Md Abdullah Al Mamun Abul Fazal Mohammad Fahad Halim

Publication Name: Environmental Science and Pollution Research

Publication Date: 2024-03-01

Volume: 31

Issue: 13

Page Range: 19166-19184

Description:

A bibliometric study using 1992 to 2021 database of the Science Citation Index Expanded was carried out to identify which are the current trends in textile wastewater treatment research. The study aimed to analyze the performance of scholarly scientific communications in terms of yearly publications/citations, total citations, scientific journals, and their categories in the Web of Sciences, top institutions/countries and research trends. The annual publication of scientific articles fluctuated in the first ten years, with a steady decrease for the last twenty years. An analysis of the most common terms used in the authors’ keywords, publications’ titles, and KeyWords Plus was carried out to predict future trends and current research priorities. Adsorbent nanomaterials would be the future of wastewater treatment for decoloration of the residual dyes in the wastewater. Membranes and electrolysis are important to demineralize textile effluent for reusing wastewater. Modern filtration techniques such as ultrafiltration and nanofiltration are advanced membrane filtration applications.

Open Access: Yes

DOI: 10.1007/s11356-024-32454-3

Development of production control in small batch production

Thomas B. Ladinig Péter Németh

Publication Name: Matec Web of Conferences

Publication Date: 2016-10-25

Volume: 81

Issue: Unknown

Page Range: Unknown

Description:

Our aim with this paper is to develop a new performance measurement and control system for small batch production in the automotive industry. For this reason, we present our previous research results for warehouse performance measurement and adopt its methodology to production control. The proposed method is based on artificial intelligence (neural networks).

Open Access: Yes

DOI: 10.1051/matecconf/20168106001

On a translated frame-based approach to geometric modeling of robots

Claudiu Radu Pozna Radu Emil Precup

Publication Name: Robotics and Autonomous Systems

Publication Date: 2017-05-01

Volume: 91

Issue: Unknown

Page Range: 49-58

Description:

The geometric modeling gives the structure configuration and enables the derivation of the kinematic or dynamic models of robots, it involves a procedure for reference frames definition and a specific formalism that allows the poses transformations from a reference frame to another one. This paper proposes a new geometrical modeling approach, referred to as the translated frame-based approach, which has two main advantages over the state-of-the art, namely the reference frames definition is intuitive and it eliminates the computation of the transformation operators. The frames definitions are reduced to apparent translations of the base frame and the computation is replaced with choosing an operator from a collection of six operators that cover all transformation possibilities. The suggested approach is validated by the computation of the geometric models of a PUMA robot and a redundant robot.

Open Access: Yes

DOI: 10.1016/j.robot.2017.01.004

Complex analysis of vehicle and environment dynamics

I. Lakatos Dániel Pup T. Péter Ferenc Szauter

Publication Name: Mesa 2016 12th IEEE ASME International Conference on Mechatronic and Embedded Systems and Applications Conference Proceedings

Publication Date: 2016-10-07

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper introduces mathematical modelling, the development of diagnostic methods and the design of producing a prototype. Its aim is to establish a new, accredited research laboratory for the testing and quality assurance of hybrid and electric driven vehicles. The task is very complex and it puts special emphasis on environmental and safety issues. It highlights the fact that its application under laboratory conditions establishes a new situation for measurement. It points out that the complex research which develops diagnostic techniques and procedures related to real operation and urban environment, moreover, applies optimal planning methods still has novelty.

Open Access: Yes

DOI: 10.1109/MESA.2016.7587112

Fingerprint Revolution: Unleashing the Potential of Modified Bacterial Memetic Evolution for a Paradigm Shift in Fingerprint Recognition and Optimization

Ahmad A. Momani Ahmad A. Momani Ahmad A. Momani Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2026-01-01

Volume: 1222

Issue: Unknown

Page Range: 115-123

Description:

Biometrics refers to the science of measuring and analyzing biological or behavioral characteristics to identify people. It has been used in many fields including digital forensics, identification systems, and security. The most common biometric nowadays is fingerprint, which has improved significantly in the last two decades. Several issues in fingerprint identification and authentication systems have been raised due to factors such as displacement of the finger while scanning, fingerprint rotation, major cuts, distortions, and substandard quality images lowering the overall system efficiency. Evolutionary algorithms evolved in recent years to enhance the system performance over time. The proposed system uses a modified version of the bacterial memetic evolutionary algorithm to overcome the identification issues and to help and support forensic experts to make reliable decisions faster. The proposed system was evaluated on five different databases and the results demonstrated that the system succeeded in identifying the correct match from the first candidate in all cases among all examined databases.

Open Access: Yes

DOI: 10.1007/978-3-031-97879-1_13

Navigating Inflation Challenges: AI-Based Portfolio Management Insights

Tibor Bareith László Vancsura Tatay Tibor

Publication Name: Risks

Publication Date: 2024-03-01

Volume: 12

Issue: 3

Page Range: Unknown

Description:

After 2010, the consumer price index fell to a low level in the EU. In the euro area, it remained low between 2010 and 2020. The European Central Bank has even had to take action against the emergence of deflation. The situation changed significantly in 2021. Inflation jumped to levels not seen for 40 years in the EU. Our study aims to use artificial intelligence to forecast inflation. We also use artificial intelligence to forecast stock index changes. Based on the forecasts, we propose portfolio reallocation decisions to protect against inflation. The forecasting literature does not address the importance of structural breaks in the time series, which, among other things, can affect both the pattern recognition and prediction capabilities of various machine learning models. The novelty of our study is that we used the Zivot–Andrews unit root test to determine the breakpoints and partitioned the time series into training and testing datasets along these points. We then examined which database partition gives the most accurate prediction. This information can be used to re-balance the portfolio. Two different AI-based prediction algorithms were used (GRU and LSTM), and a hybrid model (LSTM–GRU) was also included to investigate the predictability of inflation. Our results suggest that the average error of the inflation forecast is a quarter of that of the stock market index forecast. Inflation developments have a fundamental impact on equity and government bond returns. If we obtain a reliable estimate of the inflation forecast, we have time to rebalance the portfolio until the inflation shock is incorporated into government bond returns. Our results not only support investment decisions at the national economy level but are also useful in the process of rebalancing international portfolios.

Open Access: Yes

DOI: 10.3390/risks12030046

Numerical investigation on flexural buckling behavior of hot-rolled steel columns at elevated temperatures

Samer Nemer F. Papp

Publication Name: Periodica Polytechnica Civil Engineering

Publication Date: 2021-07-13

Volume: 65

Issue: 3

Page Range: 918-927

Description:

In this paper, a numerical investigation on the global buckling capacity of the axially compressed steel columns with hot-rolled I cross-section at elevated temperatures is presented. Geometrically and materially non-linear finite element model and the ABAQUS software were used to determine the buckling resistance. The numerical ABAQUS model was validated using experimental results available in the literature, and then the validated numerical model was used to generate a database of load-carrying capacity. The parametric study covered three different cross-section classes (class 1, 2 and 3), ten different non-dimensional slenderness ̄λ = 0.5, 0.6, 0.7, 0.9, 1.1, 1.3, 1.5, 1.7, 1.9, 2.0), three different temperatures (400°C, 500°C, 600°C), and two stress-strain constitutive relations including (the nonlinear material model adopted in the European guidance for structural fire design EN1993-1-2, and a Bilinear material model), with and without residual stress. The influence of the model parameters on the load capacity of steel columns at elevated temperatures was evaluated. The results of the parametric study were compared with the results of the simplified calculation model presented in EN1993-1-2.

Open Access: Yes

DOI: 10.3311/PPci.17799

The Role of Robotics in Digital Education: A Steam-Based Approach for Curriculum Development

Zoltan Balogh Eniko Nagy Karoly Farkas Gyorgy Molnar

Publication Name: Saci IEEE International Symposium on Applied Computational Intelligence and Informatics

Publication Date: 2025-01-01

Volume: Unknown

Issue: 2025

Page Range: 605-608

Description:

The integration of robotics and artificial intelligence (AI) into education has become increasingly significant as digital technology evolves. This paper explores the historical development and current trends in digital culture education, emphasizing the need for a STEAM-based (Science, Technology, Engineering, Arts, Mathematics) approach. The study argues that the inclusion of robotics in education does not necessitate the introduction of new subjects but rather an adaptation of existing methodologies. We propose a structured framework for integrating robotics into current educational curricula, emphasizing interdisciplinary learning and problemsolving skills. The conclusions suggest that moving beyond traditional subject boundaries can foster a more holistic and effective learning environment.

Open Access: Yes

DOI: 10.1109/SACI66288.2025.11030074