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Publications - 6374

Estimation of optimum moisture content and maximum dry unit weight of fine-grained soils using numerical methods

Elizabeth Theron Armand Augustin Fondjo R. P. Ray

Publication Name: Walailak Journal of Science and Technology

Publication Date: 2021-08-15

Volume: 18

Issue: 16

Page Range: Unknown

Description:

Soil compaction is one of the basic engineering techniques, which is carried out to guarantee the stability of soils dependent on specified strength. Nonetheless, in large-scale construction projects, the estimation of compaction features required tremendous effort and time that can be saved utilizing empirical relationships at the initial phases. It becomes critical to develop models to predict the compaction features, namely the maximum dry unit weight (γdmax) and optimum water content (WOP). This article attempts to develop models to predict the γdmax and WOP of fine-grained clay soils. Geotechnical tests such as grain size distribution, Atterberg limits, specific gravity, and proctor compaction tests are performed to assess soil samples' physical and hyro-mechanical characteristics. Multivariate analysis is conducted using MINITAB 18 software to develop the predictive models. The validation process of developed models includes the determination coefficient, probability value (p-value), comparison of the predicted values with experimental values, comparison of the models proposed in this study with other existing models found in the recent literature, and employing a different soil data set. The predicted values obtained from the models proposed in this research project are more accurate than other models developed recently. The proposed models estimate the compaction features of fine-grained clay soils with acceptable precision.

Open Access: Yes

DOI: 10.48048/wjst.2021.22792

Nonlinearity in the finite element simulations

Miklós Kuczmann

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2010-12-20

Volume: 86

Issue: 12

Page Range: 83-86

Description:

The paper presents the four possible nonlinear schemes to solve nonlinear static magnetic field problems and eddy current field problems by the fixed point technique while using the polarization formulation to linearize the nonlinear curve of the constitutive law of ferromagnetic materials. The finite element method (FEM) has been chosen as a numerical tool to present the applicability of the technique.

Open Access: Yes

DOI: DOI not available

The coupled cluster method and entanglement in three fermion systems

Gábor Sárosi János Pipek Péter Lévay Szilvia Nagy

Publication Name: Journal of Mathematical Physics

Publication Date: 2017-01-01

Volume: 58

Issue: 1

Page Range: Unknown

Description:

The Coupled Cluster (CC) and full CI expansions are studied for three fermions with six and seven modes. Surprisingly the CC expansion is tailor made to characterize the usual stochastic local operations and classical communication (SLOCC) entanglement classes. It means that the notion of a SLOCC transformation shows up quite naturally as a one relating the CC and CI expansions, and going from the CI expansion to the CC one is equivalent to obtaining a form for the state where the structure of the entanglement classes is transparent. In this picture, entanglement is characterized by the parameters of the cluster operators describing transitions from occupied states to singles, doubles, and triples of non-occupied ones. Using the CC parametrization of states in the seven-mode case, we give a simple formula for the unique SLOCC invariant I. Then we consider a perturbation problem featuring a state from the unique SLOCC class characterized by I. For this state with entanglement generated by doubles, we investigate the phenomenon of changing the entanglement type due to the perturbing effect of triples. We show that there are states with real amplitudes such that their entanglement encoded into configurations of clusters of doubles is protected from errors generated by triples. Finally we put forward a proposal to use the parameters of the cluster operator describing transitions to doubles for entanglement characterization. Compared to the usual SLOCC classes, this provides a coarse grained approach to fermionic entanglement.

Open Access: Yes

DOI: 10.1063/1.4974510

Anchoring Bias in Generative AI: A Comparative Analysis of Large Language Models in a Pricing Scenario

Boglárka Eisingerné Balassa Réka Koteczki

Publication Name: 2025 IEEE 16th International Conference on Cognitive Infocommunications Coginfocom 2025

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 115-120

Description:

Generative artificial intelligence systems are increasingly appearing in decision-support processes, so it is essential to address the extent to which these models are prone to human-like cognitive biases. This study investigates whether anchoring bias can be detected in large language models in a simulated market decision-making situation where the AI's task was to determine the launch price of a new smartwatch. In the experimental setup, five different generative AI models (GPT-4o, GPT-4.5, Gemini 2.5 Pro, Grok 3 Beta, Sonar) were tested with low and high numerical anchor values. For each model, 20 runs were performed under both conditions (a total of 200 queries), and the results were analyzed using an independent sample t-test and an anchoring index. Based on the results, the GPT-4o model showed significant anchoring bias (AnI=13.12%), while in the case of GPT-4.5, this was more moderate (AnI =5.67%). The responses of the other models were completely consistent, with a standard deviation of 0 and no changes observed between different anchoring conditions. The hypothesis tests confirmed that the anchoring effect is not universally characteristic, but rather a model-dependent behavioral peculiarity. The study contributes to the measurement of bias sensitivity in artificial intelligence and to the development of a possible future behavioral benchmark. The practical significance of the research is that it draws attention to the fact that individual models may be sensitive to irrelevant numerical contexts, which can lead to biased results in business decisions. Therefore, for companies, not only language performance but also this type of bias profile may be an important consideration when selecting and deploying generative AI systems.

Open Access: Yes

DOI: 10.1109/CogInfoCom66819.2025.11200816

Damping determination by the half power bandwidth method for a rectangular flat plate with bitumen damping layer application

Dániel Feszty Balázs Vehovszky Marcell Treszkai

Publication Name: Journal of Vibroengineering

Publication Date: 2021-08-01

Volume: 23

Issue: 5

Page Range: 1267-1277

Description:

Damping Loss Factor (DLF) is an important input parameter in Statistical Energy Analysis (SEA) simulations, therefore its accurate determination via measurement is crucial from simulation accuracy point of view. This paper presents a methodology for the accurate measurement of DLF via the Half Power Bandwidth Method (HPBM) for three test cases: A) a rectangular steel plate, b) the same plate with viscoelastic bitumen sheets imposed on the middle of plate and c) the same plate with the viscoelastic bitumen sheets placed randomly. The aim of the different bitumen layer applications was to develop a methodology for representing them in Statistical Energy Analysis, since this simulation technique takes into account only the coverage of the damping layers but not their distribution over a panel. Measurement of the DLF in random locations on the plate gave the appropriate parameters for the simulation. Measurement results were then applied in SEA simulations, which showed good agreement with the experimental results in all test cases, with the maximum difference of only 2 dB.

Open Access: Yes

DOI: 10.21595/jve.2021.21938

Travel Demand Increment Due to the Use of Autonomous Vehicles

Balázs Horváth Dilshad Mohammed

Publication Name: Sustainability Switzerland

Publication Date: 2023-06-01

Volume: 15

Issue: 11

Page Range: Unknown

Description:

Advanced technology available in promising fully autonomous vehicles (AVs) will encourage people to travel more than they have up to now using their regular vehicles. It is believed that the disadvantages of manually driven vehicles, such as driving fatigue, stressful feelings, aging physical skills deterioration, and other unwanted effects, will vanish once AVs are employed. For this purpose, this study presents the results of a large questionnaire performed in Győr, Hungary, about the public perception and acceptance of AVs. In addition, assessing the impact of using such technology on increasing travel demand when people can alter their mode of transport to an AV. The study demonstrates that respondents’ prior knowledge of AVs plays a crucial role in generating a greater number of trips when they are able to use AVs. Furthermore, it has also been found that providing further awareness and education to the population about the meaning of the term autonomous vehicles and widening their insights about the new features provided by these vehicles will result in a higher number of trips. Eventually, this information will act as a considerable indicator to provide a prior understanding of the possible challenges that may impact the sustainability of future transport systems.

Open Access: Yes

DOI: 10.3390/su15118937

Case study-based scenario analysis comparing GHG emissions of wine packaging types

Boglárka Eisingerné Balassa Agnes Csiba-Herczeg Réka Koteczki Bence Lukács

Publication Name: Cleaner Engineering and Technology

Publication Date: 2023-08-01

Volume: 15

Issue: Unknown

Page Range: Unknown

Description:

The wine market has faced a serious problem in recent years, as the cost and environmental impact of commonly used wine bottles has become unsustainable for producers. In this paper, we present a case study of one of the largest wineries in Hungary, with the aim of investigating sustainability factors related to packaging materials. The winery has provided us with data on three types of bottles (Burgundy Glass Bottle, Bordeaux Glass Bottle and Bordeaux polyethylene terephthalate (PET) Bottle), for which the greenhouse gas emissions (GHG) related to production and the Co2e related to transport are calculated as part of Life Cycle Analysis (LCA). The maximum transport weight per truck is 23 501.70kg for Bordeaux PET bottle, 19 951.14 kg for Burgundy glass bottle and 22 290.18 kg for a Bordeaux glass bottle. In Hungary, a new law on packaging will come into force, whereby bottles will be subject to a deposit scheme. For this reason, eight scenarios were set up to calculate GHG emission. In the study, two types of raw material were investigated, glass and polyethylene terephthalate (PET), and calculations were made with recycled and reused materials. As a result of the study, the cases with the lowest Carbon dioxide equivalent (CO2e) emissions are those with the highest amounts of recycled and reused packaging materials. Among the scenarios presented, the one with the lowest emissions in terms of production and transport is the case where 70% Bordeaux Recycled Glass Bottle and 30% rPET are used (247 231.697 kgCO2e). This scenario has 64% less GHG emissions than the scenario where only glass is used. In the present study, we performed a cradle-to-gate analysis of wine packaging, which may be worth expanding in future research with additional input and output factors during the product life cycle. The research carried out in this study also lays the foundation for research on consumer behaviour related to alternative wine packaging.

Open Access: Yes

DOI: 10.1016/j.clet.2023.100649

Performance analysis and comparison of four DNS64 implementations under different free operating systems

Sándor Répás Gábor Lencse

Publication Name: Telecommunication Systems

Publication Date: 2016-12-01

Volume: 63

Issue: 4

Page Range: 557-577

Description:

The depletion of the global IPv4 address pool made the deployment of IPv6, the new version of the Internet Protocol, inevitable. In this paper, the transition mechanisms for the first phase of IPv6 deployment are surveyed and the DNS64 plus NAT64 solution is found appropriate. The most important free and open source DNS64 implementations are selected: BIND, TOTD, Unbound and PowerDNS. The test environment and the testing method are described. The first three of the selected DNS64 implementations are tested under Linux, OpenBSD and FreeBSD whereas PowerDNS is tested only under Linux. Their performance characteristics (response time, number of answered requests per second, CPU and memory consumption) are measured and compared. The effect of the hardware architecture of the test computer is also examined by using single-core, dual-core and quad-core test computers. The stability of all the tested DNS64 solutions are analyzed under overload conditions to test if they may be used in production environments with strong response time requirements. Our measurement results show significant differences in the performance of the tested DNS64 implementations, e.g. Unbound served four times more requests per second than PowerDNS (when executed by a single-core CPU under Linux and load was generated by eight clients). However, no absolute order can be determined, because it is influenced by different factors such as the architecture of the hardware, especially the number of cores, because BIND and PowerDNS are multithreaded (therefore they can profit from the multiple cores) but TOTD and Unbound are not. Also the operating system of the DNS64 server has significant influence on the performance of the DNS64 implementations under certain conditions. All the details of our measurements are disclosed and all the results are presented in the paper. An easy-to-use implementation selection guide is also provided as a short summary of our high number of results.

Open Access: Yes

DOI: 10.1007/s11235-016-0142-x

Advancing Lubrication Modeling: A Preliminary Study of Finite Element Solutions for Cavitation-Aware Reynolds Equation †

Balázs Pere Martin Lénárt

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

In the modern automotive industry, one of the most challenging tasks is minimizing energy losses caused by friction. Despite its significance, only a limited number of numerical simulation tools are available for effectively addressing lubrication-related problems. The accurate modeling of lubrication phenomena requires solving a specialized form of the Navier–Stokes equations, which accounts for cavitation effects within a thin fluid film. To address this, a finite element software is currently under development to solve the Reynolds equation while incorporating cavitation effect. This advanced tool enables the precise simulation of how the microgeometry of contacting surfaces influences the lubrication characteristics of the fluid film. By optimizing these surface features, the research aims not only to reduce energy dissipation but also to ensure the long-term durability of mechanical components. The findings obtained thus far demonstrate promising improvements in lubrication efficiency and structural longevity. These results, along with the methodological advancements, will be presented in detail at the upcoming conference.

Open Access: Yes

DOI: 10.3390/engproc2025113002