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Found 6374 publications

THE IMPACT OF COVID-19 AND THE RUSSIAN-UKRAINIAN CONFLICT ON THE ORGANISATIONS STUDIED

Arnold Tóth Kőműves Zsolt Módosné Szalai Szilvia Kálmán Botond Szabó Szentgróti Gábor Dajnoki Krisztina Pató Gáborné Szűcs Beáta Poór József Walter Virág

Publication Name: Vezetestudomany

Publication Date: 2024-03-14

Volume: 55

Issue: 3

Page Range: 14-28

Description:

In the last three years, the way the world works has changed more than in all the previous decades combined. The changes in market processes and systems have clearly been driven by two dominant phenomena: the pandemic crisis caused by COVID-19 and the Russian-Ukrainian conflict. These two world events have changed fundamental norms, which has forced organisations to change their strategies. The question is: what are the organisations in question really planning? What is influencing their reactions? The aim of the authors’ publication is to show how organisations were thinking in the early stages of the two crises, and whether they are able to assess the expected impact and plan the appropriate measures. Their empirical research found that micro-enterprises tend to project their pessimism on the whole economy. Also, their services are less dependent on supply chain resilience. Furthermore, their various war-induced measures were related to their past external relations.

Open Access: Yes

DOI: 10.14267/VEZTUD.2024.03.02

Communication between Autonomous Vehicles and Pedestrians: An Experimental Study Using Virtual Reality

Emese Makó Csaba Koren Attila Borsos Symbat Zhanguzhinova Ágoston Pál Sándor

Publication Name: Sensors

Publication Date: 2023-02-01

Volume: 23

Issue: 3

Page Range: Unknown

Description:

One of the major challenges of autonomous vehicles (AV) is their interaction with pedestrians. Unofficial interactions such as gestures, eye contact, waving, and flashing lights are very common behavioral patterns for drivers to express their intent to give priority. In our research we composed a virtual reality experiment for a pedestrian crossing in an urban environment in order to test pedestrians’ reactions on an LED light display mounted on a virtual AV. Our main research interest was to investigate whether communication patterns influence the decision making of pedestrians when crossing the road. In a VR environment, four scenarios were created with a vehicle approaching a pedestrian crossing with different speeds and displaying a special red/green sign to pedestrians. Here, 51 persons participating in the experiment had to decide when crossing is safe. Results show that the majority of people indicated they would cross in the time windows when it was actually safe to cross. Male subjects made their decision to cross slightly faster but no significant differences were found in the decision making by gender. It was found that age is not an influencing factor, either. Overall, a quick learning process was experienced proving that explicit communication patterns are self-explaining.

Open Access: Yes

DOI: 10.3390/s23031049

FinTech credit using CBDC: Transformation of lending market

Jewel Kumar Roy Md Foysal Hasan

Publication Name: Exploring Central Bank Digital Currencies Concepts Frameworks Models and Challenges

Publication Date: 2024-03-07

Volume: Unknown

Issue: Unknown

Page Range: 158-168

Description:

The advancement of financial technology and the development of central bank digital currency (CBDC) are revolutionizing the lending market. FinTech credit and CBDC have disrupted traditional lending practices, providing new channels of financing for borrowers and increasing access to credit. This chapter explores the transformation in the lending market due to the advent of FinTech credit and CBDC. It analyses the impact of these developments on the lending market, borrowers, and financial institutions. The chapter also evaluates the challenges and opportunities presented by these innovations and the implications for regulators. Financial technology (FinTech) credit has rapidly emerged as a disruptive force in the lending market, and the use of central bank digital currency (CBDC) has the potential to further transform the lending market. This chapter aims to examine the potential impact of FinTech credit using CBDC on the lending market, analyse the benefits and challenges of this model, and provide recommendations for policymakers and market participants to foster its adoption.

Open Access: Yes

DOI: 10.4018/979-8-3693-1882-9.ch010

What Kind of Steps Shall we Implement from the GDE Matrix into Driver Education of Hungary to Decrease Risk of Accident among Novice Drivers?

Diána Henézi

Publication Name: Transportation Research Procedia

Publication Date: 2016-01-01

Volume: 14

Issue: Unknown

Page Range: 3821-3828

Description:

It is a well-known problem that in every year there are 27000 deaths on the roads. The European Union has determined the target of the killed people of road accidents and it means 50% percentage decreasing until year of 2020. Until 2050 no one can die in road accident. (White Paper, 2011). Young people percentage in our society is about 10%, but the participation in fatal accident injuries is almost 27%. It is a significant difference, and we have to do against the problem. States of European Union has different kinds of driver education with diverse tools, methods and programs. There is a matrix (dubbed Goals of Driver Education) which summarized essential elements and hierarchical levels of driver behavior to make driver education more effective (decreasing novice driver's accident risk). Driver education of some countries is based on this theory. In Hungary there were a lot of changes in driver education causes decreasing trend in the number of passed exams. To find an optimal solution to make our education more traffic safety-oriented I try to reflect on the main missing points, which we should implement to our driver education so novice drivers could be able to estimate their skills and to have a realistic self-assessment.

Open Access: Yes

DOI: 10.1016/j.trpro.2016.05.467

Strong stability preserving explicit linear multistep methods with variable step size

Yiannis Hadjimichael Adrian Németh David I. Ketcheson Lajos Lóczi

Publication Name: SIAM Journal on Numerical Analysis

Publication Date: 2016-01-01

Volume: 54

Issue: 5

Page Range: 2799-2832

Description:

Strong stability preserving (SSP) methods are designed primarily for time integration of nonlinear hyperbolic PDEs, for which the permissible SSP step size varies from one step to the next. We develop the first SSP linear multistep methods (of order two and three) with variable step size, and prove their optimality, stability, and convergence. The choice of step size for multistep SSP methods is an interesting problem because the allowable step size depends on the SSP coefficient, which in turn depends on the chosen step sizes. The description of the methods includes an optimal step-size strategy. We prove sharp upper bounds on the allowable step size for explicit SSP linear multistep methods and show the existence of methods with arbitrarily high order of accuracy. The effectiveness of the methods is demonstrated through numerical examples.

Open Access: Yes

DOI: 10.1137/15M101717X

A State-of-the-Art Review and Numerical Study of Reinforced Expansive Soil with Granular Anchor Piles and Helical Piles

Rashad Alsirawan Ammar N. Alnmr R. P. Ray

Publication Name: Sustainability Switzerland

Publication Date: 2023-02-01

Volume: 15

Issue: 3

Page Range: Unknown

Description:

Expansive soils exist in many countries worldwide, and their characteristics make them exceedingly difficult to engineer. Due to its significant swelling and shrinkage characteristics, expansive soil defies many of the stabilization solutions available to engineers. Differential heave or settlement occurs when expansive soil swells or shrinks, causing severe damage to foundations, buildings, roadways, and retaining structures. In such soils, it is necessary to construct a foundation that avoids the adverse effects of settlement. As a result, building the structure’s foundations on expansive soil necessitates special consideration. Helical piles provide resistance to uplift in light structures. However, they may not fully stabilize foundations in expansive soils. A granular anchor pile is another anchor technique that may provide the necessary resistance to uplift in expansive soils using simpler methods. This review and numerical study investigate the fundamental foundation treatments for expansive soils and the behavior of granular anchors and helical piles. Results indicate that granular anchor piles performed better than helical piles for uplift and settlement performance. For heave performance, the granular anchor and helical piles perform nearly identically. Both achieve heave reductions greater than 90% when L/H > 1.5 and D = 0.6 m.

Open Access: Yes

DOI: 10.3390/su15032802

The influence of hydrogen molecules on shock-cloud collisions

U. Ziegler A. Horváth

Publication Name: Astronomy and Astrophysics

Publication Date: 1999-12-01

Volume: 349

Issue: 2

Page Range: 595-604

Description:

The interaction of shock fronts with molecular clouds is investigated. For this purpose, a two-fluid model describing an H-H2 gas mixture is applied. The resulting equations are solved with a 2D axial-symmetric, fully compressive hydrodynamics code. Radiative cooling and the thermodynamical properties of the H2 molecule, ie. rotational and vibrational degrees of freedom as well as thermal dissociation, are taken into account. The evolution of the shock/cloud system using this more sophisticated thermodynamical model is found to be very different from that involving a pure atomic H gas which obeys the ideal gas law. For example, the maximum density of the shocked cloud is about 5-10 times lower in the latter case. This significant result might become very important when estimating triggered star formation rates. Another difference is that in the case of H-H2 mixture, the shocked cloud gets a comet-like structure because of a smaller reexpansion. From the numerical experiments we conclude that the application of the ideal gas law is insufficient and gives only a crude approximation of the real dynamics of a shock/cloud collision.

Open Access: Yes

DOI: DOI not available

Game-based logistics tuition efforts in higher education

No authors available

Publication Name: Proceedings of the European Conference on Games-based Learning

Publication Date: 2014-01-01

Volume: 2

Issue:

Page Range: 496-502

Description:

Logistics is one of the most powerful sources in business today. It is the key to open markets, to satisfy customers, to create sustainable supply chains and smart cities. As logistics are getting more and more into most companies'spotlight, there is a constantly growing need for qualified and well-trained experts. While logistics as a discipline went through a complete metamorphosis during the past few decades, related secondary school and university curriculums have mostly remained unchanged, and universities are seldom able to fulfill the needs of the rapidly changing market. The purpose of this study is to show how our game- and simulation-based environment may support the development of logistics tuition by concentrating on all three learning domains of Bloom's taxonomy, by providing hands on experiences and by being deeply rooted in everyone's natural learning process.

Open Access: No

DOI: DOI not available

Comparing the properties of meta-heuristic optimization techniques with various parameters on a fuzzy rule-based classifier

A. Tormási Laszlo T. Koczy

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2016-01-01

Volume: 342

Issue: Unknown

Page Range: 157-169

Description:

In this paper, the results of meta-heuristic optimization techniques with various parameter settings are presented. A formerly published Fuzzy-Based Recognizer (FUBAR): A fuzzy rule-based classification algorithm was used to analyze and evaluate the behavior of the used meta-heuristic optimization algorithms for rule-base optimization. Besides the reached accuracy, the execution time, the CPU load of the algorithms, and the effects of the shapes of the fuzzy membership functions in the initial rule-base are also investigated.

Open Access: Yes

DOI: 10.1007/978-3-319-32229-2_12