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Publications - 6515

The Role of Vehicle Diagnostics in Supporting the Law-Abiding “Behavior” of Self-Driving Vehicles †

Istvan Lakatos Lea Pődör

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The aim of this paper is to look at the pillars for developing the law-abiding “behavior” of self-driving cars. The paper will analyze the potential of artificial intelligence, machine learning mechanisms, and the transformation of rules into algorithms for self-driving cars, and highlight the vehicle diagnostics context. The analysis is expected to demonstrate that the transformation of rules into algorithms alone is not sufficient for unhindered transport, as there is a strong need for the application of vehicle diagnostics to support and enhance obstacle and accident-free transport. The technological revolution in the field of self-driving vehicles calls for the development of common ground between technical sciences and law, which are trying to make the idea of safe and sustainable transport part of everyday life.

Open Access: Yes

DOI: 10.3390/engproc2024079029

On the classification of 3D periodic polyhedral cellular systems

Eniko Bitay J. Tamás Reti

Publication Name: Materials Science Forum

Publication Date: 2008-01-01

Volume: 589

Issue: Unknown

Page Range: 341-348

Description:

In several fields of materials science space-filling polyhedral systems are generally used for modeling and characterizing the microstructure of polycrystalline and cellular materials. In this paper a simple quantitative method designated to classify 3D triply periodic, space-filling, cellular systems is outlined. The concept of the proposed method is based on the known analogy between the combinatorial structure of 3D space-filling polyhedral systems and of 4D polytopes. For classification purposes various topological shape indices are defined and tested. It is demonstrated that using two appropriately selected shape factors (asymmetry and compactness coefficients) a global combinatorial classification of cellular systems can be performed.

Open Access: Yes

DOI: 10.4028/www.scientific.net/msf.589.341

Experimental Investigation of Preloaded Bolted Connections

Zsolt Bider

Publication Name: Strojnicky Casopis Journal of Mechanical Engineering

Publication Date: 2026-04-01

Volume: 76

Issue: 1

Page Range: 1-6

Description:

The results of the experiments confirms that the torque-force graphs are made of passive and active sections. If we could determine a generalizable relation between the two sections, which would enable the programming of screwdriving machines in mass production in such a way that, based on the measured torque and considering passive resistances, a defined torque or angle could be applied to reduce the scatter of preload forces.

Open Access: Yes

DOI: 10.2478/scjme-2026-0001

Factors affecting the quality of raw sheep and goat milk

Székelyhidi Rita

Publication Name: Magyar Allatorvosok Lapja

Publication Date: 2017-11-01

Volume: 139

Issue: 11

Page Range: 687-696

Description:

Based on large number of publications in scientific literature, the author provide information on the factors affecting the quality of raw sheep and goat milk. She presents the effect of the variety within species, the impact of stage of lactation and seasons, the influence of milking and changes in somatic cell count in milk composition. In sheep milk the amount of milk fat, milk protein and casein in the final stage of the lactation rises compared to the first stage. In goat milk the concentration of milk fat decreases in the middle stage of lactation compared to the first stage and it increases in the final stage and the amount of milk protein and casein constantly increases during the lactation. High milk yield is usually combined with a long lactation period, normally 8-10 months, but the dairy sheep maintain lactation for 2 years without more calving. A high somatic cell count milk have a higher proteolytic activity, and they contain larger quantities of fat and casein and lower concentration of whey proteins, especially serum albumin and immunoglobulin. The proteolytic enzymes in the somatic cells attack the as2- and β-casein. Just like the goats, the sheep also respond to changes in the environment, they have developed a genetic multiplication pace that follows the seasons change and the better food endowments. If the lactation period begins before the spring or the rainy season, lactation period will be longer because of the better feed. There is 80-90% correspondence between the udder size and the milk yield, and the milk yield depends on the surface size of alveoli, too. Increasing the number of milking ordinarily increases the amount of the expressed milk, but in this case there are significant differences between individual animals.

Open Access: Yes

DOI: DOI not available

Choices Based on the Self-Perception of University Applicants in their Decisions on Applying to Higher Education

Eszter Lukács Attila Miklós

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2024-01-01

Volume: 7

Issue: 1

Page Range: 603-623

Description:

This paper investigates the role of self-concept and perceptions of academic performance in shaping university students’ choice of educational institutions, as well as the factors that influence these decisions. Various empirical studies have examined this topic, identified key determinants and reflected the aspects and expectations that students prioritize when making decisions about their academic future. In this study, we utilized scientific databases to filter through thousands of papers, ultimately selecting 225 articles that were directly related to decision-making processes in education. Out of these, we have cited 60 publications that offer significant insights relevant to our research. Moreover, we identified 20 empirical studies that specifically analyse the factors that influence students’ decision-making processes, based on data gathered through questionnaires and interviews. To further explore students' career aspirations and understand the factors influencing their choices, we focus on several key variables. These include students' self-perception, self-confidence, and personal development. We also assess how external factors, such as socioeconomic conditions, family expectations, and educational environment, may impact these decisions. By examining these elements, we aim to uncover how such influences contribute to students' educational and professional trajectories. This study seeks to clarify how diverse influences, particularly those experienced during adolescence, shape individuals’ personal growth and career pathways. In addition, it aims to identify any gaps in existing research, especially with regard to international practices and trends, thereby contributing to the broader understanding of student decision-making in higher education.

Open Access: Yes

DOI: 10.31181/dmame7120241274

Fuzzy flip-flops and neural nets?

Rita Lovassy Laszlo T. Koczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

J-K flip-flops are elementary digital units providing sequential features/memory functions. Their definitive equation is used both in the minimal disjunctive and conjunctive forms. Fuzzy connectives do not satisfy all Boolean axioms, thus the fuzzy equivalents of these equations result in two non-equivalent definitions, "reset and set type" fuzzy flip-flops (F3) by Hirota & al. when introducing the concept of F 3. The paper gives an overview of some of the most famous F 3-s by presenting their definitions and graphs. An interesting aspect of F3-s might be that they have a certain convergent behavior when one of their inputs (e.g. J) is exited repeatedly. This is true even if the other input (K) is kept at a constant value. The behavior is more versatile if both inputs are given a series of changing values. If J is considered the equivalent of the traditional input of a neuron (with an adder unit applied before J), K might play a secondary modifier's role, or can just be set fix. The paper encourages to the investigation of such possible F3-networks as new alternative types of neural networks. © 2007 IEEE.

Open Access: Yes

DOI: 10.1109/FUZZY.2007.4295435

S-shaped fuzzy flip-flops

Rita Lovassy Laszlo T. Koczy

Publication Name: 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics Cinti 2007

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: 383-391

Description:

The multilayer perceptron is an artificial neural network that learns nonlinear function mappings. Nonlinear functions can be represented by multilayer perceptrons with units that use nonlinear activation functions. The neurons in the multilayer perceptron networks typically employ sigmoidal activation function. The next state of the J-K fuzzy flipflops (F3) using Fodor, Yager and Dombi operators present S-shaped characteristics. An interesting aspect of F3-s might be that they have a certain convergent behavior when one of their inputs (e.g. J) is exited repeatedly. If J is considered the equivalent of the traditional input of a neuron (with an adder unit applied before J), K might play a secondary modifier's role, or can just be set fix. The paper proposes the investigation of such possible F3-networks as new alternative types of neural networks.

Open Access: Yes

DOI: DOI not available

The possible applications of Fuzzy logic for the treatment of conflicts in the dispositional tasks of railway traffic control centers

Tibor Héray Gabor Rozsa Laszlo T. Koczy

Publication Name: IEEE AFRICON Conference

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

the handling of traffic conflicts of trains is rather complicated if full dynamic models are used. Often it is senseless to take into consideration all details of the motion equations and environmental parameters especially as the main parameters, like maximum speed of the trains involved are not exactly known. Also, a large number of noise type variables are always available. The paper proposes the use of the Mamdani type fuzzy rule based reasoning algorithm for handling railway traffic conflicts. The essential point is the granulation of all important parameters into a relatively small number of categories labeled by terms such as small, large, etc. This way the possible decisions for a concrete traffic conflict situation get various fuzzy weights after accumulation of all the fired rules. The final (non-fuzzy) decision is taken by choosing the option with the largest weight. A simplified example is presented for a delay and overtaking type conflict. ©2007 IEEE.

Open Access: Yes

DOI: 10.1109/AFRCON.2007.4401624

Analysis of Hungarian consumers' food consumption and wastage patterns in times of the crisis

Péter Karácsony Timea Juhasz Péter Huszka

Publication Name: Ukrainian Food Journal

Publication Date: 2024-01-01

Volume: 13

Issue: 1

Page Range: 192-209

Description:

Introduction. The present research studies the extent to which recent crises have affected the food purchasing habits of Hungarian consumers and whether the financial difficulties caused by the crisis have changed their food wastage patterns. Materials and methods. The research method was a questionnaire survey, and the authors evaluated the data based on the opinions of a total of 798 respondents. The evaluation was carried out using SPSS version 28 and Smart PLS software. Results and discussion. The results showed that the current economic crises have a significant impact on the purchasing habits of the Hungarian consumers surveyed and the amount of food they buy. During a crisis, Hungarian consumers are more conscious and buy less. Consumers are less optimistic about the future (mean: 3.00 standard deviation: 1.248). The study shows that optimism has no effect on whether they waste food. Anxiety has a strong effect on perceptions of crisis and wastage. The study also shows that Hungarian consumers are not satisfied with the way the economic crisis is being handled (mean: 2.29, standard deviation: 1.185). The responses also show that consumers surveyed are typically careful about how much they buy (mean: 3.70, standard deviation: 1.113), what they put away and what they throw away. More conscious thinking about waste and consumption is well outlined (mean 3.62, standard deviation 1.205). Less food is thrown away, with 18.7% of respondents never throwing away food waste and one in five respondents buying only as much food as they can afford to take away. When food is left over, around 18% of survey respondents compost the leftovers. However, there was no difference in the extent to which those affected by economic impacts abandoned their previous consumption habits or stuck to their previous lifestyle. Conclusion. Wastage is affected by the experience of the crisis and a sense of uncertainty about the future. Similarly, the experience of the crisis is influenced by our knowledge of eating habits and our environmental awareness.

Open Access: Yes

DOI: 10.24263/2304-974X-2024-13-1-13