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Found 6414 publications

Testing the selection heuristic of the Accelerated Branch and Bound method

Balázs Bánhelyi Emília Heinc

Publication Name: Annales Mathematicae Et Informaticae

Publication Date: 2024-01-01

Volume: 60

Issue: Unknown

Page Range: 64-74

Description:

This article examined the issue of selection heuristics for the ABB algorithm, a branch-and-bound method for determining the optimal solution structure in P-graphs. Previous studies have not investigated the possible effects of different heuristics on the running time of the ABB algorithm. In this study, we represent the results of applying three basic heuristics in randomly generated P-graphs. In particular, for P-graphs with matrix patterns, the LIFO heuristic is recommended because it performed the best, while the FIFO heuristic had the slowest running time.

Open Access: Yes

DOI: 10.33039/ami.2024.02.006

Adaptive ICT-based evaluation system in teaching and learning process

Eniko Nagy Karl Eva Gyorgy Molnar

Publication Name: Ines 2023 27th IEEE International Conference on Intelligent Engineering Systems 2023 Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 89-94

Description:

Evaluation is an essential part of education. In addition to helping track student progress and learning processes, evaluations play a significant critical and important role in developing the individual's personality and forming a realistic self-image. Therefore, evaluations must be accurate, reliable, encompassing of changes, and supportive of developmental paths. Assessments can take various forms and can be carried out in-person, verbally, in writing, or through practical tasks, but they can also be conducted online, in a digital format, within a suitable framework. Regardless of these, one common element, the assessing educator is the adult who plans, integrates, and conducts the periodic control and evaluation process. Thus, there is also a generational difference inherently present and this affects the entire teaching and learning process, thereby influencing the evaluation process significantly, and reducing its efficiency. In this study, we present a self-developed system that increases the efficiency of the control and evaluation process by assisting the educator's work and reducing the communication gap due to generational differences. In addition to describing the applied technologies during the system's demonstration, we also discuss the methods and operating processes, which we conclude by evaluating the test results.

Open Access: Yes

DOI: 10.1109/INES59282.2023.10297735

Evaluation of human-Myo gesture control capabilities in continuous search and select operations

Adam B. Csapo Hunor Nagy György Wersényi Arni Kristjansson

Publication Name: 7th IEEE International Conference on Cognitive Infocommunications Coginfocom 2016 Proceedings

Publication Date: 2017-01-03

Volume: Unknown

Issue: Unknown

Page Range: 415-420

Description:

Tactile and haptic devices can be used to control and interact with a wide range of systems, including games, virtual environments and assistive technologies. Although many psychophysical studies have measured thresholds of human sensory capabilities for interpreting haptic and tactile feedback, relatively little is known about the precision with which we are able to guide the behavior of a system based on kinesthetic and myoelectric gestures. A broad study of the latter problem is important, especially now that a number of devices have appeared-such as the Leap Motion Controller and the Myo armband-which enable humans to use finger, hand and arm gestures to interact with the digital world. This paper provides a broad overview on the topic, and reports a set of preliminary experiments on the extent to which the Myo armband can be used to control auditory feedback in real time. Test results are evaluated based on a Bayesian statistical model of an empirical (but for the most part, unambiguous) performance scale. The goal is to investigate ways in which visually impaired users could use the Myo to control the output of an assistive technology.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2016.7804585

Synchronistic historical background for Jung-Pauli's modelling of psyche and nature concerning the aquarius myth part II: The aquarius mythologem and representations of St. Andrew in the Hortus Deliciarum

Peter Varlaki Peter Baranyi

Publication Name: 7th IEEE International Conference on Cognitive Infocommunications Coginfocom 2016 Proceedings

Publication Date: 2017-01-03

Volume: Unknown

Issue: Unknown

Page Range: 455-468

Description:

In the paper we attempt to present the same in a very beautiful and uniquely interesting picture of the Hortus Deliciarum, with St. Andrew in the leading role, representing St. John the Baptist. We compare the meaning system and the numerical structure of this the Hortus Deliciarum image to the Pala d'Oro's beautiful and unique enamel of hidden meaning, depicting the presentation of the child Christ in the 'Temple.'. On tha basis of this interpretation and comparison it can be considered as a historical background of the Aquarius mythologem and its Jung-Pauli kinds of imagination and interpretation.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2016.7804590

Analyzing the Performance of TSP Solver Methods

Péter Földesi Boldizsár Tüu-Szabó Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2022-01-01

Volume: 955

Issue: Unknown

Page Range: 65-71

Description:

In this paper we analyze the efficiency of three TSP solver methods: the best-performing exact Concorde algorithm, the state-of-the-art inexact Helsgaun’s Lin–Kernighan heuristic and our Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA). In our analysis the run time predictability was also taken into account, not only the tour quality and the run time properties. Three models (polynomial, exponential, square-root exponential) were fitted to the mean run times of VLSI (Very-large-scale integration) instances up to 20,000 nodes. The DBMEA produces the highest (close to 1) R2-values for each model. The Concorde algorithm shows very low run time predictability.

Open Access: Yes

DOI: 10.1007/978-3-030-88817-6_8

Multi-Modal Evaluation of Adaptive Interface Design and Railway Grade Crossing Infrastructure, in Simulated Driving Environments

Eleonora Desnica Darko Babić Gabor Kovacs Viktor Nagy

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2026-01-01

Volume: 23

Issue: 1

Page Range: 287-306

Description:

This study examines the usability and cognitive workload associated with two interface concepts ‒ Context-Driven Adaptive Dashboard System and a Bring-Your-Own-Device (BYOD) graphical interface ‒ tested within a high-fidelity driving simulator across urban and rural routes. Nineteen participants completed realistic driving scenarios, during which physiological, behavioral, and subjective data were collected. Usability was assessed using the System Usability Scale, while mental workload was measured with the NASA Task Load Index. The results show that the context-aware interface achieved a 20.9% higher usability score compared to a Bring-Your-Own-Device interface (71.7 vs. 59.3, p = 0.0105). However, workload levels did not differ significantly across the interfaces. The experiment also analyzed driver behavior at both secured and unsecured railway grade crossings using eye-tracking technology. Eye-tracking analysis revealed unsecured crossings elicited 30.2% more fixations, a 13.8% increase in fixation frequency, and a 26.4% decrease in average fixation duration (p < 0.01), reflecting elevated visual search activity and uncertainty. While statistical comparisons of driver risk behavior at crossings yielded limited significance, observed trends consistently pointed to safer actions at secured crossings. These findings underscore the importance of adaptive interface design and intelligent infrastructure in reducing driver distraction and enhancing safety in both everyday and critical driving situations.

Open Access: Yes

DOI: 10.12700/APH.23.1.2026.1.17

Using UTAUT2 modeling to investigate user acceptance of cashless technologies among university students in Hungary

Szabolcs Ramhap Eszter Szabó-Szentgróti Petra Kinga Kézai

Publication Name: Statisztikai Szemle

Publication Date: 2024-01-01

Volume: 102

Issue: 4

Page Range: 344-366

Description:

In recent years, a new retail trend has emerged in the form of cashierless shops. The technology is appearing in more and more countries around the world and we are already seeing this innovative technology in Hungary. This study investigates the user acceptance of this technology among students in Hungarian higher education institutions. It examines the factors that influence attitudes towards cashierless transactions within the adapted framework of the unified theory of acceptance and use of technology (UTAUT2). Seven hypotheses were formulated based on previous literature and the research model. An online questionnaire survey was applied to investigate technology acceptance (n=959). During the questionnaire, respondents rated a total of 29 statements on a Likert scale ranging from 1 to 7. The variance-based structural equations (PLS-SEM) method was used for the research model analysis and hypothesis testing. The results show that the behavioural intention is significantly and positively influenced by performance expectancy, social influence and hedonic motivation. Furthermore, price sensitivity has been shown to have a significant negative effect on behavioural intention. The results of this research can serve as a guide for practitioners and policy makers who are planning to implement this technology. And the diffusion of cashierless technology provides an opportunity to replicate the research by examining the factors that influence actual usage.

Open Access: Yes

DOI: 10.20311/STAT2024.04.HU0344

Failure analysis of aluminum - Ceramic composites

Imre Fekete Ibolya Zsoldos István Kozma

Publication Name: Materials Science Forum

Publication Date: 2017-01-01

Volume: 885

Issue: Unknown

Page Range: 286-291

Description:

The increasingly widespread use of syntactic metal foams is due to their excellent energy absorbing characteristics. Several research groups deal with developing methods that can further improve this characteristic. Several literature analyses have been devoted to the effects of materials selection, cell size and wall thickness of the reinforcing element on the compression strength. In this work an in situ test necessary for the modeling of the failure process introduced. The aluminumceramic composite foams were cyclically upset. The geometry of the test specimen was reconstructed at a certain point of the compression test by μCT technology and digital image analysis. The failure process was characterized by volume change, by the number of broken shells and by the formation of shear plane as a function of the deformation.

Open Access: Yes

DOI: 10.4028/www.scientific.net/MSF.885.286

Enablers of Augmented Reality in the Food Supply Chain: A Systematic Literature Review

John G. Keogh Abderahman Rejeb Karim Rejeb

Publication Name: Journal of Foodservice Business Research

Publication Date: 2021-01-01

Volume: 24

Issue: 4

Page Range: 415-444

Description:

The food industry represents one of the most critically important sectors of the economy. Food is a basic necessity for human life and requires specialized handling, preparation, and logistics to be safe for human consumption. Moreover, food supply chains have become more globalized, fragmented, and complex. Food industry stakeholders are forced to reconsider conventional ways of managing food chains and coping with the latest technology innovation trends. As technology unlocks several opportunities in supply chains, food businesses have a vested interest in exploring Augmented Reality (AR). AR denotes the technology of overlaying virtual objects upon the real-world environment. Despite being a well-established technology, AR possibilities in the food supply chain remain an unexplored research area. Therefore, to fill this knowledge gap and capture the latest developments in this field, we conducted a systematic literature review. Fifty-one (51) publications were thoroughly analyzed to identify the enablers of AR in the food industry. Findings revealed five main areas where AR potentially offers substantial business value. These include food process efficiencies, food decision-making, food marketing, food training, and food safety. Finally, research contributions, trajectories and limitations were highlighted.

Open Access: Yes

DOI: 10.1080/15378020.2020.1859973