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Publications - 6273

Controller design of DC/DC buck converter based on feedback linearization with integrator

Miklós Kuczmann Miklos CSIZMADIA

Publication Name: Gpmc 2020 2nd IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2020-11-19

Volume: Unknown

Issue: Unknown

Page Range: 35-38

Description:

The paper presents the feedback linearization technique of voltage mode DC/DC buck converter. The nonlinear state-space model is presented and has been stabilized by pole placement technique and finally the voltage control of output has been realized by integral control. The designed controller has been simulated by MATLAB. Results are shown that the developed controller has good dynamic and static behavior.

Open Access: Yes

DOI: 10.1109/GPMC50267.2020.9333821

A Study of Unmanned Store Adoption among University Students: A Control Variable Perspective

Szabolcs Ramhap Eszter Szabó-Szentgróti Petra Kinga Kézai

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2025-01-01

Volume: 8

Issue: 1

Page Range: 364-379

Description:

In the past nine years, a significant trend has emerged in the retail sector with the rise of cashier less and unmanned stores. This technological innovation is becoming increasingly widespread across various countries, although its availability remains somewhat limited in Hungary. The current study investigates the extent to which students in Hungarian higher education institutions are willing to adopt this technology. It explores the factors influencing attitudes toward cashierless shopping, using the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) as the theoretical framework. Seven hypotheses were formulated based on a comprehensive review of existing literature and research models. In addition to these core hypotheses, the study also assessed whether three control variables income, gender, and location had an impact on key latent variables within the model. Data collection was conducted via an online questionnaire, which garnered responses from 843 participants. The study employed variance-based structural equation modelling (PLS-SEM) to analyse and test the proposed research model. The results revealed that performance expectancy, effort expectancy, social influence, and hedonic motivation had a strong and positive influence on behavioural intention toward using cashier less stores. Regarding the control variables, significant relationships were identified between income and atmosphere variable, as well as income and price sensitivity. Furthermore, gender was found to have a significant influence on hedonic motivation, suggesting that these demographic factors play a moderating role in shaping attitudes toward unmanned store technology. The findings of this study provide valuable insights for practitioners and policymakers in the retail industry who are considering the implementation of cashier less technology. The diffusion of this technology is expected to grow, making it crucial to investigate factors that influence not only intentions but also the actual use of unmanned stores.

Open Access: Yes

DOI: 10.31181/dmame8120251371

Visegrád: The Evolving Pattern of Coordination and Partnership After EU Enlargement

Eamonn Butler Károly Grúber Csaba Töro

Publication Name: Europe Asia Studies

Publication Date: 2014-01-01

Volume: 66

Issue: 3

Page Range: 364-393

Description:

Multilateral, subregional partnerships are one of the defining features of contemporary European politics. The 2004 enlargement of the European Union introduced a new partnership entity to the mix-the Visegrád Group of states, comprising the Czech Republic, Hungary, Poland and Slovakia-which offers its members a useful model to discuss and represent common interests in a collective manner within the regional and international political landscape. The article provides a reflection on the evolution of the Visegrád Group of states since 2004. It examines four key policy areas (institutional candidacy, energy policy, eastern neighbourhood and defence policy) where the group has either learned some difficult lessons or is seeking to apply those lessons. The article suggests that the Visegrád Group's greatest strength lies in its flexibility to become more responsive to the challenges it faces and it is likely therefore to remain appealing to its member states and to be a permanent feature within the wider cohort of European Union subregional partnerships. © 2013 University of Glasgow.

Open Access: Yes

DOI: 10.1080/09668136.2013.855392

Standardized Assessment, LiDAR-Based Measurements, and Human Perception of Traffic Signs

Csaba Koren Ziyad N. Aldoski

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 77-86

Description:

Traffic signs are essential informative tools for road users, with their quality regulated by international standards. Among the critical parameters for evaluation is retroreflectivity. With the rise of autonomous vehicles (AVs), new tools like LiDAR sensors and cameras have become crucial for assessing traffic signs. However, the relationship between human perception and the physical properties of these signs remains underexplored. This study compares traffic sign evaluations using retroreflectivity measurements, LiDAR data, and human assessment. Approximately 160 traffic signs were analyzed using standardized retroreflectivity measurements, with additional data collected from two different LiDAR systems mounted on an AV. Volunteers conducted human evaluations assessing visibility, legibility, and contrast with surroundings. The handheld reflectometer provided a wide range of retroreflectivity readings, while LiDAR data showed good contrast between sign faces and surroundings, though results varied between the two systems. Human assessments correlated strongly with overall appearance but showed limited correlation with the other methods. This study highlights the strengths and limitations of each evaluation approach, offering insights for improving traffic sign assessment techniques.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_8

Equivalence of MCDM Methods and Synthesis of Solution Based on Ratings Obtained in Different Models

Dragan Pamucar Irik Z. Mukhametzyanov

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2025-01-01

Volume: 8

Issue: 2

Page Range: 1-20

Description:

Synthesis of solutions based on a set of models is a modern trend in the field of multi-criteria choice. It is assumed that a solution based on many methods increases the reliability of the decisions made. One of the important tasks is to select an independent set of models. Comparison of various multi-criteria methods is performed using two lists: rank and rating. To compare the rating of alternatives obtained using different MCDM models, the article uses the Relative Performance Indicator (RPI). Using RPI, six identical methods for aggregating private attributes of alternatives are established: Weighted Sum Model (WSM), Ratio System approach (RS), Multi-Attributive Border Approximation area Comparison (MABAC), Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) with L1 metric, Multi Atributive Ideal-Real Comparative Analysis (MAIRCA) and Ranking of Alternatives with Weights of Criterion (RAWEC) provided that each aggregation method combines the same method of linear normalization of attributes. This allows avoiding duplication of equivalent methods in the Multi-Method Model (3M) approach combining different MCDM models. When solving MCDM problems, it is recommended to use the simplest and most easily interpreted of them: WSM. The presented methodology is recommended as mandatory for the analysis of new or hybrid MCDM methods to eliminate duplication of existing methods. A synthesis of a solution based on ratings obtained in different MCDM models within the 3M approach is proposed. The method includes coordinating the common goal of several models and bringing the ratings obtained in different MCDM models to a common scale, which allows comparing and aggregating the ratings. The resulting rating is more informative than a rating based on ranks, such as Borda rules or similar, since it reflects the real proportions of the effectiveness of alternatives in different models.

Open Access: Yes

DOI: 10.31181/dmame8220251473

Central and Eastern European regional centers in the focus of urban rankings and urban indexes

Szabolcs Ramhap Petra Kinga Kézai

Publication Name: Economic Annals Xxi

Publication Date: 2022-02-09

Volume: 195

Issue: 1-2

Page Range: 26-35

Description:

The relevance of the paper is predetermined by the fact that nearly 75% of the population in the European Union live in cities, so the European Union is committed to making cities more sustainable. Thus, recent years have seen an increasing need for studies on urban indexes measuring European cities as well as those on the evaluation of the indexes. The purpose of this paper is to prove that Central and Eastern European medium-sized cities as regional centers are an under-researched area in social science research. While one typical trend of this research is ranking based on various aspects as well as the determination of leading cities, the regional centers of Central and Eastern European countries are only tangentially included in this research. The research objectives: The analysis examines 94 regional centers in ten Central and Eastern European countries (Austria, Bulgaria, Czech Republic, Croatia, Hungary, Poland, Romania, Serbia, Slovakia, and Slovenia) with regional functions at NUTS2 level based on a total of 41 different economic indexes and rankings. The research was based on the Eurostat Urban Audit database and the keyword search engine of scientific search engines such as Web of Science, Science direct, and Google Scholar. The research question: Which Central and Eastern European regional centers are examined by the different city rankings and indexes? The research results and conclusions are the following: 1) As a result of the research, it was found that out of the 94 regional centers, the most examined cities are Krakow, Wroclaw and Brno. A randomly selected city is included in only 11% of the studied rankings and indexes. 2) However, half of the Central and Eastern European capitals are considered areas for city rankings and indexes. The most studied capitals are, ranked in order of focus; Budapest and Prague, Vienna, Ljubljana, Bratislava, Sofia, Warsaw and Zagreb. 3) Based on the correlation analysis, we found a strong relationship between two indicators (Cultural Creative Cities Index and Smart Cities Index) which suggests that it would make sense to explore further relationships for which it is indispensable to have the right quality and quantity of data. All in all, it would be worthwhile creating an economic index measuring the performance of Central and Eastern European regional centers which could help regional and city governments as well as potential investors get an up-to-date and comprehensive picture of regional centers in the region.

Open Access: Yes

DOI: 10.21003/ea.V195-03

Instance Segmentation in Industry 5.0 Applications Based on the Automated Generation of Point Clouds

None Csapó Cristina Rosaria Monsone

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2025-01-01

Volume: 22

Issue: 6

Page Range: 25-46

Description:

In this paper, we explore the utility of classical neural network-based approaches, originally designed for processing 2D images, in semantic segmentation and object recognition tasks within the context of 3D point cloud images generated from handheld video recordings. Our investigation centers around the use of a custom-created, small-sized training dataset, consisting of 108 RGB images of humans and cobots in diverse industrial settings. This dataset allows us to demonstrate that flexible segmentation and recognition applications can be built even with a restricted dataset developed using widely available low-cost tools and modern convolutional neural net architectures. Downstream benefits of the approach include the ability to detect humans and human gestures, as well as to rapidly prototype digital twins in Industry 5.0 environments.

Open Access: Yes

DOI: 10.12700/APH.22.6.2025.6.3

Sensemaking support system (S3) for manufacturing process improvement

T. B. Ladinig Krishna S. Dhir Gyula Vastag

Publication Name: International Journal of Production Research

Publication Date: 2021-01-01

Volume: 59

Issue: 8

Page Range: 2406-2425

Description:

Production management teams often face unfamiliar situations where each team member must understand new phenomena individually before the team can make mutually understandable and acceptable decisions. Contradicting subjective judgments can distort the group’s decision-making process because team members understand situations differently and are generally prone to behavioural biases. This paper presents the development of a sensemaking support system (S3,S cube) for selecting improvement projects in a complex,small-volume batch production system of a premium car manufacturer. All phases of the sensemaking process are facilitated by making various sources of information available to a team of managers and experts to reduce conflicts regarding the selection of improvement projects. S3 is based on a lens model which combines judgments of the management team with discrete event simulation and provides visual representations of the differences and misjudgements related to various improvement options. The results–that can easily be generalised to many similar settings–indicate different understanding and lack of coherence within the management team which prevents them from defining mutually acceptable actions. This is countered with the creation of an action proposal,summarising and visualising causal relationships,and connecting them to improvement options to improve performance of the production system.

Open Access: Yes

DOI: 10.1080/00207543.2020.1733700

A tool for creating and editing dashboards in VR spaces based on a canonical set of operations

None Csapó Tarek Setti

Publication Name: 11th IEEE International Conference on Cognitive Infocommunications Coginfocom 2020 Proceedings

Publication Date: 2020-09-23

Volume: Unknown

Issue: Unknown

Page Range: 497-502

Description:

VR spaces are increasingly used for purposes other than entertainment, to help communicate ideas in more memorable and effective ways. This paper focuses on the problem of how 2D panel layouts - i.e. information dashboards - can be effectively created and edited in 3D spaces. We propose a set of canonical operations to support such layout design. We also introduce a pilot implementation that enables the use of these operations to help configure 2D content within spaces running on the MaxWhere VR platform.

Open Access: Yes

DOI: 10.1109/CogInfoCom50765.2020.9237857