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Publications - 6374

Concepts and Examples of Carbon-Free, Self-Sufficient Local Energy Systems

Balázs Vehovszky Zoltán Weltsch Ferenc Magyar Lóránt Kovács

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 931-936

Description:

The necessity of the “green revolution” in the field of energetics is not a question anymore; however, switching the current fossil fuel-based energy ecosystem to a fully renewable-based one poses enormous challenges. The historical structure of the present, centralised energy production infrastructure, as well as the fundamentally different characteristics of the three main fields of usage (electricity generation, heating and transportation), are among the most substantial hindering factors. The future energy system has to be much more flexible in several respects, with a fundamental contribution of smaller, independent energy communities. The current study focuses on the realisation aspects of such a small-scale energy community (or micro/nano-grid), considering the suitable technological solutions as well as the cost concerns. A high number of pilot projects and case studies around the world prove that the technical feasibility of a local grid/energy community is no longer a question. The real challenge is to find the appropriate incentives and strategy to catalyse the required transition at the legislation, system operator and end-user level as well. The outcomes of the present work contribute to this goal by pointing out the application potentials of a modular, scalable microgrid system based on a currently running microgrid-realization project at the ZalaZONE proving ground.

Open Access: Yes

DOI: 10.3303/CET24114156

Probabilistic occupancy grid map building for Neobotix MP500 robot

Claudiu Radu Pozna Erno Horváth

Publication Name: Proceedings of the 2016 13th Workshop on Positioning Navigation and Communication Wpnc 2016

Publication Date: 2017-01-17

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In vehicle and robot navigation low-level tasks such as path planning, obstacle avoidance and autonomous operation are extensively studied nowadays. Most of these task require map building. In this paper a map representation is discussed with the focus for the singular domain of our Neobotix MP500 mobile robot. Among others the state of the art map building techniques will be introduced such as topological map, line map, landmark-based map and of course in more detail the occupancy grid based map. The probabilistic representation of the occupancy grid will be examined as a map building problem for the given mobile robot.

Open Access: Yes

DOI: 10.1109/WPNC.2016.7822843

The Political Elite's Thematic Framing of China in Recent Central European Elections

László Csicsmann Jan Hornat Joanna Starzyk-Sulejewska

Publication Name: Issues and Studies

Publication Date: 2023-03-01

Volume: 59

Issue: 1

Page Range: Unknown

Description:

China is geographically distant from Central European states, but cultural, economic and political exchanges between the regions are increasing. As such, the perception of China in these societies is susceptible to frames and narratives that are either instrumentally or organically created by local political elites. This paper aims to scrutinize the narratives and frames employed in the Czech Republic, Hungary and Poland during their most recent election cycles. It identifies five basic types of frames employed in the selected countries: sovereignty, opportunity, the balance of trade, debt-traps and human rights. This paper then concludes by evaluating these thematic frames and summarizes the key similarities in public discourses concerning relations with China.

Open Access: Yes

DOI: 10.1142/S1013251123500029

Clean but Risky: The Role of Value Conflict in Consumer Adoption of Hydrogen Mobility

Nikolett Gyurián Nagy Nikolett Gyurián Nagy

Publication Name: Energies

Publication Date: 2026-03-01

Volume: 19

Issue: 5

Page Range: Unknown

Description:

The adoption of sustainable technologies is strongly influenced by psychological and social factors, particularly for emerging solutions such as hydrogen fuel cell vehicles (HFCVs). These technologies embody the promise of environmental responsibility while simultaneously raising safety concerns. This study examines how value conflict—the internal tension between environmental attitudes and technological risk perception—influences the intention to adopt HFCVs. Data were collected through an online survey (N = 1330) using snowball sampling. Three attitudinal dimensions were examined—environmental commitment, technological risk perception, and adoption intention. Environmental commitment and risk perception represent the two underlying evaluative orientations whose discrepancy may generate internal value conflict. Based on these dimensions, a novel composite index, the Value Conflict Index (VCI), was constructed to capture the extent of this internal tension and its effect on adoption intention. Regression analyses show that both environmental attitudes and lower perceived risks are significant positive predictors of adoption intention. At the same time, VCI exerts an independent negative effect, confirming that internal dissonance reduces willingness to adopt. Women reported more substantial environmental commitment and higher perceived risks, leading to higher VCI values; however, moderation analysis indicates that gender does not change the behavioral impact of value conflict. These findings suggest that value conflict represents a general psychological barrier to the acceptance of sustainable technologies.

Open Access: Yes

DOI: 10.3390/en19051268

Structured learning for extraction of daily life log measured by smart phone sensors

János Botzheim Naoyuki Kubota

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2015-01-01

Volume: 30

Issue: Unknown

Page Range: 277-293

Description:

This chapter deals with producing information using structured learning to extract daily life log measured by smart phone sensors. Acceleration, angular velocity, and movement distance are measured by smart phone sensors and stored as the entries of the daily life log together with the activity information and timestamp.First, this chapter introduces the concept of Informationally Structured Space (ISS) and explains how smart phones can be used for collecting data for the daily life log. Then, structured learning is proposed for estimating the human activities based on the time series of the measured data. The method applies growing neural gas for performing clustering on the data, and spiking neural network for estimating the activity. A modified simple spike response model is applied to reduce the computational cost. The external input values of the spiking neurons depend on the growing neurons, and various metrics are investigated in the input calculation.Experiments are performed for verifying the effectiveness of the proposed method. Finally, the future direction on this research is discussed.

Open Access: Yes

DOI: 10.1007/978-3-319-13545-8_16

Examination and development of a radio frequency inductor

Miklós Kuczmann Zoltán Pólik

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2008-12-01

Volume: 84

Issue: 12

Page Range: 230-233

Description:

Nowadays, inductors can be found in almost every electrical and electronic product. These key components are needed to store electrical energy, select frequencies, and protect againist overvoltage and overcurrent. In the case of the inductors, which usually work in the range of radio frequency, the one of the most important attributes is the quality factor. The aim of the project is to increase the Q-factor of an RF SMT inductor and to favour the industrial research and development about inductors by using the finite element method.

Open Access: Yes

DOI: DOI not available

Hybrid generative–ensemble approach for predicting recycled aggregate concrete strength properties

Milica V. Vasić Paul O. Awoyera Olaolu George Fadugba Majid Movahedi Rad Lenganji Simwanda Udeme Udo Imoh Majid Movahedi Rad Milica V. Vasić Md Azree Othuman Mydin Andi Asiz

Publication Name: Scientific Reports

Publication Date: 2026-12-01

Volume: 16

Issue: 1

Page Range: Unknown

Description:

This study proposes a hybrid generative–ensemble framework to predict key mechanical properties of recycled aggregate concrete from mix proportions. An established database of 112 mixes was used to model compressive strength, split tensile strength, flexural strength, and elastic modulus. To mitigate data scarcity, a conditional variational autoencoder was trained on the training data only and used to generate additional physically plausible input samples, after which seven supervised learning algorithms were trained and compared using cross-validation. Gradient boosting and support vector regression achieved the most accurate and stable predictions across all targets, outperforming baseline linear models and commonly used empirical correlations. Feature-attribution analysis was used to identify the dominant drivers of each property, showing that binder-related variables primarily govern strength, while aggregate-related variables dominate stiffness. The results support practical, data-driven screening of recycled aggregate concrete mixes and provide interpretable guidance for sustainable mix design.

Open Access: Yes

DOI: 10.1038/s41598-026-42598-6

Sustainability Indicators in Industrial Robotic Systems

Péter Galambos Adam Csapo Csaba Hajdu Károly Széll Zoltán Szilágyi

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 79-84

Description:

Nowadays, the application of industrial robots in manufacturing is widespread to automatize tedious and repeatable precision-sensitive processes. Modern robotic cells compete with the human workforce and specialized industrial machines in general efficiency. Additionally, robotic cells can be typically reprogrammed for different tasks, thus providing flexible applications, especially compared to more traditional methods. Advanced autonomous and intelligent capabilities are widespread in modern robotic systems, supplying quantitative factors like higher availability, fault tolerance, precision, and system flexibility. Robotic systems typically work measurably more efficiently regarding resource usage, electrical power, and waste than other industrial production line systems. New intelligent and interconnected methods (e.g., cooperative robotics, big data analysis, cyber-physical systems) contribute further to the operation efficiency. Recently, sustainability has become a significant question in robotics: modern technical society faces problems such as decreasing availability of natural resources, workforce scarcity, and environmental challenges. This work focuses on industrial robotic systems as a primary pillar for sustainability efforts in numerous production sectors, such as metallurgy, assembly lines, and construction. This paper aims to review and analyze possible sustainability indicators of the industrial applications of robotics. Based on the analysis, the paper presents a manufacturing process model with industrial robots that considers sustainability indicators. This model highlights the relationship between industrial robotization and sustainability from a quantitative and qualitative perspective. The model indicates that energy efficiency and data interconnectivity play a crucial role in the sustainability of industrial processes. The aim of the model is to help identify indicators playing a role in the sustainability of industrial robot-based manufacturing lifecycle and maintenance.

Open Access: Yes

DOI: 10.3303/CET23107014

Examining Knowledge Diffusion in the Circular Economy Domain: a Main Path Analysis

Yasanur Kayikci Suhaiza Zailani John G. Keogh Abderahman Rejeb Karim Rejeb

Publication Name: Circular Economy and Sustainability

Publication Date: 2023-03-01

Volume: 3

Issue: 1

Page Range: 125-166

Description:

The circular economy (CE) field has recently attracted significant interest from academics and practitioners. CE represents a departure from the linear economy, which is characterised by unsustainable resource production and consumption. The growing number of publications necessitates a comprehensive analysis of this field. This is the first systematic examination of the knowledge base and knowledge diffusion pathways in the CE domain. We analyse a Web of Science dataset containing 5431 articles published between 1970 and 2020. To create a comprehensive review of the CE domain, we conducted a keyword co-occurrence network analysis. We examined four distinct types of main paths using the main path analysis (MPA) technique: forward, backward, global, and key-route. According to the analyses, CE research focuses on six primary research themes: CE and sustainability, bioeconomy, CE practices, lifecycle assessment and industrial symbiosis, construction activities, and waste management. In addition, the MPA demonstrates that the CE literature has recently focused on Industry 4.0 technologies and their contribution to CE. This is the first attempt to depict the genealogy of CE research so that scholars can comprehend the domain’s evolutionary structure, identify hot topics, and capture the history, development status, and potential future directions of CE research.

Open Access: Yes

DOI: 10.1007/s43615-022-00189-3