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Publications - 6374

Analysis of Potential Energy Transition Schemes in Hungary: from Natural Gas to Electricity

László Palkovics Csaba Gondola Tibor Gulyás László Palkovics

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 871-876

Description:

Hungary, as a landlocked nation with limited raw material resources, faces significant challenges in ensuring a stable energy supply, necessitating extensive interconnectors with neighbouring countries for gas, oil, and electricity. While progress has been made, especially in electricity interconnections, the Russian-Ukrainian conflict and the EU’s decarbonisation goals for 2050 introduce new pressures on energy security. Hungary's energy trilemma—balancing access and affordability, environmental targets, and security—guides its strategy as it seeks an optimal energy mix. By 2050, energy demand is projected to hold steady at 210 TWh, though the current 65 % fossil fuel share, largely imported, highlights Hungary’s vulnerabilities (exposure to risks and insecurities in its energy supply). Goals include net-zero emissions, reduced foreign dependency, and manageable energy costs, with targets to reduce gas consumption to 4×109 m3 (1.5 ×109 m3) and ensure over 50 % of the energy mix is carbon-neutral electricity. The paper examines three key actions based on statistical data to achieve these targets: (a) reducing natural gas dependency, (b) boosting domestic alternative sources like local gas production and green solutions, and (c) enhancing energy system flexibility through regulation, storage, and generation. These strategies are assessed for their potential to satisfy the trilemma’s demands and provide a resilient path forward amidst evolving challenges.

Open Access: Yes

DOI: 10.3303/CET24114146

Covid-19 and the food chain? Impacts and future research trends

John G. Keogh Abderahman Rejeb Karim Rejeb

Publication Name: Logforum

Publication Date: 2020-01-01

Volume: 16

Issue: 4

Page Range: 475-485

Description:

Background: Throughout history, the world has witnessed natural disasters affecting businesses and societies with varying degrees of disruption. COVID-19 (henceforth C19) constituted a significant system shock and a stark reminder of the fragility and sensitive nature of supply chains. The pandemic has exerted considerable societal and economic pressure and has had an adverse impact on food supply chains in particular. Many food processing operations were forced to alter activities or close temporarily due to outbreaks. Societal lockdowns, travel restrictions, business closures and quarantine have led to structural changes in the productivity of economies and impacted the mental health and financial wellbeing of citizens. Methods: We present a critical review of the literature to explore the impact of C19 on the food supply chain. We collected data from journal articles retrieved from a leading scientific database (i.e., Scopus), books, chapters, conference proceedings, reports, and a variety of Internet websites. For the literature search, we used the following words; "COVID-19" and "food". Results and conclusions: The findings of the review suggest that the C19 pandemic poses unprecedented challenges for food supply chains. We reveal that C19 has raised food insecurity and food safety concerns, increased supply chain and logistics costs and radically changed consumer behavior. On the positive side, the pandemic has improved awareness of food waste and the importance of self-grown foods. We generated nine research propositions to foster future academic research. Our study also highlighted the need to advance this literature and calls for increased attention from the supply chain management and logistics community to further analyse and quantify the impact of C19 on the food chain.

Open Access: Yes

DOI: 10.17270/J.LOG.2020.502

Learning Nonlinear Models of Dynamic Systems

Zoltán Szabó József Bokor

Publication Name: Sisy 2024 IEEE 22nd International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 11-15

Description:

Modeling dynamic systems is an important part in analysing and control of various systems arising either in health sciences or in the engineering word. Recent approaches to learn models from data are the so-called kernel-based methods and SVMs. There are strong relations to the theory of reproducing kernel Hilbert space (RKHS), to principal component analysis and canonic correlation analysis known previously from statistics. In recent form their use was extended from statistics to obtain models for dynamic systems. First we summarise the basics for the reproducing kernel based Hilbert space (RKHS) and the support vector machine (SVM) approaches. Following this it will be shown how some frequently used nonlinear models can be obtained by using these concepts. In the last part we discuss the structure estimation problem, i.e. how to determine the (least) number of features (observables) to describe the nonlinear system with a sparse representation.

Open Access: Yes

DOI: 10.1109/SISY62279.2024.10737570

Implicit extension of taylor series method for initial value problems

G. Y. Molnarka

Publication Name: Journal of Computational Methods in Sciences and Engineering

Publication Date: 2005-01-01

Volume: 5

Issue: 4

Page Range: 263-270

Description:

The Taylor series method is one of the earliest analytic-numeric algorithms for approximate solution of initial value problems for ordinary differential equations. The main idea of the rehabilitation of these algorithms is based on the approximate calculation of higher derivatives using well-known technique for the partial differential equations. The approximate solution is given as a piecewise polynomial function defined on the subintervals of the whole interval. This property offers different facility for adaptive error control. This paper describes several explicit Taylor series with implicit extension algorithms and examines its consistency and stability properties. The implicit extension based on a collocation term added to the explicit truncated Taylor series. This idea is different from the general collocation method construction, which conduces to the implicit R-K algorithms [12]. It demonstrates some numerical test results for stiff systems herewith we attempt to prove the efficiency of these new-old algorithms.

Open Access: Yes

DOI: 10.3233/jcm-2005-5404

Intelligent production of the future - first results of a survey

Manuel Fechter Ádám Szaller Tamás Várgedő Gábor Nick Christian Fries Dóra Bányai Viharos Zsolt János

Publication Name: 17th Imeko TC 10 and Eurolab Virtual Conference Global Trends in Testing Diagnostics and Inspection for 2030

Publication Date: 2020-01-01

Volume: Unknown

Issue: Unknown

Page Range: 402-407

Description:

Witnessing the unprecedented scale and speed of industry transformation due to digitization in general and the emergence of smart solutions in all aspects of manufacturing in particular, it is well justified to deal with the question of what production of the future will look like. How intelligent will it be when the hard challenges and disruptive effects of the changes will be overcome, and what are the chances to meet the critical requirements of collaboration and cooperation, flexibility and competitiveness? What are the technological and management tools to avoid being stuck in the so-called pilot purgatory? These issues are addressed in an international survey based on a questionnaire specifically tailored to conclude to viable options and recommendations for industrial companies. The results that are mostly in conformity with those published in the literature show that there is yet a lot to do to facilitate a definite turn in the mindset of the actors and to make them realize the relevance of simultaneous and continuous cultural and technological development.

Open Access: Yes

DOI: DOI not available

What drives small retailers to adopt an integrated marketing communications approach?

Hongyan Yu Bill Merrilees László Józsa Kim Shyan Fam

Publication Name: Proceedings Icsssm 07 2007 International Conference on Service Systems and Service Management

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This study has sought to explain the determinants of what leads certain retailers and not others to adopt an integrated marketing communications (IMC) approach. A sample of 512 retailers in Australian capital cities were used to explore this question. Logit regression analysis has been used to identify the key determinants. The conclusion is that the size of the retail promotion budget and whether or not the retailer is part of a chain organisation are the two critical factors in explaining the adoption of an IMC approach. Both of these factors were positive and highly significant. Other factors had a very minor role to play in explaining the adoption of IMC. The paper concludes by suggesting two key managerial implications for both the large and small retailers in relation to optimising their promotion budget. © 2007 IEEE.

Open Access: Yes

DOI: 10.1109/ICSSSM.2007.4280211

Investigation of steel fibers bond strength in mortar matrix

Éva Lublóy Katalin Halvax

Publication Name: Pollack Periodica

Publication Date: 2013-12-01

Volume: 8

Issue: 3

Page Range: 101-110

Description:

In this paper the results of an investigation about steel fibers bond strength in mortar matrix are presented. Pull-out tests were made with four different types of fibers (hookedend, crimped, flat-end, anchoraged), the fibers were embedded individually into a cement based sample with three different embedded length (10, 15, 20 mm). Another variable parameter of the experiment was the strength of the matrix (three different mixture were used), and hooked-end fibers with higher tensile strength and zinc surface coating were tested also. During the tests pull-out force and displacement were measured.

Open Access: Yes

DOI: 10.1556/Pollack.8.2013.3.10

Dynamic fuzzy rule weight optimization for a Fuzzy Based Single-Stroke Character Recognizer

A. Tormási Laszlo T. Koczy

Publication Name: Ines 2013 IEEE 17th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2013-12-12

Volume: Unknown

Issue: Unknown

Page Range: 119-124

Description:

In this paper a dynamic fuzzy rule weighting method (DFW) combined with evolutionary optimization are presented for the formerly published Fuzzy Based Single-Stroke Character Recognizer (FUBAR) method. With the introduced rule weighting technique the consequent parts of the if...then... rules are calculated similarly to the original FUBAR method, but a dynamic fuzzy rule weight Wn([0,1]) described as a fuzzy set is applied to it in O n·1/Wn(On) form, where On is the output of the rule. The membership functions of DFW-s are determined by bacterial evolutionary algorithm. The paper compares the results of the proposed new algorithm with other (formerly published) FUBAR algorithms and also with other commercial and academic single-stroke recognizers in terms of recognition accuracy and computational resources needed. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2013.6632795

Development of an Artificial Intelligence Powered Medication Risk Score Calculator Application

Eva Aggerholm Sædder Elek Dinya Nóra Gyimesi Lóránd Erdélyi Péter Domján Viola Angyal Ádám Bertalan Gyula Király

Publication Name: Basic and Clinical Pharmacology and Toxicology

Publication Date: 2025-10-01

Volume: 137

Issue: 4

Page Range: Unknown

Description:

The publication explores the development of the Augmented Medication Risk Score (AUGMERIS) calculator, a web application supported by artificial intelligence, designed to automate the evaluation of medication therapies with the Danish Medication Risk Score (MERIS) method. It is a tool that assesses drug combinations and kidney function in estimated glomerular filtration rate (eGFR), which helps clinical pharmacists identify high-risk patients. To overcome the problem of processing unstructured electronic health records (EHRs), a hybrid text processing model was created by combining rigorous algorithms and Generative Pre-trained Transformer (GPT) technology, which was integrated into a web application along with an automated risk calculation programme. Our objective was to develop and test a globally accessible calculator application with the validation of performance on poor-quality data. Despite the validation limitations, the text processing function serves the application satisfactorily. The AUGMERIS web app is built with Python 3 and shared globally by Streamlit. Volunteer testers from eight different countries performed a total of 383 trial calculations. The application has the potential to improve global pharmacotherapy by identifying patients requiring medication reviews. Its wider adoption might enhance patient safety and optimize treatments in a variety of healthcare systems.

Open Access: Yes

DOI: 10.1111/bcpt.70109