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Found 6327 publications

Possibilities and Challenges of Monitoring and Evaluating Digital Education in Electronic Environments from a Pedagogical and Technological Perspective

Zoltan Balogh Jan Francisti Beata Orosz Kristian Fodor Jozsef Cserko Brigitta Balazs Gyorgy Molnar

Publication Name: Sami 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics Proceedings

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 69-72

Description:

PREFACE The use of various digital and smart devices and systems has also become more and more part of people's daily lives, with the emergence of the human-machine interface as a tool to help them work in various activities. Digitalisation is one of the most significant trends and tendencies of our time, and can be seen as the next step in globalisation [1]. Media literacy is an umbrella term, similar to ICT [2] and new media phenomena have become increasingly visible. Digital technology-enhanced literacy, mediated by ICT systems, is thus playing an increasingly important role, with a growing impact on society, the economy and education, and its transformative effects. The essence of these phenomena is that the new cultural form is created and exists on a digital platform [3].Mobile technology, ambient intelligence, digital games, big data-based technologies and algorithms are an integral part of this world [4]. The study and systematisation of the digital transformative effects of all these phenomena is becoming increasingly vital and has a growing impact on the learning process. On the one hand, the process of digitalisation serves as an internal driving force for digital work-based educational processes, and on the other hand, it represents a major challenge for the different actors in educational systems and for learners.

Open Access: Yes

DOI: 10.1109/SAMI54271.2022.9780733

Data-Based Assembly Patterns for Overall Equipment Effectiveness at Semi-Automatic Assembly Lines

János Jósvai Péter Dobra

Publication Name: Periodica Polytechnica Mechanical Engineering

Publication Date: 2022-01-01

Volume: 66

Issue: 3

Page Range: 231-236

Description:

In industrial practice, production planning is a key factor for manufacturers and suppliers. The entire planning process spans from the appearance of the customer demand to the fulfillment of the demand. Operational execution is based on pre-planned production processes and operations using properly allocated resources. The accurate planning of assembly operations within production is an extremely complex process in terms of efficiency. Predicting stochastically variable efficiencies is difficult due to the ever-changing manufacturing conditions. This paper defines typical assembly process situations for a semi-automatic assembly line and examines their consequence for the Overall Equipment Effectiveness (OEE). Firstly, a literature review demonstrates the scientific relevance. Secondly, the classification of patterns based on assembly process description parameters is described taking into account the positive and negative effects on the OEE. In addition, the assembly patterns and their characteristics are illustrated through a real automotive example.

Open Access: Yes

DOI: 10.3311/PPme.19910

Investigation of Tramway Line No. 1, in Budapest, Based on Dynamic Measurements

Szabolcs Fischer Vivien Jóvér László Gáspár

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 3

Page Range: 65-76

Description:

Determining the deterioration of superstructure systems is technical and has national economic importance. In addition to geometric deterioration, it is also very difficult to monitor the changes in the dynamic characteristics of the vehicles. The data from geometric and dynamic measurements should be properly analyzed to determine the deterioration, lifetime/life-cycle costs of superstructure systems and the casual relationships should be researched between the characteristics. In this paper, the geometric and dynamic measurement results of the two examined sections are compared. This analysis is the first step in exploring and understanding the relationship between each feature. The authors recommended methodologies for using the synchronized (static and dynamic) measurements and their evaluation possibilities related to tramway tracks. The method is a well-known solution for public railways; however, the tramways greatly differ. In Hungary, there is a great opportunity to introduce the static-dynamic parallel method, which can be applied for the determination of the life-cycle costs (LCC) of the tramway tracks that are assembled with different (super)structures.

Open Access: Yes

DOI: DOI not available

Increasing Patient Specificity of the Recurrent Neural Network Based Insulin Sensitivity Prediction by Transfer Learning

B. Benyo J. Geoffrey Chase Bálint Szabó K. Kovacs Ákos Szlávecz Béla Paláncz

Publication Name: Ines 2022 26th IEEE International Conference on Intelligent Engineering Systems 2022 Proceedings

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 27-32

Description:

Insulin therapy is a frequently applied treatment in intensive care to normalize the patient's blood glucose level increased by stress-induced hyperglycaemia. This therapy is generally referred to as Tight Glycaemic Control (TGC). The STAR (Stochastic-TARgeted) protocol is a TGC which uses the patient's insulin sensitivity (SI) as a key parameter to describe the patient's actual state. Prediction of the future patient's state, i.e. prediction of the patient's future SI value, is a crucial step of the protocol currently implemented by using the so-called Intensive Care INsulin Glucose (ICING) model of the human glucose-insulin system and an associated stochastic model. In our previous studies, we have shown that the Recurrent Neural Network (RNN) models are efficient alternative methods of SI prediction. In this paper, we suggest applying the so-called transfer learning technique to further enhance the accuracy of the SI prediction by using the SI history of the current patient. The paper presents the proposed methodology for applying transfer learning in SI prediction and the evaluation of the method's accuracy by comparing the outcomes with the currently applied solution. Insilico validation using real patients' data is involved in this validation.

Open Access: Yes

DOI: 10.1109/INES56734.2022.9922645

Interrelation between the climate-related sustainability and the financial reporting disclosures of the European automotive industry

Árpád Tóth Alex Suta Ferenc Szauter

Publication Name: Clean Technologies and Environmental Policy

Publication Date: 2022-01-01

Volume: 24

Issue: 1

Page Range: 437-445

Description:

The financial reports of the automotive companies' are measured in a standardized manner; therefore, they are transparent and comparable to each other, but this is not valid for the sustainability reports and it is not possible to compare their sustainability performances. Standard-setting organizations are currently searching for better reporting procedures. This study aims to investigate the connection between sustainability and financial reports for the most dominant European car manufacturers. It reviews the traceability of the sustainability elements back to the financial statements, which helps transparency, comparability, and impact measurement of the disclosed items and issues. This investigation allowed us to additionally review whether these companies are targeting to disclose the most harmful pollution impacts, or only focus to disclose the required obligatory items. Given the financial and sustainability reports magnitude manual testing would not provide complete and proper coverage, therefore we utilized an automated and AI-assisted content analysis with natural language processing. In this new review method, the sustainable elements of the textual reports were automatically retrieved following the 5-stage model of Landrum & Ohsowski (2018). The study highlights the lack of true sustainability information content of reports and the potential discrepancies and connections between the financial and the sustainability reports. Findings concluded that sustainability disclosures at the reviewed companies from several aspects could be improved and quantified, traced back to the financial disclosures, and to be comparable to each other if they apply a similar review method. Graphic abstract: [Figure not available: see fulltext.].

Open Access: Yes

DOI: 10.1007/s10098-021-02108-w

Do We Like Majority Decisions? Aspects of the Majority Principle in Voting on the Different Levels of Political Systems

Péter Smuk

Publication Name: Hungarian Yearbook of International Law and European Law

Publication Date: 2022-01-01

Volume: 10

Issue: 1

Page Range: 409-423

Description:

This article aims to review the constitutional justifications for majority requirements arising from the democratic principle, and to analyze some current controversial cases. Although the qualified majority requirement is not a new institution in either the national constitutional systems or the functioning of the EU institutions, the democratic legitimacy of majority voting faces several challenges. In order to present aspects that should be re-evaluated in the light of certain new political strategies, this paper analyses the majoritarian requirements in the Treaties, in the rules of procedures of the European Parliament and also case studies pertaining to the constitution-making majority in Hungary and the controversial case of voting on the Sargentini-report. On the basis of this assessment, we may confirm but also reconsider the majority principle.

Open Access: Yes

DOI: 10.5553/HYIEL/266627012022010001023

On the Selection the Rule Membership Functions and Fuzzy Rule Interpolation

Ferenc Lilik Brigita Sziová Szonja Krisztina Szujo Ĺaszĺo T. Ḱoczy Szilvia Nagy

Publication Name: Studies in Computational Intelligence

Publication Date: 2022-01-01

Volume: 959

Issue: Unknown

Page Range: 111-118

Description:

In many real physical systems based fuzzy inference systems the rulebase is sparse thus interpolation or the change of the shape of the rules become necessary if the rulebase parameters are selected according to physical parameters of the systems. Often measurements contain noise and outlines which can draw the statistics of the measured data. In the present article based on two independent examples, namely telecommunication line evaluation and colonoscopy image processing, we study the effect of the selection of the rulebase parameters on the effectiveness of stabilized fuzzy KH interpolation.

Open Access: Yes

DOI: 10.1007/978-3-030-74970-5_13

Some legal and social challenges of precision medicine in the age of "big genomic data"

Nogel Mónika

Publication Name: Informacios Tarsadalom

Publication Date: 2022-01-01

Volume: 22

Issue: 3

Page Range: 39-60

Description:

The purpose of this study is to describe the model of precision medicine and to analyze the challenges that this faces in the era of "big genomic data". The article discusses how it is possible to ensure the genetic data needs of precision medicine and what are the potential factors that hinder this goal.

Open Access: Yes

DOI: 10.22503/inftars.XXII.2022.3.3

Micro-Level Road Network Evaluation using Fuzzy Signature Rule Bases

Gergely Mikulai Ĺaszĺo T. Ḱoczy

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 11

Page Range: 185-205

Description:

Nowadays, due to fast-increasing economic development, the current available road infrastructure is more and more crowded, which creates frustration for the people using them. In the current research, a model is proposed for authorities, companies and individuals, to choose the best available route(s) and road sections(s) for improvement measures, optimal delivery or commuting. In the proposed model, a fuzzy signature rule base, is introduced for commuters, which distinguishes all the relevant factors during commuting. The actual decision process is based on various input data, such as peoples’ habits, assumptions and preferences and various other factors.

Open Access: Yes

DOI: 10.12700/APH.19.11.2022.11.10