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Found 6334 publications

Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment

Bálint Kővári Bálint Pelenczei István Gellért Knáb László Palkovics Tamás Bécsi

Publication Name: Proceedings of the International Conference on Informatics in Control Automation and Robotics

Publication Date: 2024-01-01

Volume: 2

Issue: Unknown

Page Range: 15-25

Description:

During the development of modern cities, there is a strong demand articulated for the sustainability of progress. Since transportation is one of the main contributors to greenhouse gas emissions, the modernization and efficiency of transportation are key issues in the development of livable cities. Increasing the number of lanes does not always provide a solution and often is not feasible for various reasons. In such cases, Intelligent Transportation Systems are applied primarily in urban environments, mostly in the form of Traffic Signal Control. The majority of modern cities already employ adaptive traffic signals, but these largely utilize rule-based algorithms. Due to the stochastic nature of traffic, there arises a demand for cognitive decision-making that enables event-driven characteristics with the assistance of machine learning algorithms. While there are existing solutions utilizing Reinforcement Learning to address the problem, further advancements can be achieved in various areas. This paper presents a solution that not only reduces emissions and enhances network throughput but also ensures universal applicability regardless of network size, owing to individually tailored state representation and rewards.

Open Access: Yes

DOI: 10.5220/0012920800003822

The Changing Business Ethics and Etiquette, in Slovakia and Hungary, due to Globalization

Erika Seres Huszárik Zsuzsanna Tóth Suffian Hadi Ayub Mohamad Noor Salehhuddin Sharipudin László Józsa Kim Shyan Fam

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2024-01-01

Volume: 21

Issue: 6

Page Range: 89-106

Description:

There are significant differences between the culture, ideology, and values of different nations, so it is not surprising that there are differences in business ethics and etiquette. Therefore, it is essential when establishing and maintaining business relations that the parties get to know each other's ethnic customs or general international etiquette to approach each other with greater understanding and develop more successful business negotiations and business relationships. This paper aims to illustrate the similarities and differences in etiquette behavior, through the examples of two neighboring countries (Slovakia and Hungary). Based on the results of our primary, questionnaire-based, cross-national research, we conclude that companies in both Hungary and Slovakia consider that the manifestations of business ethics in the countries have improved over the last ten years due to globalization.

Open Access: Yes

DOI: 10.12700/APH.21.6.2024.6.5

Designing assessment processes using the student involvement method by WTCAi system

Eniko Nagy Karl Eva Gyorgy Molnar

Publication Name: 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics Sami 2024 Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 237-241

Description:

The quality assurance of education and training is of paramount importance, and the monitoring, assessment and evaluation process is indispensable for this purpose. A key determinant of the effectiveness of education is assessment, which serves not only to measure performance but also to support the learning process. The process of assessment and evaluation must take into account the diverse needs and abilities of students. Differentiated assessment supports individual learning paths and personal development. Assessment must be objective and valid, but it can achieve its deeper developmental purpose when personalized. Our research aims to enhance pedagogical assessment efficiency by developing a machine learning-supported assessment system. The research focuses on developing STEM skills and analyzes children's questions to understand their interests and needs better. During the research, we observe the characteristics of questions posed by children and develop a machine learning algorithm that helps provide suggestions to educators for creating assessment questions. Based on the data, we identify children's areas of interest and the difficulty level of questions. According to the research results, children's questions can significantly differ from question sets prepared by educators, suggesting that children's diverse perspectives and interests should be given even greater consideration in teaching. The research also raises further directions for development. It aims to use machine learning to understand better the diverse ways of thinking and differences in expression among children, thereby making education and assessment more effective. This can contribute significantly to the efficiency and effectiveness of the teaching-learning process.

Open Access: Yes

DOI: 10.1109/SAMI60510.2024.10432808

AI-Driven IoT-based Energy Community Platform Design, Model Experimentation and Implementation Insights

Adrienn Dineva Rita Fleiner Ágnes Gerse Istvan Lovas Zsolt Bringye

Publication Name: 2024 22nd International Conference on Intelligent Systems Applications to Power Systems Isap 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In recent years, decentralized renewable energy production has gained increasing importance. Challenges of distributed energy production include fluctuations in weather-dependent energy generation, which may not always meet peak consumption periods and can result in significant overproduction during low-load periods. Managing production and consumption is a fundamental task for efficient renewable energy utilization. The application of lithium-ion or other advanced battery technologies as community energy storage provides a more reliable power supply when operated optimally with advanced energy management and control systems. Digital platforms form the basis of Energy Communities, supporting necessary processes and functionalities, and enabling the integration of smart grids that utilize data from IoT devices, meteorological sources, and energy markets. This paper presents a design of an Energy Community management platform and digital tools that provide a systematic framework for mapping energy consumption trend within energy communities. Adopting a digital platform for an energy community involves the integration of IoT devices, a centralized database, and a software platform equipped with AIbased forecasting tools. Additionally, investigations into various modeling approaches have highlighted the superior performance of hybrid deep learning models, specifically those combining GRU and LSTM architectures, in predicting energy consumption. These models excel in forecasting consumption peaks, which is crucial for optimizing energy distribution and storage within the community and are able to overcome the limitations of classical forecasting methods, which usually do not account for external variables like weather changes, consumer trends, and technological advancements that might affect energy use.

Open Access: Yes

DOI: 10.1109/ISAP63260.2024.10744343

The Effect of Wood Flour Incorporation on the Properties of Injection Molded Poly(Lactic Acid) Products †

László Lendvai Sándor K. Jakab Virág Luca Bódi

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Wood flour-paired poly(lactic acid) (PLA)-based biocomposites were fabricated with filler contents of 0, 2.5, 5, 10, and 20 wt.%. The samples were processed through extrusion followed by injection molding. The injection-molded specimens were subjected to tensile tests, impact tests, and water absorption tests. Based on the results, increasing the amount of lignocellulose fibers effectively improved the modulus of PLA from 2.8 to 3.6 GPa at 20 wt.% wood flour loading; however, this came at the cost of strength, which dropped from 55.0 to 48.8 MPa. Additionally, the incorporation of lignocellulose increased the hydrophilicity of the composites, resulting in a threefold increase in water absorption at 10 wt.% filler content. These results provide insight into the effects of embedding lignocellulose fibers into PLA.

Open Access: Yes

DOI: 10.3390/engproc2024079043

Procedure for Battery Module Assessment in Hybrid Vehicles

Szabolcs Kocsis Szurke

Publication Name: 2024 23rd International Symposium on Electrical Apparatus and Technologies Siela 2024 Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Electric and hybrid vehicles are becoming increasingly popular among environmentally conscious consumers, significantly impacting the automotive industry and the development of battery technologies. Fast diagnostic solutions are becoming critical as battery systems wear out over time and performance degrades. This study aims to investigate the battery system of a dedicated electric vehicle, the Toyota Prius, and its condition diagnostics. The test was performed by querying and saving the data using a custom Arduino-based specific measurement tool. The battery modules in the system were tested separately during the evaluation. During the condition assessment, the deviation from the average voltage of different sizes is analyzed and weighted individually depending on the size of the deviation. The analyses also cover more static and dynamic driving styles. The results show the influence of the driving style on the module voltage deviation. Furthermore, the method allows the detection and localization of weak battery modules in the system.

Open Access: Yes

DOI: 10.1109/SIELA61056.2024.10637881

Illicit practices: Experience of developed countries

Tetiana Vasylieva Hanna Yarovenko Sándor Remsei Leonas Ustinovichius

Publication Name: Journal of International Studies

Publication Date: 2024-01-01

Volume: 17

Issue: 2

Page Range: 146-177

Description:

The article is devoted to finding the answer to two research questions. What illegal practices are most significant for clusters of developed countries formed by similarities in trends in corruption, shadow economy, money laundering, and crime rates? What social, economic, regulatory, and digital factors most influence them in each group? The pair correlation coefficients for illicit practices indicators confirm the presence of tight and statistically significant relationships in their trends for 36 developed countries. The agglomerative clustering and canonical analysis results identified that tackling the shadow economy is crucial for Estonia, Slovenia, and Lithuania; corruption for Portugal, Hungary, Cyprus, etc.; the shadow sector and crime levels for Denmark, Norway, Finland, Sweden, and New Zealand; corruption, money laundering, and crime for Canada, Germany, the USA, etc.; four illegal practices for Italy, Greece, Turkey, Croatia, Bulgaria, and Romania. The canonical analysis revealed that social and regulatory factors influence the trends of illicit practices in developed countries more than economic and digital ones. Network analysis showed their single moderate influence in most cases. Edge evidence probability analysis confirmed a high probability of a relationship between some pairs of social, economic, regulatory, digital and illegal indicators. However, Bayesian network analysis showed a low likelihood of mutual influence of single factors, confirming the importance of the group influence.

Open Access: Yes

DOI: 10.14254/2071-8330.2024/17-2/8

Identification of the Main Factors (Concepts) of Waste Management for Building the Initial FCM Model

Adrienn Buruzs

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2024-01-01

Volume: 427

Issue: Unknown

Page Range: 25-31

Description:

For the first phase of the modelling, the authors created a graph and a connection matrix of six system components based on the literature. The RWMS differs from conventional waste management methods in that it involves stakeholders in decision-making; focuses on waste prevention and resource exploration; takes into account interactions with other systems and seeks to promote integration between different scales of residence (city, region, and region). ‘Technology’ in this sense includes both ‘hardware’ and ‘software’ (van de Klundert and Anschutz [10]). One of the pillars of the sustainability of the system is the involvement of stakeholders, because it leads to a sense of responsibility for the success of the system, at least when it serves the political and economic interests of the parties. At the beginning of this research, the authors examined the driving forces and sustainability conditions of the RWMS and identified the main aspects based on the literature, which will form the starting FCM model.

Open Access: Yes

DOI: 10.1007/978-3-031-37959-8_3

Hamiltonian-Based Control Approach with Pendulum Application

Claudiu Radu Pozna Áron Ballagi Radu Emil Precup

Publication Name: Saci 2024 18th IEEE International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 593-598

Description:

The paper proposes a design method dedicated to control systems, which use a certain energy function (surface), called the Hamiltonian of the system. The plant requires, most of the time, the convergence at different fixed points and at the same time in different ways (different behaviors). This phenomenon is possible by modifying the initial energy surface. Modification of the energy surface can be achieved by external (generalized) forces. The formalism suggested in this paper allows the calculation of generalized forces and, finally, to obtain the mentioned changes.

Open Access: Yes

DOI: 10.1109/SACI60582.2024.10619844