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Found 6515 publications

Perceived Realism and Risk Awareness in a Browser-Based Snow-Driving Simulation

Csaba Koren Ziyad N. Aldoski Dilshad Mohammed

Publication Name: Future Transportation

Publication Date: 2026-06-01

Volume: 6

Issue: 3

Page Range: Unknown

Description:

Driving in snow presents major safety challenges due to reduced visibility and slippery road conditions. Simulation-based tools may help improve hazard awareness; however, their effectiveness depends on how realistically they represent real-world driving experiences. This study examines the perceived realism and learning outcomes of a browser-based snow-driving simulation. A total of 87 licensed drivers with prior snow-driving experience interacted with a first-person browser-based simulation and subsequently completed a structured questionnaire. Composite indices were developed to measure Real-World Risk Perception (RWRP), Simulation Realism (SRI), Learning and Reflection (LEARN), and Awareness and Behavioral Reconsideration (AWARE). Quantitative analyses included reliability testing, descriptive statistics, correlation analysis, and multiple regression, complemented by qualitative thematic analysis. Results showed that perceived simulation realism was significantly associated with self-reported learning and awareness outcomes, whereas prior real-world risk perception was only weakly associated with post-simulation responses. Behavioral consistency between reported real-world and simulated driving behaviors was limited, suggesting that increased cognitive awareness does not necessarily correspond to behavioral equivalence. Qualitative findings identified limitations in vehicle dynamics, environmental complexity, traffic interactions, and emotional realism. Overall, the findings suggest that perceived realism plays a central role in shaping learning and awareness outcomes in browser-based driving simulations. The study highlights the educational potential of accessible web-based simulation environments while also emphasizing limitations in behavioral realism and transfer.

Open Access: Yes

DOI: 10.3390/futuretransp6030114

Enhance of OEE by hybrid analysis at the automotive semi-automatic assembly lines

János Jósvai Péter Dobra

Publication Name: Procedia Manufacturing

Publication Date: 2020-01-01

Volume: 54

Issue: Unknown

Page Range: 184-190

Description:

Nowadays, industrial companies are constantly improving their processes and increasing their efficiency in order to achieve higher profits. One of the most common measures of efficiency at the semi-automatic assembly lines is the Overall Equipment Effectiveness (OEE) as a Key Performance Indicator (KPI). The goal of measurement of OEE is to improve the effectiveness of machines or production lines with minimal investments. The article presents a way to increase this indicator using an own hybrid analysis. Firstly, a literature review demonstrates scientific relevance. Secondly, a hybrid analysis is introduced for improving the efficiency. The effectiveness of the analysis is demonstrated by a practical example using data mining and line balancing, during which there was a 60% improvement in yield. Patterns recognitions by machine combined with human analysis provides this outstanding result. Hybrid analysis can be used not only on assembly lines, but also on individual machines where a lot of data is generated and the cycle time or takt time needs to be reduced for higher yields.

Open Access: Yes

DOI: 10.1016/j.promfg.2021.07.028

European round of manfred lachs space law moot court competition, 29-30 April 2010, Gyor

Mónika Ganczer

Publication Name: Acta Juridica Hungarica

Publication Date: 2010-06-01

Volume: 51

Issue: 2

Page Range: 157-161

Description:

No description provided

Open Access: Yes

DOI: 10.1556/AJur.51.2010.2.6

Perspective of Created Value in Consumer Choice: Comparison of Economic and Ecological Dimensions

Jakub Kubiczek Bartłomiej Hadasik Dominika Krawczyńska Kornelia Przedworska Aleksandra Ryczko Erika Zsuzsanna Madarász

Publication Name: Sage Open

Publication Date: 2024-01-01

Volume: 14

Issue: 1

Page Range: Unknown

Description:

This paper aims to identify and categorize the factors influencing consumer goods’ value into ecological and economic dimensions and subsequently compare them. The analysis employs the Allegro Reviews (AR) dataset, comprising post-purchase product reviews, with a focus on a sample of 1,400 randomly selected reviews from a pool of 10,615 comments. Through this examination, distinct influencing factors are identified, categorized as either ecological or economic, and their frequency of reference in online reviews was compared. The research findings show that consumers consistently address economic dimensions in their reviews. Notably, emphasis is placed on goods’ quality, pricing, and the price-quality relationship. On the other hand, ecological aspects receive limited attention in reviews, suggesting their lesser significance to consumers compared to economic considerations. This study’s implications for theory and practice indicate that companies should prioritize economic aspects in their value creation endeavors, relegating ecological factors to a secondary role. However, from a global standpoint, enterprises must incorporate ecological dimensions during the value creation process to avert environmental degradation, which could otherwise undermine overall societal quality of life. In terms of originality and value, this research diverges from typical consumer choice studies that rely on questionnaires. Instead, it analyzes actual post-purchase product reviews, providing insights into tangible elements contributing to goods’ value, thus bypassing reliance on mere declarations. JEL Classification: D11, D12, L25, L26.

Open Access: Yes

DOI: 10.1177/21582440241238516

Dual Control Design: TS fuzzy model transformation based approach

Peter Baranyi

Publication Name: 2022 IEEE 1st International Conference on Internet of Digital Reality Iod 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 69-74

Description:

The paper would like introduce the key steps of the Dual Control Design that is based on the fact that if the controller and the observer are derived from different TS fuzzy models of the given model the resulting control solution yield a better control performance. The motivation is based on the fact that finding the best controller and observer requires different features of the TS fuzzy model.

Open Access: Yes

DOI: 10.1109/IoD55468.2022.9986626

Vibration levels of stacked automotive engine rack in truck shipments as a function of vehicle speed and road condition

Péter Böröcz

Publication Name: Journal of Testing and Evaluation

Publication Date: 2020-01-29

Volume: 49

Issue: 1

Page Range: Unknown

Description:

In the past three decades, there has been a tremendous global shift in the use of returnable or reusable packaging in the automotive industry. This article focuses on the physical vibration forces that occur in a very important type of package system designed for engines and transmissions, namely the steel racks that have vertical posts on the four vertical edges that allow higher return ratios when empty. Engines and transmissions require zero damage acceptance levels today, as they are mated at the end of the assembly process, and they need to function 100 % of the time as the vehicle rolls off the finish line. They also are the most expensive components of the vehicle. This study was conducted to investigate the vibration environment of the stacked engine rack during truck transportation with various truck speeds, road conditions, and other road characteristics, such as speed bumps and railway crossings. Triaxial acceleration data were collected both on the truck floor as well as on the stacked racks themselves to determine the differences of vibration levels from truck floor to the stacked rack where vibration intensity increased. This study found that there were significant vibration severities in the stacked racks in all three orientations.

Open Access: Yes

DOI: 10.1520/JTE20180782

Numerical Modeling of Hydraulic Failure Mechanisms in Levees, River Embankments, and Earth Dams Under Climate-Induced Flood Conditions: A Systematic Literature Review

E. Koch Mais Mayassah

Publication Name: Applied Sciences Switzerland

Publication Date: 2026-06-01

Volume: 16

Issue: 11

Page Range: Unknown

Description:

Hydraulic failure in levees, river embankments, and earth dams represents a critical challenge in flood risk management, particularly under increasing climate-induced hydrological stresses. This study presents a systematic literature review of numerical, probabilistic, and data-driven modeling approaches used to assess hydraulic failure mechanisms in earthen flood-protection structures. A structured search was conducted in Scopus, Web of Science, and Taylor & Francis for peer-reviewed English-language journal articles published between 2015 and 2026. Following duplicate removal, title and abstract screening, and full-text eligibility assessment, 65 studies were included in the final synthesis. Based on the synthesis, an integrated mechanism–model–uncertainty framework is developed to relate hydraulic loading conditions, soil response, dominant failure mechanisms, appropriate numerical modeling approaches, uncertainty treatment, and climate-related stressors. This study provides valuable insights for engineers, researchers, and policymakers by identifying key advances, limitations, and future research directions for improving levee resilience. Study quality was assessed using a structured quality assessment rubric. The review protocol was not registered in a public registry, and no external funding was received.

Open Access: Yes

DOI: 10.3390/app16115572

Challenges and responses in the geo-engineering education

P. Scharle

Publication Name: Proceedings of the 1st International Conference on Education and Training in Geo Engineering Sciences Soil Mechanics Geotechnical Engineering Engineering Geology and Rock Mechanics

Publication Date: 2008-01-01

Volume: Unknown

Issue: Unknown

Page Range: 443-446

Description:

Structural engineers assess the geotechnical problems as difficult to model, complicated to calculate and full of crude approximations. In return, clear constraints hindering the practical use of advanced mechanical theories and computational software decrease the interest of geotechnicians in studying and applying them. In designing complex structures both sides restrict themselves in many cases to the exchange or prescription of some data given on interfaces. The paper presents an overviewon differences either loosing their importance or remaining significant between these structural and geotechnical perspectives. Educational consequences related to the Bologna-process are discussed. Role of case studies and understanding of the observational method's importance are stressed. The paper concludes that geotechnical education should and could correspond to the challenges with more conscious and better structured curricula. © 2008 Taylor & Francis Group, London.

Open Access: Yes

DOI: DOI not available

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