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Publications - 6374

Vertical random vibration test spectrum to simulate forklift handling environment

Laszlo Horvath Péter Böröcz Yu Yang Huang

Publication Name: Journal of Testing and Evaluation

Publication Date: 2022-03-01

Volume: 50

Issue: 2

Page Range: Unknown

Description:

Analyzing and measuring the vibration environment during distribution is fundamental to understanding and simulating the ability of a packaged-product system to avoid any damages from transportation hazards. During distribution, various vehicles, including forklifts, are used to perform shipping and handling tasks such as loading, unloading, and warehouse organizing processes. The aim of this paper was to provide an understanding of the average vibration levels that occur during handling so they can be used in pre-shipment testing. Various forklifts were observed, measured, and analyzed to obtain information about their average vibration levels while performing recommended tests. The measured acceleration-time data were analyzed in terms of power spectral densities (PSD) and presented with statistical data that provided an understanding of the variability of intensity. The PSD peaks were between approximately 2.5 and 5 Hz, and then they decreased to 120 Hz. The number of instances over 120 Hz was extremely low. The final recommended vibration test spectrum was determined to be in the frequency range of 1–120 Hz and the data were smoothed between six breakpoints.

Open Access: Yes

DOI: 10.1520/JTE20210293

Toward a Theoretical Framework for Digital Twin Readiness Assessment in Logistics: Conceptualization and Model Development †

László Buics Lahiru Vimukthi Bandara

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Digital Twins provide comprehensive capabilities to solve critical logistics problems such as visibility, monitoring, optimization, prediction, and simulation. This study explores the existing DT readiness assessment models in SCs and logistics, discovers their limitations, and proposes a conceptual model based on an organization’s internal and external attributes to strategize DT implementation in logistic functions. The results showed that the existing readiness assessment models have weaknesses and drawbacks, motivating the researchers to develop a new logistic DT readiness assessment model. This study identified six main organizational dimensions directly affecting measuring overall logistics’ DT readiness, which are management readiness, personnel readiness, information readiness, organization readiness, product readiness, and process flow readiness. Their relationship is mediated by Technology Integration and moderated by Supply Chain Complexity, which was tested using partial least squares structural equation modeling to show the importance of strategizing DT implementation in logistics.

Open Access: Yes

DOI: 10.3390/engproc2025113066

Real-Time Data Processing in Business Communication of B2B Supply Chain

Edit Süle Matthew Boota

Publication Name: International Conference on Artificial Intelligence Computer Data Sciences and Applications Acdsa 2026

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The paper examines how real-time data integration enhances communication, coordination, and decision-making in business-to-business (B2B) supply chains. It focuses on the use of Enterprise Resource Planning (ERP), Electronic Data Interchange (EDI), Application Programming Interfaces (APIs), and cloud-based systems to support seamless information exchange between business-to-business partners. Despite advances in digitalization, many organizations struggle to implement a fully integrated communication due to inconsistent data, a lack of standardization, limited interoperability, and restrictions in realtime synchronization across partners. A qualitative pilot study was conducted using semi-structured interviews with seven industry professionals from the manufacturing, automotive, pharmaceutical, healthcare, energy, and logistics sectors, along with case studies of real-world examples from Walmart, Nestlé, and GS1, to understand how these organizations successfully practice integration. The study reveals that firms with consistent master-data governance and integrated platforms achieve higher visibility, improved collaboration, and fewer operational delays. The paper concludes that the stages of digital integration performance include a practical overview of challenges in integration, the technologies currently in use, and key innovations planned for future adoption.

Open Access: Yes

DOI: 10.1109/ACDSA67686.2026.11467829

Agent-Based Intelligent Fuzzy Traffic Signal Control System for Multiple Road Intersection Systems

Tamrat Delessa Chala Ĺaszĺo T. Ḱoczy

Publication Name: Mathematics

Publication Date: 2025-01-01

Volume: 13

Issue: 1

Page Range: Unknown

Description:

Traffic congestion at a single intersection can propagate and thus affect adjacent intersections as well, potentially resulting in prolonged gridlock across an entire urban area. Despite numerous research efforts aimed at developing intelligent traffic signal control systems, urban areas continue to experience traffic congestion. This paper presents a novel agent-based fuzzy traffic control system for multiple road intersections. The proposed system is designed to operate in a decentralized manner, with each intersection having its own agent (fuzzy controller) functioning concurrently. The intelligent fuzzy controller of the system can recognize emergency vehicles, assess the queue length and waiting time of vehicles, measure the distance of vehicles from intersections, and consider the cumulated waiting times of short vehicle queues. Two distinct types of agent-based intelligent fuzzy traffic control systems were implemented for comparison: one involving collaboration between an agent and its immediate neighboring agent(s) (where one intersection exchanges traffic data with its immediate neighboring intersection(s)), and the other implementing a non-collaborative agent-based intelligent fuzzy traffic control system (where the individual intersection has no direct communication). Following the experimental simulations, the results were compared with those of existing intelligent fuzzy traffic control systems that lack any module to calculate the distance of the vehicles from the intersection. The results demonstrated that the proposed agent-based system of controllers exhibited superior performance compared with the existing fuzzy controllers in terms of indicators such as average waiting time, fuel consumption, and CO2 emissions. For instance, the proposed system reduced the average waiting time of vehicles at an intersection by 48.65% compared with the existing three-stage intelligent fuzzy traffic control system. In addition, a comparison was conducted between non-collaborating and collaborating agent-based intelligent fuzzy traffic control systems, where collaboration achieved better results than the non-collaborating system. In the simulation experiments, an interesting new feature emerged: despite any direct communication missing at multiple intersections, green waves evolved with time. This emergent feature suggests that fuzzy controllers have the potential to evolve and adapt to traffic complexity issues in urban environments when operating in an autonomous agent-based mode. This study demonstrates that agent-based fuzzy controllers can effectively communicate with one another to share traffic data and improve the overall system performance.

Open Access: Yes

DOI: 10.3390/math13010124

Smart economy and startup enterprises in the visegrád countries—a comparative analysis based on the crunchbase database

Szabolcs Fischer Mihály Lados Petra Kinga Kézai

Publication Name: Smart Cities

Publication Date: 2020-12-01

Volume: 3

Issue: 4

Page Range: 1477-1494

Description:

The present study seeks to explore the concept of “smart economy” through the definition of the smart city. It also presents smart city subsystems and the smart city model. It focuses on smart and creative startups within the smart city model. The research examines medium-sized cities in the Visegrád countries (Czech Republic, Slovakia, Poland, Hungary) with a population ranging from 100,000 to 1 million inhabitants for startups. The research question is: Where are the medium-sized cities in the Visegrád countries that are both startup centers and smart cities? In the course of the research, the term “smart cities” was based on the definition set by the European Commission and the definition of startup centers was made using data analysis of the American Crunchbase database. As a result of the two studies, it can be concluded that there are no cities in the Visegrád countries with an above average level of both startup presence and smart cities.

Open Access: Yes

DOI: 10.3390/smartcities3040070

Legal Framework and Data Storage Background of Online Collected Data for Predictive Maintenance and Repair Purposes in the Automotive Sector in the European Union

I. Lakatos Jozsef Nagy Roland Kelemen Gergely Karácsony

Publication Name: IEEE Access

Publication Date: 2025-01-01

Volume: 13

Issue: Unknown

Page Range: 157986-158000

Description:

This research begins with a simple but essential question: In predictive vehicle maintenance, where should raw data from a car be stored? Some argue that it makes sense to keep it within the vehicle, managed directly by its control units. Others prefer sending it to a backend system for evaluation by larger models. We found that this decision cannot be made based solely on technical reasoning. The legal conditions surrounding personal data, cybersecurity, product responsibility, and AI-based systems in the European Union carry equal weight in shaping feasibility. These regulations not only impose constraints but also actively influence the design and application of such technologies in real-world scenarios. The findings suggest that legal barriers frequently limit implementation more than current technical capabilities. Addressing these constraints early in the design process is crucial, as they define not only what types of data processing are permitted but also how predictive maintenance services can be delivered to users. To support responsible development, this study proposes a legal-technical framework tailored to the European regulatory landscape. It aligns predictive maintenance systems with key European Union regulations, including the GDPR, Cybersecurity Act, Cyber Resilience Act, and AI Act.

Open Access: Yes

DOI: 10.1109/ACCESS.2025.3594772

Innovation and Technology in the Russo-Ukrainian War

I. Lakatos Imre Porkoláb Ferenc Dávid

Publication Name: Connections

Publication Date: 2024-01-01

Volume: 23

Issue: 1

Page Range: Unknown

Description:

Technology and innovation have significantly influenced the Russo-Ukrainian war, impacting not only the armed conflict but also the reconstruction of reclaimed territories and the restoration of services. Few believed in Ukraine’s survival when the Russian invasion began in February 2022. This article examines how Ukraine, through its ability to embrace technological advancements and apply innovative solutions, gained a comparatively advantageous position against Russian aggression. We focus on the fundamental differences in the early stages of the war, particularly highlighting Ukraine’s adept integration of emerging dual-use and advanced Western products and technologies.

Open Access: Yes

DOI: 10.11610/CONNECTIONS.23.1.09

A method to accurately define arbitrary algorithmic damping character as viscous damping

Balázs Pere Daniel Serfozo

Publication Name: Archive of Applied Mechanics

Publication Date: 2023-09-01

Volume: 93

Issue: 9

Page Range: 3581-3595

Description:

Undesired oscillations often emerge in numerical solutions, especially in the case of dynamic problems. These are mainly spurious oscillations which must be eliminated or reduced at least to provide accurate results. Numerical methods with damping effect are especially useful to achieve this goal. However, the concrete shape of the damping characteristics has a great impact on the effectiveness. Dissipative numerical methods mostly have a specific damping character with very limited alteration possibility. In this article, a novel numerical method has been introduced where the dissipative effect is exerted via viscous damping. Using the proposed method, a great variety of damping curves can be defined accurately, straight through the determination of the algorithmic damping ratio. The newly developed technique is mainly useful for applications where the shape of the damping characteristics significantly affects the accuracy.

Open Access: Yes

DOI: 10.1007/s00419-023-02454-9

The impact of the coronavirus pandemic on the mental health of critical care workers

Zana Ágnes Szvath Petra Takács Szabolcs Hermann Csaba Mátay Gábor Bódi Bernadett

Publication Name: Orvosi Hetilap

Publication Date: 2023-10-22

Volume: 164

Issue: 42

Page Range: 1646-1655

Description:

Introduction: The coronavirus pandemic has focused attention on the importance of critical care and highlighted the shortage of critical care specialists. Due to increasing workloads and high mortality rates, healthcare professionals were exposed to higher levels of physical and psychological stress during the pandemic than before. Objective: Our study investigated the effects of the coronavirus outbreak on the emotional, mental and moral stress of intensive care professionals. Method: Our workgroup performed paper-based surveys among caregivers in the Department of Anaesthesiology and Intensive Therapy at Semmelweis University. The first survey was conducted at the start of the pandemic in 2020, the second survey was conducted after the third wave in 2021. We applied validated questionnaires (Professional Quality of Life, Demoralization Scale, Perceived Stress Scale, Impact of Event Scale, and Posttraumatic Growth Inventory), collected demographic data and information on lifestyle, recreation, dietary habits, and accepting psychological support. Results: The number and demographic characteristics of the participants in the two studies are different, reflecting the changes in the workforce during the pandemic. Our results revealed no differences between the working and socio-demographic groups before the outbreak, however, one year later, nurses scored significantly higher on all negative psychological scales compared to other groups. Only a minority of the respondents had sought psychological support (9.5–12.7%), although more than a third of respondents reported the need for psychological support. Employees in new work positions showed significantly increased posttraumatic growth (2.91 ± 0.82 vs. 2.20 ± 1.06, p = 0.016). Discussion: These findings demonstrate that nurses are the most strained workgroup during an uncertain and stressful period. The available mental support alone is not enough to help caregivers. Conclusion: Further steps are needed to improve the mental health of critical care workers

Open Access: Yes

DOI: 10.1556/650.2023.32888