Search in Publications
Found 6374 publications
The firm geography of Central and Eastern Europe and the Western Balkans
Publication Name: Journal of Urban and Regional Analysis
Publication Date: 2025-01-01
Volume: 17
Issue: 1
Page Range: 5-35
Description:
Over the past three decades, significant socio-economic transformations have reshaped the post-socialist states of Central and Eastern Europe. This study examines the geography of firms with over 10 employees across 15 countries: Albania, Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Hungary, Kosovo, Montenegro, North Macedonia, Poland, Romania, Serbia, Slova-kia, and Slovenia. Using data from over 300,000 firms, the analysis focused on firm size categories, turnover, and activity distribution. The research highlighted disparities between post-socialist and other countries, and it employed descriptive statistics and the framework of agglomeration economies to uncover nuanced spatial patterns. The findings revealed significant differences in business concentration and the functions of small and medium-sized cities, particularly in the regions without a European-scale metropolis, emphasising their role in regional economic and demographic sustainability.
Open Access: Yes
Trade-offs in warehousing storage location reassignment
Publication Name: International Journal of Logistics Systems and Management
Publication Date: 2025-01-01
Volume: 51
Issue: 4
Page Range: 524-538
Description:
In the low-level picker-to-parts warehouses the order picking is the most time- and cost consuming process. The performance indicator for order picking is lead time. The system can be considered efficient if these lead times can be kept low, but this is heavily influenced by the storage location assignment in the warehouse, the routing, and the warehouse layout. The objective of this research is to investigate in what cases and to what extent reassignment and repositioning tasks following efficiency deterioration as well as seek answers to how to minimise these costly tasks and maintain a near-ideal storage location assignment. To solve this problem, an intelligent system concept is presented, which aims to support the warehouse operator in making replenishment decisions, which picking storage to replenish based on the current rotation of item, and which products to repositioning, while maintaining a near ideal storage location assignment. The aim of this paper is to highlight the potential decision points and circumstances, when adaptive storage location reassignment would be necessary and how this concept can help everyday warehouse logistics.
Open Access: Yes
Efficient Uncertainty Quantification in Seismic Site Response via Random Field Modeling
Publication Name: Geotechnical Special Publication
Publication Date: 2025-01-01
Volume: 2025-March
Issue: GSP 366
Page Range: 158-169
Description:
Assessing seismic site response with absolute certainty remains challenging due to inherent soil variabilities. Soil variabilities primarily stem from natural geologic processes and lie beyond human control. Soil characteristics, including shear wave velocity, shear modulus, unit weight, and plasticity, exhibit inherent randomness and variability. These factors significantly influence seismic site responses, making it crucial to account for parameter uncertainty in seismic behavior characterization. Precisely characterizing this uncertainty is essential for reliable seismic hazard assessment and the design of earthquake-resistant structures. However, this task faces challenges due to the computational expense associated with many model realizations. In this study, a computationally efficient and user-friendly model for estimating peak ground acceleration (PGA), displacement (PGD), and quantifying uncertainty was developed. The methodology comprises two main steps: (1) 2D equivalent linear seismic site response analyses were simulated using MIDAS GTS NX commercial software. These simulations incorporated randomly generated properties of clay soil, including maximum shear modulus (G0), unit weight (γ), and plasticity index (PI). (2) Leveraging data from the site response analyses, a Bayesian regression model was developed using the R programming language. The accuracy and reliability of the developed model were validated using a new data set, and the results closely aligned with finite element method (FEM) outcomes. By accounting for soil inherent variabilities, the model effectively characterizes the uncertainty of PGA and PGD using mean and coefficient of variation (CoV). Remarkably, the Bayesian approach yielded CoV of response parameters up to 2.33%, a substantial 94.37% relative difference compared to the FEM. Notably, this improvement in uncertainty was achieved while maintaining computational efficiency.
Open Access: Yes
The Gaza conflict and its implications for the sustainable development goals: a comprehensive analysis
Publication Name: Environment Development and Sustainability
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
The ongoing conflict in the Gaza Strip has precipitated a severe humanitarian and socio-economic crisis with profound implications for sustainable development across environmental, social, and economic dimensions. As of June 2025, hostilities have resulted in approximately 55,000 fatalities and thousands of severe injuries, with critical infrastructure, such as hospitals, schools, and sanitation facilities, have been devastated. This study examines the far-reaching impacts of the Gaza conflict on progress toward the United Nations Sustainable Development Goals (SDGs), focusing mainly on areas such as public health, education, clean water access, and environmental preservation. The roots of the current crisis trace back to 2007, when a blockade was imposed, severely limiting access to essential resources and contributing to prolonged socio-economic decline. Escalating hostilities since October 2023 have intensified these challenges, leading to the degradation of vital natural resources, widespread environmental pollution, and further damage to already fragile ecosystems. This research employs a comprehensive review of both scholarly and grey literature, utilizing data from international reports and region-specific studies to assess how conflict-driven disruptions have impacted Gaza’s trajectory toward critical SDGs. The study applies the ‘Wedding Cake’ model of sustainable development to illustrate how environmental degradation undermines social structures and economic stability. By framing Gaza’s challenges within the SDG framework, this analysis underscores the critical need for a multifaceted, globally coordinated response to address the intertwined crises of human suffering, environmental destruction, and economic collapse. Ultimately, the study advocates for sustainable solutions prioritizing ecological health and resilience as foundations for long-term peace and recovery in Gaza and beyond.
Open Access: Yes
Wind-Disturbance Integrated LPV Model for Energy-Efficient Vehicles †
Publication Name: Engineering Proceedings
Publication Date: 2025-01-01
Volume: 113
Issue: 1
Page Range: Unknown
Description:
This paper introduces a control-oriented Linear Parameter Varying (LPV) model of an energy-efficient electric vehicle, enhanced to account for wind-induced disturbances. The proposed model structure is designed to support model-based control strategies focused on minimizing energy consumption. In addition to core control inputs—such as torque reference and cornering radius—the model integrates a simulated representation of wind effects on the vehicle’s longitudinal dynamics. To manage the underlying nonlinearities of the vehicle dynamics, a trajectory-based linearization approach was employed to construct the baseline LPV model without wind effects. The accuracy of the extended model was validated using real-world speed profile data. Owing to its modular and control-compatible design, the model provides a solid foundation for testing and developing energy-saving control strategies, making it especially applicable to the design and operation of energy-efficient electric vehicles. The proposed model holds significant potential for further reducing energy consumption, particularly in urban transportation scenarios.
Open Access: Yes
The Autonomous Software Stack of the FRED-003C: The Development that LED to Full-Scale Autonomous Racing
Publication Name: IEEE Intelligent Vehicles Symposium Proceedings
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: 1661-1667
Description:
Scientific development often takes place in the context of research projects carried out by dedicated students during their time at university. In the field of self-driving software research, the Formula Student Driverless competitions are an excellent platform to promote research and attract young engineers. This article presents the software stack developed by BME Formula Racing Team, that formed the foundation of the development that ultimately led us to full-scale autonomous racing. The experience we gained here contributes greatly to our successful participation in the Abu Dhabi Autonomous Racing League. We therefore think it is important to share the system we used, providing a valuable starting point for other ambitious students. We provide a detailed description of the software pipeline we used, including a brief description of the hardware-software architecture. Furthermore, we introduce the methods that we developed for the modules that implement perception; localisation and mapping, planning, and control tasks.
Open Access: Yes
Mobile and Web Tools for Analyzing Driver Mental States in Simulated Tests †
Publication Name: Engineering Proceedings
Publication Date: 2025-01-01
Volume: 113
Issue: 1
Page Range: Unknown
Description:
Enhancing road safety requires an accurate assessment of the drivers’ mental states. The Driver Status Test App (DSTA) is designed to detect conditions such as intoxication, fatigue, and cognitive impairment in simulated driving environments. Utilizing a dual-platform approach, it integrates mobile data collection via React Native and Firebase with web-based management using React and TypeScript. The mobile application conducts real-time assessments of cognitive and motor functions, while the web interface offers data visualization, trend analysis, and results exportation. DSTA evaluates driver impairment through metrics such as tracking, precision, balance, and choice reaction, producing an objective impairment score. These assessments are rapid, scalable, and adaptable for various research and regulatory purposes. The composite scoring framework differentiates between impaired and unimpaired states, making DSTA valuable for driver training programs, regulatory assessments, and autonomous vehicle research, where monitoring human factors is crucial.
Open Access: Yes
CONTRIBUTION OF MODERN INDUSTRIAL REVOLUTIONS TO SECURING SOCIO-ECONOMIC SYSTEMS DURING THE WAR AGAINST UKRAINE
Publication Name: Problems and Perspectives in Management
Publication Date: 2025-01-01
Volume: 23
Issue: 2
Page Range: 921-937
Description:
The modern industrial revolutions have significantly influenced social and political landscapes, prompting critical inquiries into the security and integrity of socio-economic systems, particularly in the context of military confrontation. This paper investigates the role of disruptive technologies associated with Industries 3.0, 4.0, and 5.0 in safeguarding socio-economic systems amid the ongoing russian war against Ukraine. The paper highlights how modern technologies have bolstered system resilience and adaptability by examining progress in green energy, transport transition, and the development of digital infrastructure and services before the war. Green energy and transport technologies have been instrumental in decentralization, energy networking, compensating for energy losses, and mitigating disruptions caused by the war. The proliferation of electric vehicles and the expansion of charging infrastructure have significantly reduced the potential impact of aggression, facilitating evacuations and supporting essential services during fuel shortages. Digital technologies have played a crucial role in ensuring continued access to education, employment, and communication, thereby strengthening societal resilience and reinforcing human capital, a key factor in socio-economic system security. This marks a shift from a technocratic to a system-synergistic, human-centered security model, where human capital becomes a core determinant of resilience, and technologies evolve from mere tools into integral elements of a sustainable socio-economic structure. Nevertheless, challenges related to technological dependencies, such as supply chain vulnerabilities and cyber threats, require further investigation in future research.
Open Access: Yes
Rational Gaussian Wavelets and Corresponding Model Driven Neural Networks
Publication Name: IEEE Transactions on Signal Processing
Publication Date: 2025-01-01
Volume: 73
Issue: Unknown
Page Range: 3140-3155
Description:
In this paper we introduce a highly adaptive continuous wavelet transform using Gaussian wavelets multiplied by an appropriate rational term. The zeros and poles of this rational modifier act as free parameters and their choice highly influences the shape of the mother wavelet. This allows the proposed construction to approximate signals with complex morphology using only a few wavelet coefficients. We show that the proposed rational Gaussian wavelets are admissible and provide numerical approximations of the wavelet coefficients using variable projection operators. In addition, we show how the proposed variable projection based rational Gaussian wavelet transform can be used in neural networks to obtain a highly interpretable feature learning layer. We demonstrate the effectiveness of the proposed scheme through a number of numerical experiments including biomedical applications, and the detection of abnormal road surface based on tire sensor signals.
Open Access: Yes
