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Publications - 6273

Sustainable Capacity Expansion in Family-Owned Food Enterprises: Mechanisms for Reducing Harmful Emissions

Marta Konczosne Szombathelyi Marzia Ingrassia Kinga Nemes Péter Kovács

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 7-12

Description:

In response to global sustainability demands, this study aims to assess how family-owned food industry enterprises integrate emission reduction mechanisms into their capacity expansion strategies, with the goal of identifying key internal decision-making drivers and evaluating their environmental effectiveness. Family-owned food enterprises were chosen as they dominate the European agro-food sector and, through their long-term orientation and intergenerational responsibility, provide a unique context for aligning growth with sustainability. Energy usage and investment data from five such businesses were analysed over a three-year period. While energy data supported quantitative modelling of emission trends, the investment records—extracted from sustainability reports—were qualitatively assessed and coded according to their alignment with three internal decision-making drivers: socio-emotional wealth, intergenerational cooperation, and heterogeneous governance. Results reveal a consistent trend of investments in energy-efficient technologies, process optimisation, and renewable energy adoption. These efforts led to quantifiable reductions in emission intensity, with CO2 intensity decreasing by 8.8 % and energy use per falling below OECD benchmarks (1.66 MWh/t). In parallel, production capacities increased by approximately 15 %, demonstrating that growth and environmental performance can be aligned. The findings demonstrate that long-term-oriented family firms are aligning growth with sustainability goals. This research contributes to sustainable industrial development literature by evidencing that environmental responsibility and production expansion can be pursued simultaneously.

Open Access: Yes

DOI: 10.3303/CET25121002

Optimizing Sustainability in Bridge Projects: A Framework Integrating Risk Analysis and BIM with LCSA According to ISO Standards

Rana Ahmad Maya Dema Munef Ahmad László Gáspár

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-01-01

Volume: 15

Issue: 1

Page Range: Unknown

Description:

Building bridges sustainably is essential for advancing infrastructure development and ensuring long-term environmental, social, and economic viability. This study presents a framework that integrates risk management strategies and Building Information Modeling (BIM) with Life Cycle Sustainability Assessment (LCSA) standards to enhance bridge project sustainability. Through a targeted survey, the study evaluates risks across bridge lifecycle phases, identifying the main processes that significantly impact sustainability. Using the Pareto Principle, the framework prioritizes these processes and associated risks, guiding the creation of targeted improvement guidelines aligned with ISO 9001:2015, BIM, and LCSA standards, which support high quality and efficiency. The results reveal that 38 of 55 identified risks account for 80% of the lifecycle impact, and they include the majority of those derived from international standards, underscoring their significance in sustainability efforts. Additionally, 36 of 47 main processes are subject to 80% of the impact from these vital risks, highlighting phases like Construction and Supervision as priority areas for intervention. By linking specific risks to each process within these phases, the study outlines essential guidelines and strategic measures, ensuring a focused approach to sustainable bridge development that aligns with international standards and maximizes lifecycle sustainability outcomes.

Open Access: Yes

DOI: 10.3390/app15010383

Application of FPGA Devices in Network Security: A Survey

Sándor Répás Abdulmunem A. Abdulsamad

Publication Name: Electronics Switzerland

Publication Date: 2025-10-01

Volume: 14

Issue: 19

Page Range: Unknown

Description:

Field-Programmable Gate Arrays (FPGAs) are increasingly shaping the future of network security, thanks to their flexibility, parallel processing capabilities, and energy efficiency. In this survey, we examine 50 peer-reviewed studies published between 2020 and 2025, selected from an initial pool of 210 articles based on relevance, hardware implementation, and the presence of empirical performance data. These studies encompass a broad range of topics, including cryptographic acceleration, intrusion detection and prevention systems (IDS/IPS), hardware firewalls, and emerging strategies that incorporate artificial intelligence (AI) and post-quantum cryptography (PQC). Our review focuses on five major application areas: cryptographic acceleration, intrusion detection and prevention systems (IDS/IPS), hardware firewalls, and emerging strategies involving artificial intelligence (AI) and post-quantum cryptography (PQC). We propose a structured taxonomy that organises the field by technical domain and challenge, and compare solutions in terms of scalability, resource usage, and real-world performance. Beyond summarising current advances, we explore ongoing limitations—such as hardware constraints, integration complexity, and the lack of standard benchmarking. We also outline future research directions, including low-power cryptographic designs, FPGA–AI collaboration for detecting zero-day attacks, and efficient PQC implementations. This survey aims to offer both a clear overview of recent progress and a valuable roadmap for researchers and engineers working toward secure, high-performance FPGA-based systems.

Open Access: Yes

DOI: 10.3390/electronics14193894

Two-dimensional compressible flow simulation on emulated digital CNN-UM

Sándor Kocsárdi Zoltán Nagy Árpád Csík Péter Szolgay

Publication Name: Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications

Publication Date: 2008-09-23

Volume: Unknown

Issue: Unknown

Page Range: 169-174

Description:

In the area of mechanical, aerospace, chemical and civil engineering the solution of partial differential equations (PDEs) has been one of the most important problems of mathematics for a long time. In this field, one of the most exciting areas is the simulation of fluid flow, which involves for example problems of air, sea and land vehicle motion. In this paper a CNNUM based solver of 2D inviscid, adiabatic, compressible fluids will be presented. The governing equations are solved by using firstand second-order numerical methods. Unfortunately the necessity of the coupled multi-layered computational structure with nonlinear, space-variant templates does not make it possible to utilize the huge computing power of the analog CNN-UM chips. To improve the performance of our solution emulated digital CNN-UM implemented on FPGA has been used. Properties of the implemented specialized architecture is examined in terms of area, speed and accuracy. ©2008 IEEE.

Open Access: Yes

DOI: 10.1109/CNNA.2008.4588672

Internet of Things research in supply chain management and logistics: A bibliometric analysis

Horst Treiblmaier Suhaiza Zailani Abderahman Rejeb Karim Rejeb Steve Simske

Publication Name: Internet of Things Netherlands

Publication Date: 2020-12-01

Volume: 12

Issue: Unknown

Page Range: Unknown

Description:

This study reviews Internet of Things (IoT) research in supply chain management (SCM) and logistics. A thorough review and bibliometric analysis were conducted to analytically and objectively unearth the knowledge development in IoT research within the context of SCM and logistics. The analysis started with the selection of 807 journal articles published over a two-decade period. Then, the articles were analyzed according to bibliometric parameters such as year of publication, sources, authors, and institutions. A keyword co-occurrence network was used to cluster the pertinent literature. Results of the review and bibliometric analysis reveal that IoT research has attracted significant attention from the SCM and logistics community. Three leading journals published widely on IoT and the fifteen most productive authors are identified. Based on the keyword co-occurrence clustering, the IoT literature in SCM and logistics is focalized on RFID technology, Industry 4.0 technologies, reverse logistics, and additionally covers various industries, such as the food, retailing, construction, and the pharmaceutical sector. The study provides researchers with a better understanding of IoT research in SCM and logistics and existing knowledge gaps for further research. Practitioners may benefit from the review to keep abreast of the current discussions and applications of IoT in diverse industrial sectors. To the best of the authors’ knowledge, the current review is one of the few attempts to investigate IoT research in SCM and logistics using a comprehensive set of articles published during the past two decades.

Open Access: Yes

DOI: 10.1016/j.iot.2020.100318

Statistical Analysis of the Performance of the State-of-the-Art Methods for Solving TSP Variants

Peter Foldesi Boldizsar Tuu-Szabo László T. Kóczy

Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

Publication Date: 2019-01-01

Volume: 11909 LNAI

Issue: Unknown

Page Range: 255-262

Description:

In this paper we analyze the efficiency of the state-of-the-art methods for solving two TSP variants, the Traveling Salesman Problem with Time Windows and one-commodity Pickup-and-Delivery Traveling Salesman Problem. Three models (polynomial, exponential, square-root exponential) were fitted to the mean run times of each method. The parameters of the curves, the R2-values and the RMSE values were compared.

Open Access: Yes

DOI: 10.1007/978-3-030-33709-4_23

Control-Oriented Model for Energy-Efficient Electric Vehicle

Tamás Luspay Zoltan Pusztai Ferenc Friedler

Publication Name: Proceedings of the International Symposium on Applied Machine Intelligence and Informatics Sami

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 299-304

Description:

In this paper, a control-oriented Linear Parameter Varying (LPV) model of an energy efficient electric vehicle is proposed, designed for model-based control to minimize energy consumption. The control inputs of the model include the torque reference and the actual cornering radius. The LPV model assesses the impact of cornering on driving resistances and, consequently, on energy consumption, which represents a novel approach. Due to the driving characteristics and the model nonlinear dynamics of the vehicle, a velocity-linearization based method was applied to obtain the parameter-dependent form. The obtained LPV model was then validated by using logged driving data, showing a root mean square error (RMSE) of 0.4682 m/s compared to the measured speed profile, thereby confirming the model's accuracy. The proposed LPV model can be utilized to develop energy-efficient driving strategies, making it highly relevant for the design and operation of energy-efficient vehicles.

Open Access: Yes

DOI: 10.1109/SAMI63904.2025.10883184

Family friendly concepts and tools in different-sized Hungarian organizations based on empirical study

Bencsik Andrea Tímea Juhász

Publication Name: Problems and Perspectives in Management

Publication Date: 2010-01-01

Volume: 8

Issue: 1

Page Range: 70-79

Description:

In today's world, more and more people have been thinking whether to put their family or their career to the foreground as there does not seem to exist any balance between the two aspects today. The reconciliation of work and family life can be seen today not only as an individual, but rather, as an organizational problem. After all, an employee who is tense, exhausted or tired because of his/her responsibilities at home will not be effective at work and vice versa. It is no wonder, then, that several Hungarian organizations are putting more and more emphasis on solving these occasional problems. In this article, an empirical survey is used to present the different tools used by different-sized Hungarian companies to help employees reconcile their work and their private lives. © Habil Andrea Bencsik, Tímea Juhász, 2010.

Open Access: Yes

DOI: DOI not available

Model Identification Based on Sparse or Non-Uniform Datasets using Tensor Product Function Manipulations

None Csapó

Publication Name: Gpmc 2020 2nd IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2020-11-19

Volume: Unknown

Issue: Unknown

Page Range: 49-52

Description:

This paper presents an approach for creating tensor product (TP) models based on sparse or non-uniform samples representing arbitrary datasets, and for manipulating the resulting TP structure to further identify the models behind the datasets. Given the usefulness of TP models in merging together closed algebraic formulae and tensor representations, it is argued that the proposed approach can be applied towards understanding the underlying complexity of a given dataset, while iteratively arriving at a model for the process that generated it. The key idea behind the approach is demonstrated using a dataset on sound pressure levels generated by different-sized airfoils in a wind tunnel.

Open Access: Yes

DOI: 10.1109/GPMC50267.2020.9333816