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Publications - 6374

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

Márta Konczos 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

Environment Protection - Monument Preservation

András Veöreös

Publication Name: Epites Epiteszettudomany

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The preservation of existing buildings is desirable not only for the purpose of saving architectural values, but equally important is that it is an environmentally friendly-environmentally conscious activity as well, since by renovating existing houses less waste is generated, the environmental impact from transport decreases, the material and energy invested in the structures already built do not get lost and no additional energy is needed for demolition.

Open Access: Yes

DOI: 10.1556/096.2023.00081

Performance Degradation of Object Detection Neural Networks Under Natural Visual Contamination in Autonomous Driving

Janos Hollosi Dániel Csikor

Publication Name: Computers

Publication Date: 2026-04-01

Volume: 15

Issue: 4

Page Range: Unknown

Description:

The operation of driver assistance systems and autonomous vehicles requires a sensor system and a control algorithm. Sensors provide information to detect people, vehicles and objects in the vehicle’s environment; however, their performance can be degraded by adverse environmental conditions and contamination. This literature review identified factors that reduce sensor visibility, such as weather conditions and external contamination. In this study, the detection efficiency of state-of-the-art neural network-based object detectors was examined in a simulation environment using a synthetic dataset. A custom dataset comprising six urban and suburban traffic scenarios was created, including clean images and ten contaminated variants per scene with increasing mud coverage. The results show that contamination leads to a measurable reduction in detection performance across all models. Smaller variants are more sensitive to degradation, while medium-complexity models provide a favorable balance between robustness and computational cost. Increasing model size yields limited additional robustness, and performance differences between architectures highlight the importance of model design. Furthermore, the spatial distribution of contamination, particularly near the image center, has a significant impact on performance in addition to its overall extent.

Open Access: Yes

DOI: 10.3390/computers15040254

A Call for Consensus: A Narrative Review of GPS-Based External Training Load Monitoring in Male Youth Soccer Players

Ferenc Ihász Bence Kopper Gábor Schuth János Matlák Krisztián Havanecz Sándor Sáfár Gábor Géczi

Publication Name: Sports

Publication Date: 2026-04-01

Volume: 14

Issue: 4

Page Range: Unknown

Description:

Background: Global positioning system (GPS) technology is widely used to quantify external training load (ETL) in youth soccer. Despite its extensive application in training and match contexts, considerable heterogeneity is present in the selection, definition, and interpretation of GPS-derived variables, limiting comparability between studies and practical implementation by coaches. Objective: This narrative review aimed to summarize and critically evaluate the current literature on GPS-based ETL monitoring in youth soccer players, with a focus on commonly used variables, methodological considerations, and practical applications in training and match contexts. Methods: A narrative literature search was conducted using PubMed, SPORTDiscus, and Scopus databases. Peer-reviewed studies published in English between the years of 2012 and 2025 were included. Data were extracted on participant characteristics, GPS technology, monitored ETL variables, and contextual settings. Results: The 34 reviewed studies primarily reported total distance (TD; m), high-speed running distance (HSR; m), sprint distance (SD; m), distance per minute (m·min−1), peak speed (km·h−1), and acceleration- and deceleration-based (ACC, DEC; count) ETL variables. Substantial variability was observed in speed thresholds, acceleration definitions, and data processing methods. Positional roles, training formats (e.g., small-sided games), and seasonal phase influenced ETL demands, although methodological inconsistencies limited cross-study comparisons. Conclusion: GPS technology provides valuable insights into the ETL demands of youth soccer. The lack of standardized variable definitions and thresholds remains a major limitation. Greater methodological consistency and clearer reporting standards are required to enhance the practical usefulness of GPS monitoring for coaches in youth soccer.

Open Access: Yes

DOI: 10.3390/sports14040152

Optimized Eco-Driving with Real-Time Telemetry in a Lightweight Electric Vehicle

Zoltan Pusztai István Kecskeméti Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 877-882

Description:

In this paper, the application of an advanced telemetry system is introduced, which is used to monitor an electric, energy-efficient experimental urban vehicle. The system enables real-time observation of both the pilot's actions and vehicle parameters. The vehicle's pilot drives according to a predetermined driving strategy, optimized for minimizing energy consumption during vehicle operation. The telemetry system aims to provide real-time information about the pilot's driving and deviations from the predetermined strategy, offering additional opportunities for correction during operation. Additionally, it facilitates real-time observation of all vehicle and sensor data on the vehicle's CAN network. The paper discusses the determination of the driving strategy and presents its graphical representation for the pilot. A detailed description of the telemetry system's operation through wireless connection is provided in the paper. In terms of implementation, the driving strategy was formulated using MATLAB through optimization, while graphical display, data collection, and telemetry system development were implemented in the LabVIEW environment. The functionality of the created energy-efficient driving support framework was examined under real driving conditions. The application of the telemetry system and proposed hybrid optimization approach helped to further reduce the energy consumption by 8.54%.

Open Access: Yes

DOI: 10.3303/CET24114147

Energy in the backseat? Investigating decarbonization dialogue in supply chain tweets during and after COVID-19

Gagan Deep Sharma Tuhin Sengupta Umer Shahzad Amar Rao

Publication Name: Annals of Operations Research

Publication Date: 2026-04-01

Volume: 359

Issue: 1

Page Range: 581-613

Description:

While we move into the seventh year of the signing of Paris agreement, research scholars and supply chain firms have paid a lot of emphasis on environmental sustainability with the aim of achieving net zero targets by 2050. However, the global pandemic has somewhat disturbed the focus from environment to resilience due to severe economic implications of COVID-19. In this paper, we contribute to the very scant discussion on Twitter Analytics by analysing supply chain tweets with COVID-19 at the backdrop. Our approach involves analysing how decarbonization related discussions have evolved by capturing the tweets across three timelines: pre pandemic, pandemic and post pandemic. By integrating descriptive analytics, content analytics and machine learning algorithm in topic modelling, we extract textual intelligence related to emissions and pollution from leading firms involving supply chain management. We find that although decarbonization related discussions are at bare minimum in terms of the proportion of discussions within the supply chain context, the overall emotion of tweets indicate fear across all three timelines. Moreover, it was surprising to note that although pollution levels came down due to low economic activity during pandemic, we found more discussions during COVID in comparison to pre-COVID times. Pollution and waste caused by plastics, fuel consumption, reduction in greenhouse gas emission are some of the key topics that emerged during pandemic times. Our paper makes a modest contribution on the role of social media analytics within supply chain context around COVID-19.

Open Access: Yes

DOI: 10.1007/s10479-023-05806-4

Representation of loss aversion and impatience concerning time utility in supply chains

János Botzheim Peter Foldesi Edit Süle

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2011-12-01

Volume: 10 SIST

Issue: Unknown

Page Range: 273-282

Description:

The paper deals with the investigation of the critical time factor of supply chain. The literature review gives a background to understand and handle the reasons and consequences of the growing importance of time, and the phenomenon of time inconsistency. By using utility functions to represent the value of various delivery-times for the different participants in the supply chain, including the final customers, it is shown that the behaviour and willingness of payment of time-sensitive and non time-sensitive consumers are different for varying lead times. Longer lead times not only generate less utility but impatience influences the decision makers, that is the time elasticity is not constant but it is function of time. For optimization soft computing techniques (particle swarm optimization in this paper) can be efficiently applied. © 2011 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-642-22194-1_28

Modeling of a Biomass-Based Energy Production Case Study Using Flexible Inputs with the P-Graph Framework

András Éles István Heckl Heriberto Cabezas

Publication Name: Energies

Publication Date: 2024-02-01

Volume: 17

Issue: 3

Page Range: Unknown

Description:

In this work, a modeling technique utilizing the P-Graph framework was used for a case study involving biomass-based local energy production. In recent years, distributed energy systems gained attention. These systems aim to satisfy energy supply demands, support the local economy, decrease transportation needs and dependence on imports, and, in general, obtain a more sustainable energy production process. Designing such systems is a challenge, for which novel optimization approaches were developed to help decision making. Previous work used the P-Graph framework to optimize energy production in a small rural area, involving manure, intercrops, grass, and corn silage as inputs and fermenters. Biogas is produced in fermenters, and Combined Heat and Power (CHP) plants provide heat and electricity. A more recent result introduced the concept of operations with flexible inputs in the P-Graph framework. In this work, the concept of flexible inputs was applied to model fermenters in the original case study. A new implementation of the original decision problem was made both as a Mixed-Integer Linear Programming (MILP) model and as a purely P-Graph model by using the flexible input technique. Both approaches provided the same optimal solution, with a 31% larger profit than the fixed input model.

Open Access: Yes

DOI: 10.3390/en17030687

A novel unified approach to invariance conditions for a linear dynamical system

Yunfei Song Tamás Terlaky Zoltán Horváth

Publication Name: Applied Mathematics and Computation

Publication Date: 2017-04-01

Volume: 298

Issue: Unknown

Page Range: 351-367

Description:

In this paper, we propose a novel, simple, and unified approach to explore sufficient and necessary conditions, i.e., invariance conditions, under which four classic families of convex sets, namely, polyhedra, polyhedral cones, ellipsoids, and Lorenz cones, are invariant sets for a linear discrete or continuous dynamical system. For discrete dynamical systems, we use the Theorems of Alternatives, i.e., Farkas lemma and S-lemma, to obtain simple and general proofs to derive invariance conditions. This novel method establishes a solid connection between optimization theory and dynamical system. Also, using the S-lemma allows us to extend invariance conditions to any set represented by a quadratic inequality. Such sets include nonconvex and unbounded sets. For continuous dynamical systems, we use the forward or backward Euler method to obtain the corresponding discrete dynamical systems while preserves invariance. This enables us to develop a novel and elementary method to derive invariance conditions for continuous dynamical systems by using the ones for the corresponding discrete systems. Finally, some numerical examples are presented to illustrate these invariance conditions.

Open Access: Yes

DOI: 10.1016/j.amc.2016.10.007