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Publications - 6278

Review of Vehicle Motion Planning and Control Techniques to Reproduce Human-like Curve-Driving Behavior †

Ernö Horváth Gergo Igneczi

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Among the many technological challenges of automated driving development, there is an increasing focus on the behavior of these systems. Behavior is usually associated with multiple layers of control. In this paper, we focus on motion planning and control, and how these layers can be tailored to produce different behavior. Our review aims to collect and judge the most used techniques in the field of path planning and control. It has been revealed that model predictive planning and control provides high flexibility, with the cost of high computational capacity. There are simpler algorithms, such as pure-pursuit and Stanley controllers, however, these have very few parameters, therefore, the number of possible behavior patterns is limited.

Open Access: Yes

DOI: 10.3390/engproc2024079020

Capability Building on Green and Renewable Energy- Related Financial Literacy in México

Elsa Patricia Orozco-Quijano Csongor Czipf None Csongor Czipf José G. Vargas- Hernandez

Publication Name: Empowering Development with Strategic Accounting Organizational Economic and Sustainable Impacts

Publication Date: 2025-11-19

Volume: Unknown

Issue: Unknown

Page Range: 227-259

Description:

Transition to green energy systems requires not only technological advancement but also cross- sector financial education among stakeholders at all levels of society. This study presents a comprehensive framework for green energy financial literacy program design considering México's unique socioeconomic context, cultural environment, and regional variations. It is estimated that implementation of such programs would increase adoption of renewable energy by 35- 40% over five years, creating about 150,000 new green economy jobs. The research contributes to the existing literature in sustainable finance education and provides actionable policy suggestions for policymakers, schools, and financial service providers in México and other emerging economies pursuing energy transition go.

Open Access: Yes

DOI: 10.4018/979-8-3373-5976-2.ch008

The impact of neurolinguistic programming on anxiety, self-confidence, self-esteem, and performance in non-elite finswimmers

Róbert Járai Safa Saadani Róbert Járai Szilvia Boros Attila Szabo

Publication Name: Complementary Therapies in Medicine

Publication Date: 2025-10-01

Volume: 93

Issue: Unknown

Page Range: Unknown

Description:

Background: Few studies have addressed mental health in finswimmers. Objective: This study examines the effect of NLP used as mental training on the finswimmers’ anxiety, self-confidence, self-esteem, and swimming records. Methods: The NLP intervention lasted two months. The study involved thirty young finswimmers (mean age M = 15.53, SD = 1.024), divided equally into two groups: the experimental and the control group. We carried out a pre- and post-test research design and conducted a follow-up test. We used two questionnaires, the French version of the CSAI-2R and the French version of the PSPP, along with semi-structured interviews for all three tests. Results: In the post-intervention test, the experimental group significantly decreased their cognitive anxiety (β = −3.47, p < .001) and somatic anxiety (β = −2.20, p = .001). Significantly increased their self-confidence (β = 2.07, p < .001), their global self-esteem (β = 1.93, p = .002), and their physical self-worth (β = 2.13, p = .004). The same parameters, except for the global self-esteem, also recorded significant change in the follow-up test, p < .005. Time effect did not show significance in the body attractiveness, physical strength, physical conditioning, and sport competence. Furthermore, outcomes showed notable between-subject variability in the mental skills, suggesting substantial variability in baseline parameter levels between individuals. Consequently, the finswimmers enhanced their swimming records. Conclusions: NLP showed a powerful impact in optimizing finswimmers’ mental health and, accordingly, their athletic performance. Besides, the technique showed relatively durable effectiveness. Coaches can reinforce the effect through ongoing NLP training.

Open Access: Yes

DOI: 10.1016/j.ctim.2025.103239

Érzelemfelismerés mozgáselemzéssel: az emberi és a gépi feldolgozás összehasonlítása

Kristof Schwartz Dora Egri Angéla Somogyi Barbara Naor

Publication Name: Orvosi Hetilap

Publication Date: 2025-11-16

Volume: 166

Issue: 46

Page Range: 1803-1809

Description:

Introduction: The relationship between human emotions and their bodily expressions has been receiving increasing attention in psychology and cognitive sciences. Emotions are not only expressed through verbal and facial cues but also through posture, gestures, and movement patterns. Motion analysis is one of the possible methods for identifying emotions; however, there is currently no clear consensus on which method is the most suitable for this purpose. Objective: The aim of this study is to systematically review motion analysis methods used for emotion recognition and to compare human-based and artificial intelligence-based approaches. Method: This study follows a systematic literature review using the PRISMA protocol. The initial search identified 7699 scientific articles from various databases. After applying inclusion and exclusion criteria, 16 relevant studies were selected for detailed analysis. The research examines different motion analysis techniques, their applicability, and their accuracy. Results: A total of 9 different motion analysis methods were identified in the literature, of which 4 utilized artificial intelligence for emotion recognition. These methods differ in terms of data processing techniques, applied technologies, and accuracy in detecting emotions. Discussion: Motion analysis is a promising tool for studying emotions; however, no universally applicable technique currently exists. Artificial intelligence plays an increasing role in emotion recognition, yet challenges remain in algorithm development and handling individual differences in emotional expression. Conclusion: Currently, there is no single, universally accepted motion analysis technique for emotion identification. Artificial intelligence can be a useful tool, but it has limitations when used alone. The most reliable approach appears to be the application of multidisciplinary methods, which combine human observation, classical motion analysis, and machine learning techniques. Orv Hetil. 2025; 166(46): 1803–1809.

Open Access: Yes

DOI: 10.1556/650.2025.33365

Review of best practices for global cogeneration policy: Benchmarking and recommendations for Malaysia

Sharifah Rafidah Wan Alwi Jeng Shiun Lim Zhi Xin Tay Zainuddin Abdul Manan Petar Sabev Varbanov

Publication Name: Energy

Publication Date: 2024-11-30

Volume: 310

Issue: Unknown

Page Range: Unknown

Description:

Despite the Malaysian government's efforts to promote cogeneration technology, it constitutes a mere 4.2 % of the country's total electricity generation. To address this issue, this review article aims to identify and benchmark global best practices for bolstering cogeneration implementation in Malaysia. While previous studies in this domain have centered on examining government policies within the specific regions, this paper underscores the imperative for an updated and comprehensive literature review to systematically collect and categorise best practices from around the world. This work examines the adoption of cogeneration energy systems within nations characterised by a substantial presence in their energy composition, simultaneously exploring the roles of regulatory frameworks in promoting their uptake. The scope of the literature review includes statistical data, reports, and other relevant scholarly works on cogeneration policies. Based on the findings, the review paper concludes that well-crafted policies are instrumental in encouraging rapid technology advocacy. The legislative landscape pertaining to cogeneration implementation in Malaysia is scrutinised, followed by a comparative analysis against global best practices to identify opportunities for improvement. Three crucial elements emerge as paramount to expediting the adoption: (i) administrative recognition, (ii) financial initiatives, and (iii) regulatory improvements. Several recommendations for the Malaysian cogeneration roadmap are presented. Overall, this paper offers insights into the chronological evolution of cogeneration policy development and provides actionable guidelines for developing effective policies in Malaysia and other South-East Asian countries.

Open Access: Yes

DOI: 10.1016/j.energy.2024.133217

Dynamic modelling of vapour compression cycles based on an all-mode switchable moving boundary model

Qiuwang Wang Ting Ma Nianqi Li Junming Hou Min Zeng Petar Sabev Varbanov

Publication Name: Applied Thermal Engineering

Publication Date: 2025-11-15

Volume: 279

Issue: Unknown

Page Range: Unknown

Description:

With the increasing demand for energy and growing environmental concerns, research on the performance and dynamic control strategies of chillers is vital for energy conservation and emission reduction. This work presents a seventh-order nonlinear moving boundary model with an all-mode switchable scheme for evaporators and condensers of vapour compression cycles. The proposed model, encompassing six modes, introduces a robust switching scheme that supports adjacent-mode and cross-mode transitions. Key advancements include a refined void fraction derivative model, addressing prior simplifications, and heat transfer coefficient modelling for louvred tube-fin and microchannel heat exchangers, extending applicability beyond round-tube designs. A dynamic simulation of a chiller system, validated against integral calculations, demonstrated high accuracy with simulation errors below 0.9 % and mass and energy variations of 0.15 % and 0.27 % over 24 h. A refrigerant charge model identified 0.02995 kg as optimal for maximising COP and cooling capacity under varying conditions. Steady-state and dynamic analyses showed that increased compressor speed enhances cooling performance by boosting flow rates and temperature differentials, while air velocity improves condenser efficiency and system COP. The dynamic response exhibited rapid pressure fluctuations with slower temperature changes due to external variations or heat exchanger efficiency. These findings underline the model's reliability and practical relevance.

Open Access: Yes

DOI: 10.1016/j.applthermaleng.2025.127639

The Impact of Rebalancing Strategies on ETF Portfolio Performance

Gergő Thalmeiner László Pataki Attila Bányai Tatay Tibor

Publication Name: Journal of Risk and Financial Management

Publication Date: 2024-12-01

Volume: 17

Issue: 12

Page Range: Unknown

Description:

This research explores the efficacy of rebalancing strategies in a diversified portfolio constructed exclusively with exchange-traded funds (ETFs). We selected five ETF types: short-term U.S. Treasury bonds, U.S. equities, global commodities, U.S. real estate investment trusts (REITs), and a multi-strategy hedge fund. Using a 10-year historical period, we applied a unique simulation model to generate random portfolios with varying asset weights and rebalancing tolerance bands, assessing the impact of rebalancing premiums on portfolio performance. Our study reveals a significant positive correlation (r = 0.6492, p < 0.001) between rebalancing-weighted returns and the Sharpe ratio, indicating that effective rebalancing enhances risk-adjusted returns. Support vector regression (SVR) analysis shows that rebalancing premiums have diverse effects. Specifically, equities and commodities benefit from rebalancing with improved risk-adjusted returns, while bonds and REITs demonstrate a negative relationship, suggesting that rebalancing might be less effective or even detrimental for these assets. Our findings also indicate that negative portfolio rebalancing returns combined with positive rebalancing-weighted returns yield the highest average Sharpe ratio of 0.4328, highlighting a distinct and reciprocal relationship between rebalancing effects at the asset and portfolio levels. This research highlights that while rebalancing can enhance portfolio performance, its effectiveness varies by asset class and market conditions.

Open Access: Yes

DOI: 10.3390/jrfm17120533

An Iterative Method for the Design of Carbon-Fiber Reinforced Polymer Wheel Rims

Dániel Feszty Martin Kaszab Dániel Bársony

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-11-01

Volume: 15

Issue: 21

Page Range: Unknown

Description:

This paper presents the design process of a composite wheel rim for a Formula Student race car. First, the design requirements for composite rims are outlined, which are driven to ensure safe operation as well as compliance with race regulations. Next, a novel methodology for the iterative design of composite wheel rims is proposed, and its steps are individually presented. The load cases were determined using data from lap time simulations and from practical experience from the operation of previous race cars. Material cards for the simulations were created by measuring the characteristics of the prepreg composites. The geometry of the rims was created by prioritizing the optimum contact with the tires. After creating the rim geometry, the composite material cards, and the simulation’s pre-processing, the layup iteration process began. In this manual iterative process, FEM simulations were run and their results were evaluated. The desired component properties were reached after 11 layup iterations. The final result is a weight reduction of 35% compared to the aluminum rims and 15% compared to the previous multi-piece CFRP rims, without a compromise in operational safety. The main novelty of the paper is the description of the iterative layup selection logic and process in detail, as well as demonstrating this on a concrete use case.

Open Access: Yes

DOI: 10.3390/app152111434

Investigating the technology of Short Period of Incubation During Storage (SPIDES) to mitigate damage caused by mechanical impact

T. Torma Katalin Kovácsné Gaal

Publication Name: Bio Web of Conferences

Publication Date: 2024-08-23

Volume: 125

Issue: Unknown

Page Range: Unknown

Description:

Transporting hatching eggs on plastic setter trays is common due to the reduction in packaging materials compared to paper trays, favouring sustainability. However, the plastic setter trays convey mechanical effects more strongly, negatively impacting eggshell integrity and blastoderm viability. On the other hand, Short Period of Incubation During Storage (SPIDES) proven to increase the liveability of the blastoderm, if applied at the right time. This experiment investigated the mitigating effects of SPIDES during modelled egg transport conditions on vibration machine. Data showed that moderate mechanical effects, simulated by a vibrating modelling machine, resulted in better hatchability of live embryos compared to setups where SPIDES was also applied.

Open Access: Yes

DOI: 10.1051/bioconf/202412502005