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Publications - 6383

Case study of unscented state estimation for batch distillation processes

András Edelmayer Adriana Encinoza Moira Miranda

Publication Name: IEEE International Conference on Control and Automation Icca

Publication Date: 2011-12-01

Volume: Unknown

Issue: Unknown

Page Range: 919-924

Description:

In this paper a comparative study on the use of extended and unscented Kalman filters for state estimation in nonlinear systems is presented. This is done to reveal the differences, and congruencies, in filters' synthesis in view of real plant implementation on embedded platforms. One of the objectives is to validate the usual performance measures of the filters, meant by state estimation, experimentally. Design features, such as the complexity of implementation and the sensitivity of the state initialization process on uncertain covariance information at regular filters startup are evaluated in a variety of real plant scenarios. A pilot plant of batch distillation process has been used for experimentation. © 2011 IEEE.

Open Access: Yes

DOI: 10.1109/ICCA.2011.6137937

Indicators of sustainability in vocational education and training institutions

Márta Konczos Szombathelyi Hajnalka Hatos

Publication Name: International Journal of Innovative Research and Scientific Studies

Publication Date: 2025-01-01

Volume: 8

Issue: 3

Page Range: 1674-1679

Description:

The paper presents the indicators of sustainability in vocational education and training institutions (VET), which define the tasks of the institutions according to the VET 4.0 strategy and the European Union's objectives. The purpose of this paper is to present and analyze the role of VET in raising awareness of changing economic and social practices and habits that damage the environment in order to ensure the living conditions of present and future generations. The research was conducted among the institutions of a vocational training center, using management interviews, data collection, and document analysis as research methods for examining easily traceable indicators of education in terms of human, social, natural, and economic resources. The main findings show that vocational education and training institutions also play a key role in sustainability. In addition to their educational tasks, another important task is to increase their efficiency and effectiveness in the area of sustainability. The conclusion of the work is that these schools can achieve sustainable development through preventive actions. As a practical implication, the VET needs to be aware of their energy consumption, their choice of means of transport, and the avoidance and prevention of pollution. They have to implement sustainable operations and education for sustainability both inside and outside of school.

Open Access: Yes

DOI: 10.53894/ijirss.v8i3.6859

The rise and fall of the Balaton Sound: The festival’s life cycle and its effects on tourist inflow and seasonality of tourism

Mátyás Hinek Gergely Marton Róbert Kiss László Csóka Viktória Kundi Tamás Varga

Publication Name: Journal of Convention and Event Tourism

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This study, grounded in Butler’s Tourism Area Life Cycle model, investigates the life cycle of the Balaton Sound music festival, with specific emphasis on its developmental trajectory, peak period, and subsequent decline. The analysis provides a structured framework for examining the evolution of the festival across six distinct stages and assessing its regional impacts. The research employs a mixed-methods approach. The qualitative component explores the festival’s life cycle stages, its social impacts on the local community, community responses, and shifts in the festival’s public image. The quantitative analysis includes data on visitor numbers, guest nights, and changes in the Gini index during festival periods. Findings indicate that the festival reached its zenith in the mid-2010s, characterized by both high tourism significance and elevated social prestige. The decline, however, was primarily triggered by the COVID-19 pandemic, shifts in consumer preferences, and declining perceived value, all of which diminished the overall festival experience. The study concludes that although Balaton Sound played a crucial role in shaping summer tourism in the region for over a decade, recent economic, environmental, and social challenges led to its discontinuation and the restructuring of Zamárdi’s tourism economy. The results are utilizable for DMOs and other industry stakeholders.

Open Access: Yes

DOI: 10.1080/15470148.2026.2644984

Frequencies and resonances around L4 in the elliptic restricted three-body problem

Renáta Rajnai B. Érdi I. Nagy

Publication Name: Monthly Notices of the Royal Astronomical Society

Publication Date: 2014-01-01

Volume: 443

Issue: 3

Page Range: 1988-1998

Description:

More and more Trojan asteroids are discovered in our Solar system, suggesting that they are probably a common spinoff of planet formation and evolution. Till date we know thousands of Trojan followers of Jupiter, and Trojan asteroids and moons of other major planets have also been discovered. The large number of such celestial bodies can mean that Trojan companions to extrasolar planets may also be common. Trojan celestial bodies are examples for the Lagrangian triangular solutions of the three-body problem. In this paper, the stability of the Lagrangian point L4 is investigated in the elliptic restricted three-body problem by using Floquet's theory. Stable and unstable domains are determined in the parameter plane of the mass parameter and the eccentricity by computing the characteristic exponents. Frequencies of motion around L4 have been determined both in the stable and unstable domains, and fitting functions for the frequencies are derived depending on the mass parameter and the eccentricity. Resonances between the frequencies are studied in the whole parameter plane. It is shown that the 1:1 resonances are not restricted only to single curves but extend to the whole unstable domain. In the unstable domains, longer escape times of the test particle from the neighbourhood of L4 are related to certain resonances, but changing the parameters the same resonances may lead to faster escape.© 2014 The Authors.Published by Oxford University Press on behalf of the Royal Astronomical Society.

Open Access: Yes

DOI: 10.1093/mnras/stu1212

Designing assessment processes using the student involvement method by WTCAi system

Eniko Nagy Karl Eva Gyorgy Molnar

Publication Name: 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics Sami 2024 Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 237-241

Description:

The quality assurance of education and training is of paramount importance, and the monitoring, assessment and evaluation process is indispensable for this purpose. A key determinant of the effectiveness of education is assessment, which serves not only to measure performance but also to support the learning process. The process of assessment and evaluation must take into account the diverse needs and abilities of students. Differentiated assessment supports individual learning paths and personal development. Assessment must be objective and valid, but it can achieve its deeper developmental purpose when personalized. Our research aims to enhance pedagogical assessment efficiency by developing a machine learning-supported assessment system. The research focuses on developing STEM skills and analyzes children's questions to understand their interests and needs better. During the research, we observe the characteristics of questions posed by children and develop a machine learning algorithm that helps provide suggestions to educators for creating assessment questions. Based on the data, we identify children's areas of interest and the difficulty level of questions. According to the research results, children's questions can significantly differ from question sets prepared by educators, suggesting that children's diverse perspectives and interests should be given even greater consideration in teaching. The research also raises further directions for development. It aims to use machine learning to understand better the diverse ways of thinking and differences in expression among children, thereby making education and assessment more effective. This can contribute significantly to the efficiency and effectiveness of the teaching-learning process.

Open Access: Yes

DOI: 10.1109/SAMI60510.2024.10432808

Developed rapid and simple RP-HPLC method for simultaneous separation and quantification of bovine milk protein fractions and their genetic variants

G. Szafner Solveig Bukovics Judit Süle A. J. Kovács Székelyhidi Rita Katalin Szabó Henrietta Buzás

Publication Name: Analytical Biochemistry

Publication Date: 2022-12-01

Volume: 658

Issue: Unknown

Page Range: Unknown

Description:

The aim was to develop a reliable rapid reversed-phase high-performance liquid chromatography (RP-HPLC) method to simultaneously determine the main bovine milk protein fractions, including their genetic variants. Compared to the previous studies, our method is able to separate the main protein fractions within 20 min of total run time. The method validation consisted of testing repeatability, reproducibility linearity, repeatability, and accuracy. The procedure was developed using raw individual, bulk, and commercially available heat-treated cow milk samples. The RSD of peak areas ranged from 1.43 to 3.16% within analytical day and from 3.29 to 6.70% across analytical days. The method can be applied to investigate both raw and heat-treated milk samples.

Open Access: Yes

DOI: 10.1016/j.ab.2022.114939

Aerobic Capacity, Body Composition, and Ventilatory Thresholds in Youth Endurance Athletes: Physiological Characteristics of Hungarian Junior Triathletes

Ferenc Ihász István Barthalos László Suszter Árpád Petrov Ádám Balog Zoltán Alföldi

Publication Name: Applied Sciences Switzerland

Publication Date: 2026-05-01

Volume: 16

Issue: 9

Page Range: Unknown

Description:

Limited data are available regarding the physiological profile of youth triathletes. The aim of this study was to characterize the physiological and body composition profile of Hungarian youth triathletes and to examine the relationships between anthropometric characteristics and aerobic performance indicators. Forty-one youth triathletes (20 females and 21 males; age: 15.8 ± 1.7 years), members of the Hungarian national development squad, participated in the study. Anthropometric and body composition parameters were assessed using standardized procedures and multi-frequency bioelectrical impedance analysis. Aerobic performance was evaluated using a graded cardiopulmonary exercise test on a treadmill with breath-by-breath gas analysis. Male athletes demonstrated higher body height, body mass, fat-free mass, and skeletal muscle mass compared with females (p < 0.05). Cardiopulmonary exercise testing revealed high aerobic capacity, with mean VO2max values of 73.2 ± 5.4 mL·kg−1·min−1 in males and 63.1 ± 5.0 mL·kg−1·min−1 in females. The second ventilatory threshold occurred at approximately 82–86% of VO2max. Strong positive correlations were observed between anthropometric parameters and absolute oxygen uptake (mL·min−1), particularly for fat-free mass, skeletal muscle mass, and body surface area (r = 0.83–0.95). However, these relationships are influenced by body size and were weaker or inverse when relative oxygen uptake (mL·kg−1·min−1) was considered. Regression analyses further indicated that body composition variables, especially fat-free mass and skeletal muscle mass, were positively associated with aerobic performance, while body fat percentage was not a significant predictor when body size and sex were controlled. These findings are based on cross-sectional associations and should be interpreted as descriptive reference data for this population rather than predictive criteria. The results contribute to the characterization of physiological and anthropometric profiles in youth triathletes and may support future research and athlete monitoring.

Open Access: Yes

DOI: 10.3390/app16094449

Driving purchase intentions through visual storytelling: a study of social media platform reels sponsored advertising

Jeanne Poulose Vinod Sharma Sanjib Bhattacharjee Romi Sainy Yogesh Mahajan Monika Imreh-Toth

Publication Name: Cogent Business and Management

Publication Date: 2026-01-01

Volume: 13

Issue: 1

Page Range: Unknown

Description:

This study explores how social media platforms (for example, Instagram) and Reels-sponsored ads influence what makes consumers stop, watch and decide to buy. Using Consumer Engagement Theory (CET) as a lens, it looks at how people emotionally, cognitively and behaviourally respond to short-form video content. Four key factors were examined: engaging content, scenario-based experiences, user participation and perceived usefulness. Data from 393 active social media platform users in India’s National Capital Region revealed that all four elements positively shaped consumer attitudes, significantly influencing purchase intentions. Notably, relatable and emotionally engaging content had the most substantial impact. Attitude played a central role, bridging how consumers feel about a Reel and what they choose to do next. For marketers, the takeaway is clear: Reels that are visually appealing, useful and invite interaction are more likely to turn engagement into action. The study offers timely insights into how brands can connect meaningfully through short-form video.

Open Access: Yes

DOI: 10.1080/23311975.2026.2639685

A Schweizer–Sklar power Bonferroni aggregation operator under p,q-QOFS for vendor selection based on GRA-DEMATEL-MEREC

Shawei He Dragan Pamucar Sankar Kumar Roy Muhammet Deveci Sanjita Giri

Publication Name: Mathematics and Computers in Simulation

Publication Date: 2026-11-01

Volume: 249

Issue: Unknown

Page Range: 784-812

Description:

This study aims to support decision-making in vendor selection for water supply problem which is often complex and uncertain. Vendor selection involves multiple criteria, including technical capability, quality of proposals, financial strength, and risk management. Evaluating vendors in water supply problem is therefore a challenging task. To address this challenge, this research proposes a systematic framework for vendor assessment based on the judgements of technical experts, environmental scientists, local committees, project managers, and government authorities. Thereafter, we introduce a new integrated approach that synergizes power Bonferroni aggregation operators and Schweizer–Sklar operation with p,q-quasirung orthopair fuzzy information and grey relational analysis, providing a robust framework to tackle real-life challenges. Moreover, the proposed model integrates the MEREC (MEthod based on the Removal Effects of Criteria) and DEMATEL (DEcision-MAking Trial and Evaluation Laboratory) methods to derive more precise and reliable weights for both attributes and experts. This robust framework enhances multi-attribute decision-making by enabling decision-making to make well-informed choices and providing structured, accurate solutions that minimize uncertainty and enhance decision quality. What is more, using a numerical example based on the process of considering problem, we construct a novel decision-making method. Finally, we include sensitivity analysis and a comparison between the existing approaches and the proposed method in this study.

Open Access: Yes

DOI: 10.1016/j.matcom.2026.06.002