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Found 6289 publications

A New Similarity Measure of Fuzzy Signatures with a Case Study Based on the Statistical Evaluation of Questionnaires Comparing the Influential Factors of Hungarian and Lithuanian Employee Engagement

Dalia Susniene Marta Konczosne Szombathelyi Ojaras Purvinis László T. Kóczy

Publication Name: Mathematics

Publication Date: 2022-08-01

Volume: 10

Issue: 16

Page Range: Unknown

Description:

Similarity between two fuzzy values, sets, etc., may be defined in various ways. The authors here attempt introducing a general similarity measure based on the direct extension of the Boolean minimal form of equivalence operation. It is further extended to hierarchically structured multicomponent fuzzy signatures. Two versions of this measure, one based on the classic min–max operations and one based on the strictly monotonic algebraic norms, are proposed for practical application. A real example from management science is chosen, namely the comparison of employee attitudes in two different populations. This example has application possibilities in the evaluation and analysis of employee behaviour in companies as, due to the complex aspects in analysing multifaceted behavioural paradigms in organizational management, it is difficult for companies to make reliable decisions in creating processes for better social interactions between employees. In the paper, the authors go through the steps of building a model for exploring a set of different features, where a statistical pre-processing step enables the identification of the interdependency and thus the setup of the fuzzy signature structure suitable to describe the partially redundant answers given to a standard questionnaire and the comparison of them with help of the (pair of the) new similarity measures. As a side result in management science, by using an internationally applied standard questionnaire for exploring the factors of employee engagement and using a sample of data obtained from Hungarian and Lithuanian firms, it was found that responses in Hungary and Lithuania were partially different, and the employee attitude was thus in general different although in some questions an unambiguous similarity could be also discovered.

Open Access: Yes

DOI: 10.3390/math10162923

The 4th dimension of personalization in VR

Ildiko Horvath

Publication Name: 2022 1st IEEE International Conference on Cognitive Aspects of Virtual Reality Cvr 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 85-88

Description:

Nowadays, people find themselves under a high degree of information pressure, both in terms of the quantity and quality of information. This paper investigates how workflows can be extended in today's digital information deluge. In the scope of this study, we observe the behaviors and habits of generation Z and older (X, Y) generation students under information pressure. The study is based on empirical research, direct observations, and a questionnaire survey, focusing on information processing and time management. We conclude that preferred digital content and time management strategies differ across generations based on the test results. Furthermore, the speed of information processing negatively correlates with student age; and the frequency and quality of collaboration shows differences across user generations.

Open Access: Yes

DOI: 10.1109/CVR55417.2022.9967573

Changes in properties of thermal insulations under certain environmental effects

David Bozsaky Mózes Norbert Bedo

Publication Name: Pollack Periodica

Publication Date: 2025-03-26

Volume: 20

Issue: 1

Page Range: 80-86

Description:

Saving energy and reducing greenhouse gas emissions is a priority for the construction sector. Heating of buildings requires the burning of fossil fuels, which can be significantly reduced by insulating the building envelope. Nowadays, the thermal insulation of buildings is essential. There are several important, well-known data about most thermal insulation materials, but there is only negligible information about the change of their properties under installation conditions or if they are already exposed to additional stresses due to structural failures and damages. This study aimed to examine the changes in properties of three common thermal insulation materials when installed in a flat roof or facade and exposed to excess moisture due to the damage of waterproofing or façade and/or when exposed to direct strong sunlight.

Open Access: Yes

DOI: 10.1556/606.2024.01039

The Effect of Forklift Type, Pallet Design, Entry Speed, and Top Load on the Horizontal Shock Impacts Exerted during the Interactions between Pallet and Forklift

Laszlo Horvath Péter Böröcz Jorge Masis

Publication Name: Applied Sciences Switzerland

Publication Date: 2022-07-01

Volume: 12

Issue: 14

Page Range: Unknown

Description:

Forklift handling of palletized loads produces shock impacts that cause significant damage, affecting the durability and life cycle of pallets and unit loads. Laboratory testing processes using an incline impact tester have been developed to assess the resistance of pallets and unit loads to shock impact damage. A key element of the pallet durability test using the incline impact tester is the intensity of the impact. However, there is a lack of information on the intensity of the shock impacts during forklift handling. The objective of this research was to investigate the effects of forklift type, pallet design, entry speed, and top load on the horizontal shock responses measured during the interactions between pallets and forklifts. Two data loggers, SAVER 3X90 and 3D15, were used to measure the horizontal shock impacts experienced during the same event on both the pallet and the forklift. The results showed that the average peak acceleration of the forklift was 2.98 G; the same event resulted in a 4.4 times greater peak acceleration in the pallet. The average duration of these impacts was 10–12 ms. Pallet design and entry speed had the greatest effect on the response measured for the forklift, while the pallet was most heavily influenced by entry speed and forklift type. The paper mainly focused on measuring the severity of the impacts and did not attempt to correlate the measured impacts to damage experienced by unit loads.

Open Access: Yes

DOI: 10.3390/app12147035

How to design a dynamically-feasible heat exchanger network? Insights gained from experience

Hao Yeh Lee Ákos Orosz Bing Shen How Zong Yang Kong Tiffany Ang Ferenc Friedler

Publication Name: Energy

Publication Date: 2026-02-01

Volume: 344

Issue: Unknown

Page Range: Unknown

Description:

This paper aims to share the challenges encountered by the authors while exploring the significance of controllability in the early stage of heat exchanger network (HEN) design, particularly through the use of P-HENS – a graph theoretic-based HEN synthesis tool for multi-solution HEN synthesis. Presently, no existing studies have leveraged P-HENS-derived networks to reveal insight on how network topology affects its dynamic performance. This work began with a 5-stream problem as a base case, where P-HENS was used to generate four feasible HENs that meets the minimum energy requirement (MER). A preliminary screening narrowed these options to two configurations, which were then simulated in Aspen Plus. Bypass are added to the two selected HENs for further control studies in Aspen Plus Dynamics. The results indicated that both HENs could handle only some disturbances and return the outlet temperature to its nominal value, with some cases showing marginal deviations. Then, different bypass values (e.g., 0.1 and 0.5) were explored to analyze its impact on control performance but it reveals that even with a larger bypass value of 0.5, the HEN struggled to adequately adjust during disturbances. The findings from this work showed that the controllability of the HEN is collectively influenced by the bypass value, the temperature difference of the “direct inlet and outlet of the heat exchanger”, and the temperature difference of the “inlet streams of both hot and cold streams placed in the heat exchanger”. A generic workflow that would help future researchers avoid similar pitfalls has been presented.

Open Access: Yes

DOI: 10.1016/j.energy.2026.139903

Non-parametric and parametric t-norms applied in fuzzy rule extraction

László Gál Rita Lovassy László T. Kóczy

Publication Name: Iccc 2013 IEEE 9th International Conference on Computational Cybernetics Proceedings

Publication Date: 2013-11-07

Volume: Unknown

Issue: Unknown

Page Range: 299-302

Description:

In this paper we propose non-parametric t-norms such as algebraic, trigonometric and Hamacher product, furthermore parametric Hamacher t-norm in Mamdani type inference systems. Various models with trapezoidal shaped fuzzy membership function are applied in order to improve the efficiency of bacterial memetic algorithm in automatic fuzzy rule identification. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/ICCCyb.2013.6617607

Growth and bioactivity of two chlorophyte (Chlorella and Scenedesmus) strains co-cultured outdoors in two different thin-layer units using municipal wastewater as a nutrient source

Francisco Gabriel Acién Fernández João Varela Gergely Lakatos Zoltán Molnár Tomáš Grivalský Mariana Carneiro João Artur Câmara Manoel Joaquín Moreno Daniyar Malikuly Kozhan Ana Toribio Karolína Ranglová Francisca Suárez Estrella Vince Ördög Jiří Masojídek Ana Otero F. Xavier Malcata

Publication Name: Algal Research

Publication Date: 2021-06-01

Volume: 56

Issue: Unknown

Page Range: Unknown

Description:

The application of microalgae in wastewater treatment has recently been at the forefront of interest due to the increasing concern about environmental protection and economic sustainability. This work aimed to study two chlorophyte species, Chlorella vulgaris and Scenedesmus acutus, co-cultured outdoors in centrate of municipal wastewater as a nutrient source. Two different thin-layer units were used in these trials — thin-layer cascade (TLC) and thin-layer raceway pond (TL-RWP), suitable for this purpose due to their high biomass productivity and better culture transparency when using muddy wastewater. The units were operated in batch, and subsequently in semi-continuous growth regime — and monitored in terms of photosynthetic performance, growth, nutrient removal rate, and bioactivity. The results showed that the co-cultures grew well in the centrate, achieving the maximum biomass densities of 1.3 and 2.1 g DW L−1 in TLC and TL-RWP, respectively, by the end of the batch regime and 1.9 and 2.0 g DW L−1 by the end of the semi-continuous regime. Although TL-RWP grown cultures showed faster growth, the TLC-one revealed better nutrient removal efficiencies batch wise than the culture grown in TL-RWP — removing up to 48% of total nitrogen and 43% of total phosphorus. Conversely, the latter was more efficient under the semi-continuous regime (54% and 42% consumption of total nitrogen and phosphorus, respectively). In the harvested biomass, an important antimicrobial activity (specifically antifungal) was detected. In this sense, the in-vitro growth of the oomycete Pythium ultimum was inhibited by up to 45% with regard to the control. However, no biostimulating activity was observed. The present findings confirm the possibility of using these two species for biomass production in municipal wastewater centrate using highly productive thin-layer systems. This technology can be a valuable contribution to circular economy since the produced biomass can be re-applied for agricultural purposes.

Open Access: Yes

DOI: 10.1016/j.algal.2021.102299

Benchmarking AI chatbots: assessing their accuracy in identifying hijacked medical journals

Lóránt Dávid Mehdi Dadkhah Mihály Hegedűs Mihály Hegedå±s

Publication Name: Diagnosis

Publication Date: 2026-02-01

Volume: 13

Issue: 1

Page Range: 82-91

Description:

Objectives: The challenges posed by questionable journals to academia are very real, and being able to detect hijacked journals would be valuable to the research community. Using an artificial intelligence (AI) chatbot may be a promising approach to early detection. The purpose of this research is to analyze and benchmark the performance of different AI chatbots in identifying hijacked medical journals. Methods: This study utilized a dataset comprising 21 previously identified hijacked journals and 10 newly detected hijacked journals, alongside their respective legitimate versions. ChatGPT, Gemini, Copilot, DeepSeek, Qwen, Perplexity, and Claude were selected for benchmarking. Three question types were developed to assess AI chatbots’ performance in providing information about hijacked journals, identifying hijacked websites, and verifying legitimate ones. Results: The results show that current AI chatbots can provide general information about hijacked journals, but cannot reliably identify either real or hijacked journal titles. While Copilot performed better than others, it was not error-free. Conclusions: Current AI chatbots are not yet reliable for detecting hijacked journals and may inadvertently promote them.

Open Access: Yes

DOI: 10.1515/dx-2025-0043

Economic Costs of Work Stoppages Caused by the COVID-19 Outbreak

Lianbiao Cui Shimei Weng Madalina Brutu Xiao Li Umer Shahzad

Publication Name: Journal of the Knowledge Economy

Publication Date: 2024-09-01

Volume: 15

Issue: 3

Page Range: 12026-12052

Description:

This study explores the economic costs of work stoppages resulting from the COVID-19 pandemic. It utilizes a global multiregional dynamic computable general equilibrium model and finds that the higher the proportion of labor compensation in the initial factor distribution, the greater the economic damage. Macroeconomic loss was characterized by a monotonically increasing function, with developed countries potentially incurring greater losses than developing countries. The COVID-19 pandemic had significant negative impacts on the global labor market, with a decline in labor productivity; the cumulative global economic loss in 2020–2022 surpassed $10.4 trillion, of which the EU, the USA, and China contributed 30.44%, 18.74%, and 15.44%, respectively. Countries’ anti-epidemic responses showed great heterogeneity, with South Korea and China’s actions showing the dual advantages of protecting the economy and lives, whereas the EU failed to protect either lives or the economy. This article argues that it was necessary to adopt strict quarantine measures to control the spread of the virus in the early stages of the epidemic, but with a drop in the case fatality rate and the introduction of vaccinations, strict control measures had to be removed to protect the economy.

Open Access: Yes

DOI: 10.1007/s13132-023-01541-0