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Publications - 6289

Computational Assessment of Energy Supply Sustainability Using Picture Fuzzy Choquet Integral Decision Support System

Dragan Pamucar Abrar Hussain Hafiz Aftab Anwar Kifayat Ullah Vladimir Simic

Publication Name: Computers Materials and Continua

Publication Date: 2025-01-01

Volume: 85

Issue: 1

Page Range: 1311-1337

Description:

For any country, the availability of electricity is crucial to the development of the national economy and society. As a result, decision-makers and policy-makers can improve the sustainability and security of the energy supply by implementing a variety of actions by using the evaluation of these factors as an early warning system. This research aims to provide a multi-criterion decision-making (MCDM) method for assessing the sustainability and security of the electrical supply. The weights of criteria, which indicate their relative relevance in the assessment of the sustainability and security of the energy supply, the MCDM method allow users to express their opinions. To overcome the impact of uncertainty and vagueness of expert opinion, we explore the notion of picture fuzzy theory, which is a more efficient and dominant mathematical model. Recently, the theory of Aczel-Alsina operations has attained a lot of attraction and has an extensive capability to acquire smooth approximated results during the aggregation process. However, Choquet integral operators are more flexible and are used to express correlation among different attributes. This article diagnoses an innovative theory of picture fuzzy set to derive robust mathematical methodologies of picture fuzzy Choquet Integral Aczel-Alsina aggregation operators. To prove the intensity and validity of invented approaches, some dominant properties and special cases are also discussed. An intelligent decision algorithm for the MCDM problem is designed to resolve complicated real-life applications under multiple conflicting criteria. Additionally, we discussed a numerical example to investigate a suitable electric transformer under consideration of different beneficial key criteria. A comparative study is established to capture the superiority and effectiveness of pioneered mathematical approaches with existing methodologies.

Open Access: Yes

DOI: 10.32604/cmc.2025.066569

Investigation of the influencing soil parameters on the air entry values in soil-water characteristic curve of compacted heaving soils

Elizabeth Theron Armand Augustin Fondjo Richard P. Ray

Publication Name: Civil Engineering and Architecture

Publication Date: 2021-01-01

Volume: 9

Issue: 1

Page Range: 91-114

Description:

The air-entry value (AEV) is a fundamental parameter of the soil-water characteristic curve (SWCC). AEV is the minimum matric suction value required for entry of air into soil voids. The primary objective of this research work is to assess the impact of geotechnical index properties, swelling properties, mineral composition on AEV of compacted heaving soils, and discuss how they affect AEV. Soil properties were investigated through lab tests such as grain size distribution (GSD), specific gravity, Atterberg limits, linear shrinkage, free swell index, free swell ratio, X-ray diffraction, compaction test, and soil suction measurement. SWRC Fit program was used to perform non-linear fitting of the SWCC based on models VG, DB, FX, LN, and BL. Surface plot of data was used to characterize the impact of soil properties on AEV. It was observed that AEV is ranging from 10 kPa to 20.20 kPa, models DB and BL gives the best fitting SWCC. The percent of smectite mineral exhibits a significant impact on AEV. Swelling properties such as free swell index and free swell ratio influence the AEV with a respective determination coefficient of 85.72%, 88.68%. The plasticity index, linear shrinkage, specific gravity, and dry unit weight impact the AEV with a respective determination coefficient of 95%, 95.45%, 90.43%, 94.29%. The fine-grained content, clay fraction, void ratio, and water content influence the AEV with a respective determination coefficient of 97.95%, 84.89%, 80%, 94.31%. The finer the soil, the higher the AEV. The activity of clay and percent of illite mineral exhibit a marginal effect on the AEV.

Open Access: Yes

DOI: 10.13189/cea.2021.090108

Cross-country analysis of supply chain management drivers for small and medium-sized enterprises

Santi Setyaningsih Katalin Czakó Tihana Vasic Peter Kelle

Publication Name: Polish Journal of Management Studies

Publication Date: 2021-01-01

Volume: 23

Issue: 1

Page Range: 352-369

Description:

Supply Chain Management (SCM) drivers are the key factors in successful SCM strategy implementation. SMEs with limited resources need to focus on the top drivers to improve performance and competitiveness. The paper explores which driver factors have the largest importance according to the opinion of the top managers of SMEs. Two developing countries were compared which have different supply chain environments mainly due to their geographical structure. Information from top managers of 105 Hungarian and 124 Indonesian SMEs was collected using an online questionnaire. The data was analysed using statistical methods. This study is the first to rank SCM drivers in a quantitative study comparing SMEs in different supply chain environments. The findings reveal that from 22 driver factors both countries perceive the same top 10, however in a different ranking order. Improvement of customer satisfaction and information dissemination are the top two drivers, which are highly correlated.

Open Access: Yes

DOI: 10.17512/pjms.2021.23.1.22

Mathematics self-efficacy, learning approaches, academic performance in the light of the number of failed attempts

Nárcisz Kulcsár

Publication Name: Sefi 48th Annual Conference Engaging Engineering Education Proceedings

Publication Date: 2020-01-01

Volume: Unknown

Issue: Unknown

Page Range: 286-296

Description:

Mathematics is a language for expressing physical, chemical and engineering laws nevertheless engineering students often perform poorly in mathematics. Studying can be influenced by several different social, cognitive and non-cognitive factors which all can have an impact on students' academic performance. Many researches revealed positive effects of mathematics self-efficacy on mathematics achievement. Similar results can be found among learning approaches, students using deep-approach achieve better results. It is legitimate to question whether there is a relationship between self-efficacy and learning approaches. My research focused on the interrelationship between two aspects of mathematics self-efficacy (mastery experience, physiological state), learning approaches (deep strategy, deep motive, surface strategy, surface motive) and achievement. This research also examined the variance of self-efficacy, learning approaches and achievement in relation to the number of failed attempts. 306 undergraduate engineering students at a Hungarian university took part in the study. To examine the above mentioned question the study employed quantitative approach and data were collected using two questionnaires during the semester. The self-efficacy scale was adapted from a variety of sources and was modified to local conditions. To measure learning approaches the Revised Two Factor Study Process Questionnaire was rephrased to the domain of mathematics and to the local conditons. The data were analysed quantitatively using descriptive statistics, bivariate correlation, partial correlation, and regression analysis. The results show that self-efficacy, learning approaches and academic achievement were strongly correlated with each other. Students who have higher level self-efficacy use deep strategy in learning and have deep motives, while students classified as low in self-efficacy adopted surface learning approaches. A new variable was introduced which has not been investigated yet in other researches: the number of failed attempts. A significant correlation between the mentioned variables and the number of attempts was identified. My results demonstrate the importance of such kind of learning environment which fosters self-efficacy and deep learning approach.

Open Access: Yes

DOI: DOI not available

Corrosion Avoidance in the Metal Gate Industry Considering Sustainability

Boglárka Eisingerné Balassa Pál Eisinger

Publication Name: Chemical Engineering Transactions

Publication Date: 2021-01-01

Volume: 88

Issue: Unknown

Page Range: 1075-1080

Description:

Coating not cleaned up leads to massive emission worldwide, causing cancer and asthma. Coating gates to avoid corrosion needs to take place in nature. As a result, vast amounts of coating get sprayed out into nature, causing a significant sustainability issue. The industrial coating sector does not use protective equipment to save nature. The study aims to present a case study to minimise environmental pollution without increasing the cost of corrosion protection. The global cost related to corrosion has a significant burden on economies around the world – it costs approximately $2.5x1012 USD/y. It can be as high as 3.4 % of the GDP (2013). This cost has a significant impact on the efficiency of industries such as the automotive industry, industrial coatings and corrosion protection. Global demand for polyurethane coating materials will increase by 280 kt in 2022 (predictably). The volume of the solvent-based industrial coating consumption will grow significantly worldwide in the y 2021, predictably 1,400 Mt. In more detail, half of the coating is wasted, it drips onto the ground, gets into the air, so it causes pollution everywhere. The VOC (Volatile Organic Compounds) of the industrial coating pollutes the air, the living organism, and it can cause cancer, asthma and many other yet unknown health problems. The aim of this study is not only to introduce (based on data analysis) but to call attention to the environmental load originating from the industrial coating. In this study, the sustainability aspects of corrosion have been examined – especially in respect of the treatment of metal structures.

Open Access: Yes

DOI: 10.3303/CET2188179

Exploratory analysis of zero waste theory to examine consumer perceptions of sustainability: A covariance-based structural equation modeling (CB-SEM)

Judit Petra Koltai Tamás Vinkóczi Éva Heimné Rácz

Publication Name: Cleaner Waste Systems

Publication Date: 2024-08-01

Volume: 8

Issue: Unknown

Page Range: Unknown

Description:

Introduction: The analysis of corporate and consumer sustainability practices is currently the focus of several scientific disciplines due to their environmental impact and diversity. Objective: This research aims to create a hierarchy of consumer perceptions of zero waste thinking that can guide government decisions regarding university communities' sustainability efforts. To achieve the objectives of this study, Hungarian university citizens (students, faculty, staff) as potential zero waste consumers in Győr were involved in a purposive sampling approach. Methods: This study adopted the Covariance-Based Structural Equation Modeling (CB-SEM) methodology to prove the hypotheses related to the 7Rs regarding Zero Waste perceptions of university citizens. The rethink element of the hierarchy was defined as the default condition for the 7 R application and therefore remained at the top of the hierarchy as an endogenous variable. Results: The study concluded that it is possible to adapt a business 7 R framework for consumer use, but only 5Rs can be applied. The analysis was conducted at a 90% confidence level, under which condition the independent variables together explain 87% of the variance of the rethink factor. The results show that the four constructs, namely rot (β =0.12, ρ<0.1), reduce (β =0.21, ρ<0.1), recycle (β =0.26, ρ<0.05), and reuse (β =0.43, ρ<0.05) significantly affect rethinking. Based on these regression weights, a hierarchy of importance can be established. In line with the original 7 R business concept, rethink is at the top of the hierarchy, followed by the other elements. Conclusions: The results suggest that the zero waste attitudes of university citizens are currently limited to the 5Rs, which should require government leadership to strengthen these factors or a more consistent presence and support for the 2Rs that are missing from the established model. Governments can use the results of this research in their sustainability-related decisions.

Open Access: Yes

DOI: 10.1016/j.clwas.2024.100146

The Construction and Application of the Economy-Electricity-Emissions Input-Output (IO-E3) Table for Hungary

Krisztián Koppány

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 733-738

Description:

This paper presents the steps and methods of producing the IO-E3 Economy-Electricity-Emissions input-output table for Hungary, which contains 28 industries, 8 sub-industries of electric power plants, and 5 final demand categories. Simulations performed with the model show that the ongoing 120 % expansion of nuclear capacity can result in a 55.2 %, 35.1 %, and 30.1 % increase in electricity production, value-added, and greenhouse gas emissions if the structure of final demand and technology are not changed. Smart use of the predicted 17.48 TWh of electricity surplus, however, must precisely aim these changes to best serve Hungary's sustainability transition through harnessing technological developments and by changing economic structures.

Open Access: Yes

DOI: 10.3303/CET24114123

Investigation of 3D SPECT reconstruction with multi-energy photon emitters 1

B. Benyo Gábor Hesz K. Kovacs Ákos Szlávecz

Publication Name: IFAC Papersonline

Publication Date: 2015-09-01

Volume: 28

Issue: 20

Page Range: 30-35

Description:

Parallel projection based Single Emission Computed Tomography is a widely used nuclear imaging technique. Non-homogeneous attenuation medium and the distance dependent spacial resolution (DDSR) of the parallel imaging cause serious artefacts during image reconstruction. Both effects are dependent on the energy of gamma photons used for imaging. In this paper an efficient parallel reconstruction algorithm is introduced that is executed on the Graphics Processing Unit. The aim of the presented study was to investigate the possibilities of reconstruction techniques when multi-energy photon emitters are used. An analytical 3D projector with attenuation and detector response modelling was used to generate projection sets for Gallium-67 isotope studies. Data were reconstructed from one photopeak only using the corresponding attenuation map. The projection data sets were added together and reconstructed using average attenuation and DDSR compensation values as well as simulating every photopeak individually. The third combined reconstruction technique was using every projection set as separate measurement. In this study we showed that all three strategies result in similar image quality, however the average attenuation correction method is computationally less demanding.

Open Access: Yes

DOI: 10.1016/j.ifacol.2015.10.110

Fuzzy pseudo-thesaurus based clustering of a folkloristic corpus

Tamás D. Gedeon László T. Kóczy Sándor Szaszkó

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2005-09-01

Volume: Unknown

Issue: Unknown

Page Range: 126-131

Description:

Automatic thesaurus extraction is essential for modern information retrieval. We develop a method for fuzzy pseudo-thesaurus based on word pair co-occurrence in documents. In this study it is presented, that considering the Word Frequency Degree counted on the whole corpus makes the obtained pseudo-thesaurus usable. Such parameters were found with which most of the obtained pairs of words were validated to be related by human expert. Among the extracted pairs and groups of words the relationship is often looser than synonymy, but they identify the frequently repeated topics of the corpus. We suggest the use of groups of closely related words for the definition of different topics and based on this clustering of the documents were performed.1 © 2005 IEEE.

Open Access: Yes

DOI: DOI not available