Search in Publications

Found 6383 publications

Linking digital platform design to circular supply chains: Evidence from knowledge sharing and collaboration mechanisms

Koltai Judit Petra Varun Chotia Shivani Agarwal Dezhen Li Rsha Alghafes

Publication Name: Technology in Society

Publication Date: 2026-06-01

Volume: 86

Issue: Unknown

Page Range: Unknown

Description:

Digital platforms are increasingly central to circular economy transitions, yet it remains unclear how platform design translates into measurable circular outcomes. This study addresses this gap by developing a socio-technical framework that explains how digital platform information transparency and interoperability enable circular value creation. Drawing on socio-technical systems theory, platform governance, and the dynamic capabilities perspective, the study conceptualizes platform design features as layered affordances that operate through governance and knowledge-based mechanisms. Using survey data from platform-enabled supply chain actors and analysing the model via PLS-SEM, the findings reveal that transparency and interoperability significantly enhance sustainability governance mechanisms, while transparency strengthens knowledge sharing intensity and interoperability supports collaborative decision-making. Sustainability governance mechanisms, in turn, drive both circular business model implementation and circular supply chain performance, whereas knowledge sharing intensity primarily supports business model transformation. Notably, collaborative decision-making does not directly improve circular supply chain performance, suggesting that collaboration without governance alignment remains insufficient. By unpacking the indirect pathways through which platform design shapes circular outcomes, the study advances platform governance and circular supply chain literature. It offers actionable insights for managers and policymakers seeking to design digital ecosystems that move beyond symbolic digitalization toward measurable circular performance and systemic value creation.

Open Access: Yes

DOI: 10.1016/j.techsoc.2026.103325

Classifying the Complexity of Competency in Elementary School based on Supervised Learners

Tri Arief Sardjono I. Ketut Eddy Purnama Umi Laili Yuhana Eko Mulyanto Yuniarno Mauridhi Hery Purnomo László T. Kóczy

Publication Name: 2018 International Conference on Computer Engineering Network and Intelligent Multimedia Cenim 2018 Proceeding

Publication Date: 2018-07-02

Volume: Unknown

Issue: Unknown

Page Range: 280-284

Description:

Complexity of competency (CoC) expresses the difficulty level of a competency. The CoC is one of the important parameters for determining the minimum passing level of competency in an assessment system. In Indonesia, the value of CoC is defined by experts based on conditions of subject, students and teachers in each school. The definition process is determined subjectively, where different experts may evaluate CoC in different ways. This is a problem of data classification that requires an automated tool that copes with the amount of data and produces uniform results. To apply an intelligent classifier is essential to solve the issue. This study aims to find the best method for classifying the complexity of competency in Elementary School. Four supervised learning techniques, namely, Naïve Bayes, Multilayer Perceptron, Sequential Minimal Optimization, and RIPPER, were implemented to analyze the dataset. Based on an experiment with 203 data, we found that the Multilayer Perceptron achieved the best performance in the sense of Mean Absolute Error, Root Mean Squared Error, and Receiver Operating Characteristic value. At the same time SMO is better than all other methods in precision, recall, and F-Measure.

Open Access: Yes

DOI: 10.1109/CENIM.2018.8710883

Laboratory tests on properties of innovative natural thermal insulation material

David Bozsaky Rebeka Ábrahám-Horváth

Publication Name: Pollack Periodica

Publication Date: 2023-07-11

Volume: 18

Issue: 2

Page Range: 125-130

Description:

Nowadays, there is an increasing demand on environmentally friendly materials, so the environmentally conscious architecture and the use of environmentally friendly materials have also become preferred. It is becoming increasingly important to turn from artificial materials to products made from renewable raw materials. The straw quilt, which is considered to be a new, innovative product on the Hungarian construction market, can provide an alternative for this need. The aim of this research was to investigate the material properties and possible uses of straw quilt thermal insulation. Laboratory tests were performed before the product was placed on the market. The results have shown that it has several advantageous properties that can make it competitive in the market of thermal insulation materials.

Open Access: Yes

DOI: 10.1556/606.2022.00735

Desktop VR and the Use of Supplementary Visual Information

Borbála Berki

Publication Name: 9th IEEE International Conference on Cognitive Infocommunications Coginfocom 2018 Proceedings

Publication Date: 2018-07-02

Volume: Unknown

Issue: Unknown

Page Range: 333-336

Description:

A 3D desktop virtual reality could provide an overview of program windows; thus users can see supplementary information. The aim of this study was to compare the use of this extra information in desktop VR and in a classic 2D browser. To test this, a between-subject design was realized with 53 participants (VR group: 26; browser group: 27). The MaxWhere VR environment was used as desktop VR and the Google Chrome as browser. The participants had to complete a task, while they could see their performance visually. At the final questionnaire, they had to estimate their performance and indicate their basis for this estimation. There was a significant difference in the estimation accuracy between the two groups, for those who indicated the supplementary visual information as their main source of estimation. Those who completed the task in desktop VR could estimate their performance more accurately, so they remembered better the supplementary visual information.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2018.8639925

Production process modeling and planning wih simulation method, mounting process optimisation

János Jósvai

Publication Name: International Workshop on Modeling and Applied Simulation Mas 2009 Held at the International Mediterranean and Latin American Modeling Multiconference I3m 2009

Publication Date: 2009-01-01

Volume: Unknown

Issue: Unknown

Page Range: 240-245

Description:

The paper focuses on the establishment of the production program using simulation technology in a structure, where several products and high amount of variants per product are produced. The topic of the paper addresses the discrete event simulation technology which is used to model the material flow and the manufacturing processes in the production area. This paper would like to show and describe the modelling steps of a complex production system with a lot of products and three different line parts, which are connected with buffers.

Open Access: Yes

DOI: DOI not available

Optimal parameter extraction of fuel cells based on interval branch-and-bound optimization algorithm

Raphael Chenouard Ragab A. El-Sehiemy

Publication Name: Energy Reports

Publication Date: 2026-06-01

Volume: 15

Issue: Unknown

Page Range: Unknown

Description:

Fuel cells play an important role in reducing environmental impacts to produce cleaner electricity. Numerical models are used to simulate their performance and build efficient observers in real use. The accuracy of these models is a major concern, as they can be parameterized by several values. Most of the previous works study the estimation of these parameters using various metaheuristics. While these methods are stochastic and do not provide any proof of optimality, the current paper introduces a global optimization method to accurately bound the optimal root mean square error between the parameterized model and some experimental data. The proposed algorithm is based on a deterministic Interval Branch-and-Bound optimization (IBBO) framework. Interval arithmetic ensures set-based computations to safely bound the objective function value. Four types of fuel cells, with their experimental data, are used to demonstrate the efficiency of the proposed methods. IBBO results are compared with some competing optimization methods used in the literature. They show a better accuracy for the computed feasible solutions (upper bounds) and a guaranteed value of the best possible solutions (lower bounds). This last information is not possible to obtain with metaheuristic algorithms. Compared to other Branch-and-Bound algorithms, IBBO proposes a new mix of mechanisms (e.g. advanced constraint propagation, specific search heuristic and feasible point finding method). Due to the deterministic nature of IBBO, results can be repeated. Its convergence analysis is detailed on four fuel cells from which a real test system based on Scribner technology is used to demonstrate the accuracy and robustness of IBBO on several usage scenarios.

Open Access: Yes

DOI: 10.1016/j.egyr.2025.108932

Possible Applications of Quantum Computing, Especially in Vehicle Technology: A Review Article

Dániel Feszty I. Lakatos Ferenc Ignácz Ferenc Ignácz

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2022-01-01

Volume: 50

Issue: 3

Page Range: 245-251

Description:

Given the current trend in the development of quantum computing, it can be expected that it will revolutionize many areas of science, including vehicle technology. In this review, we present the current research results of quantum computing technology and its possible application potential in the field of vehicle technology and structural simulation. In addition, we provide an overview of the current challenges, difficulties, and future of quantum computing.

Open Access: Yes

DOI: 10.3311/PPTR.16547

Evaluating the Impact of Aggregation Operators on Fuzzy Signatures for Robot Path Planning

Áron Ballagi Csaba Hajdu Ahmet Mehmet Karadeniz László T. Kóczy

Publication Name: Sensors

Publication Date: 2025-12-01

Volume: 25

Issue: 23

Page Range: Unknown

Description:

This study investigates the impact of different aggregation operators (commonly referred to as fuzzy operators) on the application of fuzzy signatures. Fuzzy signatures are specialized multidimensional data structures that symbolically represent data. As a use case, the study focuses on robot environment representation and path planning, presenting the results obtained by applying various aggregation operators including (Formula presented.), (Formula presented.), (Formula presented.)   (Formula presented.) and (Formula presented.)   (Formula presented.) on the normalized values obtained from the robot sensors. The comparison highlights their effects on the computational load and path lengths of the path planning task. The findings reveal that the most efficient aggregation operator, in terms of computational load and the path length, is the (Formula presented.)   (Formula presented.) aggregation operator. Specifically, the (Formula presented.)   (Formula presented.) consistently yielded the shortest paths (as low as 22 nodes) and the lowest execution times (down to 0.0913 s), demonstrating superior efficiency compared to the (Formula presented.) operator, which resulted in path lengths up to 34 nodes and execution times reaching 0.1923 s. This represents an improvement of up to 35.3% reduction in path length and 52.5% reduction in execution time when comparing the (Formula presented.)   (Formula presented.) to the (Formula presented.) operator based on observed extreme values. Furthermore, this work provides the first empirical comparison of fuzzy aggregation operators specifically for fuzzy signature-based mobile robot path planning.

Open Access: Yes

DOI: 10.3390/s25237342

The role of employer's liability insurance in the field of health injuries to employees in Hungarian labour law

Máté Trenyisán

Publication Name: Rechtskultur

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 633-647

Description:

The employer’s liability insurance has a dual purpose: compensation for health injuries suffered by the employee, and exemption of the employer from payment obligations due to his liability. At the same time, many people misunderstand the actual role of the legal institution and attribute to it a function that it does not actually have. The research aims to present the rules and practices of employer’s liability insurance in Hungary and to place them in the system in comparison to the rules of employer’s liability for compensating occupational health injuries.

Open Access: Yes

DOI: DOI not available