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Publications - 6374

Outlines of a Graph-Tensor Based Adaptive Associative Search Model for Internet of Digital Reality Applications

Adam Csapo Tarek Setti

Publication Name: 2022 IEEE 1st International Conference on Internet of Digital Reality Iod 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 49-54

Description:

Internet of Digital Reality (IoD) is a technological vision that promises to radically transform existing digital ecosystems in a way that enables users to access all the content and capabilities - whether physical or digital - relevant to a goal-driven purpose in a highly integrated single environment. In this paper, we focus on a specific challenge that we expect will be crucial in making advances in this field: namely, the challenge of developing an effective search method that is personalized, adaptive and associative. As a possible solution to this challenge, we propose a graph-tensor based information model that incorporates the history of search keywords and inferred associations between them across potentially multiple search dimensions. We provide a brief discussion on why we assume this model to have advantageous properties and provide a short use-case example to motivate further research.

Open Access: Yes

DOI: 10.1109/IoD55468.2022.9987234

Complex-Geometry 3D Computational Fluid Dynamics with Automatic Load Balancing

József Bakosi László Környei Marc Charest Jacob Waltz Aditya Pandare Akos Kovacs Mátyás Constans Paula Rutherford Ákos Kovács Zoltán Horváth

Publication Name: Fluids

Publication Date: 2023-05-01

Volume: 8

Issue: 5

Page Range: Unknown

Description:

We present an open-source code, Xyst, intended for the simulation of complex-geometry 3D compressible flows. The software implementation facilitates the effective use of the largest distributed-memory machines, combining data-, and task-parallelism on top of the Charm++ runtime system. Charm++’s execution model is asynchronous by default, allowing arbitrary overlap of computation and communication. Built-in automatic load balancing enables redistribution of arbitrarily heterogeneous computational load based on real-time CPU load measurement at negligible cost. The runtime system also features automatic checkpointing, fault tolerance, resilience against hardware failure, and supports power- and energy-aware computation. We verify and validate the numerical method and demonstrate the benefits of automatic load balancing for irregular workloads.

Open Access: Yes

DOI: 10.3390/fluids8050147

Multi-level biharmonic and bi-Helmholtz interpolation with application to the boundary element method

Csaba Gáspár

Publication Name: Engineering Analysis with Boundary Elements

Publication Date: 2000-01-01

Volume: 24

Issue: 7-8

Page Range: 559-573

Description:

The scattered data interpolation problem is investigated. Instead of the direct use of radial basis functions, the interpolation function is sought as a solution of a higher order partial differential equation supplied with the interpolation equations as special boundary conditions. In this paper the methods based on the biharmonic and the bi-Helmholtz equations are analyzed. The interpolation problem is reformulated in variational forms. Existence and uniqueness theorems are proved in Sobolev spaces. The approximation properties of this interpolation are also investigated. A representation theorem is proved which shows the similarity to the method of radial basis functions based on the fundamental solution of the applied partial differential operator. To solve the appearing biharmonic/bi-Helmholtz equation, a multi-level method is presented which is based on a quadtree/octtree cell system generated by the interpolation points. It is shown that the overall computational cost of the presented method is much less than that of the traditional method of radial basis functions. The method makes it possible to avoid the solution of large, fully populated and often ill-conditioned systems of linear equations. Finally, some applications to solving partial differential equations are outlined. The biharmonic/bi-Helmholtz interpolation technique immediately defines a grid-free method, but can be combined with the boundary element method as well. A possible application in the dual reciprocity method is also presented.

Open Access: Yes

DOI: 10.1016/S0955-7997(00)00036-9

Global Sustainability Reporting in the Automotive Industry via the eXtensible Business Reporting Language

Árpád Tóth Alex Suta

Publication Name: Chemical Engineering Transactions

Publication Date: 2021-01-01

Volume: 88

Issue: Unknown

Page Range: 1087-1092

Description:

Sustainability measurement has become one of the most important topics for automotive manufacturers. The financial reporting practice has been faced with an increased digitization and standardization process, which was enabled by the either voluntary or required implementation of the eXtensible Business Reporting Language (XBRL) platform. The obligatory adaption appeared in European legislation, which covers both financial, and non-financial information. In the current study, we have made a comparison of the most significant European and American automakers' sustainability reports data content to utilize the sustainability XBRL taxonomy adaptation. Using literature, the development of disclosure requirements was reviewed, following which the adaptation to global sustainability standards (GRI, SASB) in reporting was examined from a qualitative point of view, using a text mining methodology. It has been concluded that by the biggest automotive manufacturers the conditions are currently met to a limited extent, but the most significant obstacle is the lack of linking sustainability information to financial impacts. If the financial regulations require OEMs to adapt, and potentially disclose negative information (such as pollution data, penalties) may negatively affect investor perception. Based on the review XBRL is capable to become a global standard, however, reported contents should be carefully audited and linked to objectively verifiable financial data to provide relevant information to investors, decision-makers.

Open Access: Yes

DOI: 10.3303/CET2188181

Induced OWA Operators in Neutrosophic Environment Applied in the Economic Assessment of Southeast Asian Countries

Jose M. Merigó Dragan Pamucar Muhammad Saqlain

Publication Name: Operations Research Forum

Publication Date: 2026-06-01

Volume: 7

Issue: 2

Page Range: Unknown

Description:

The ordered weighted averaging (OWA) operator is a fundamental tool in decision-making processes, particularly under conditions of uncertainty, by aggregating inputs through a reordering mechanism based on predefined weights. Despite its utility, the classical OWA operator is limited in addressing complex decision scenarios characterized by uncertainty, indeterminacy, and inconsistency. This study introduces two innovative aggregation operators, the induced ordered weighted averaging operator under a neutrosophic environment (IOWAN) and its generalized form (GIOWAN), which integrate the ordering flexibility of induced OWA with the expressive power of neutrosophic sets. The proposed operators advance existing models by (i) enabling simultaneous aggregation of truth, indeterminacy, and falsity information, (ii) incorporating application-driven inducing functions for dynamic ordering, and (iii) offering a unified framework encompassing arithmetic, geometric, harmonic, quadratic, and extreme-case induced operators. We formally define the operators, establish their mathematical properties, and present several novel extensions, including interval-valued, bipolar, probabilistic, entropy-based, and time-dynamic neutrosophic versions. An illustrative case study of the economic assessment of Southeast Asian countries was performed using a methodology based on (GIOWAN) Operators and results show that rankings align with real-world economic data. Comparative analyses highlight its superior performance in modeling intricate decision dynamics. The proposed algorithms are effective in a group decision-making environment within uncertain domains, solving problems of uncertainty, complexity, and multidimensional information, including sustainable development, policy formulation, and healthcare decision analysis.

Open Access: Yes

DOI: 10.1007/s43069-026-00615-4

Vehicle Model for Driving Strategy Optimization of Energy Efficient Lightweight Vehicle

Péter Korös Zoltan Pusztai Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2021-01-01

Volume: 88

Issue: Unknown

Page Range: 385-390

Description:

The energy consumption and CO2 emission of urban vehicles are highly dependent on their operation. Vehicle models can be used for optimizing driving strategy for emission reduction. This paper proposes a novel vehicle model of a one-seat electric vehicle dedicated for Shell Eco-marathon (SEM), the most famous and largest race of energy efficient vehicles. The available vehicle dynamical formulas cannot be directly used to describe the characteristics of lightweight vehicles. In the current work, a novel grey-box vehicle model has been introduced, based on measurement scenarios. The whole model has been elaborated in MATLAB Simulink environment, where individual subassemblies were defined for driving resistance model, powertrain model, and the racetrack characteristics. The resistance force model manages the forces in straight line moving and also takes the effect of cornering into account. Based on test bench measurements the complete efficiency map of the drivetrain was created and implemented into the vehicle model. The presented vehicle model is suitable for driving strategy optimization. By optimizing this model, 7.1 % energy savings have been achieved compared to best human driven lap. Driving strategy optimization will be essential, especially for autonomous vehicles, expressing the importance of the presented results in the future.

Open Access: Yes

DOI: 10.3303/CET2188064

Internet of digital reality: Infrastructural background – Part II

Adam Csapo Tamás Budai Gyorgy Wersenyi Péter Baranyi

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2021-01-01

Volume: 18

Issue: 8

Page Range: 91-104

Description:

Internet of Digital Reality (IoD) is a concept that extends the Internet of Things (IoT) with the management, transmission and harmonization of digital realities. IoD covers aspects of connectivity, accessibility and usability with respect to different cognitive entities present in the digital world, via a confluence of technologies including virtual reality, artificial intelligence and 2D digital environments, in a way that recognizes human factors and cognitive aspects as key issues. Devices, interfaces, and interacting entities can be enabled through IoD to share digital realities and to thereby build a new level of reality, using intelligent connections mostly based on immersive virtual scenarios and multi-modal interactions in both public and private networks. In this paper, we look into the infrastructural requirements of and challenges behind the Internet of Digital Reality, which must be solved in order to deliver a high-quality user experience while keeping the increasing complexity of these networks at bay.

Open Access: Yes

DOI: 10.12700/APH.18.8.2021.8.5

New results on the bee pollination of quince (Cydonia oblonga Mill.)

P. Benedek T. Szabó J. Nyéki

Publication Name: Acta Horticulturae

Publication Date: 2001-01-01

Volume: 561

Issue: Unknown

Page Range: 243-248

Description:

The research was conducted on 6 cultivars over three consecutive years. Nectar production of quince was found to be small compared to other temperate zone fruit tree species, since quince flowers contained 1.07 - 0.06 mg of nectar on average. Sugar concentration ranged between 21-27 % on average in different years with a range between 9-47.5 %. There was a significant negative correlation between the amount of nectar and its sugar concentration, but no definite difference was established between the ne ctar production of quince cultivars. In spite of this, bee visitation was highly intense about 5.5 bee visits were counted on average at 50 open quince flowers in 10 minutes and about 9.7 flowers out of 50 were visited. This equals about 7 bee visits per flower per day in good weather. Some cultivars tended to be more and less visited by honeybees. Most honeybees tended to collect pollen (51.6 % in average for the 3 years) and usually fewer gathered only nectar (19.9 %), while the rest had a mixed foraging behaviour gathering both (28.5 %). There were slight differences in the foraging behaviour of honeybees on some cultivars, but these differences were not always consequent in consecutive years. Quince is highly sensitive to partial and/or complete limitation of the insect (bee) pollination period. Complete limitation of insect pollination resulted in no yield and partial limitation of the insect pollination period depressed the final set and yield by at least 60-70 % or more. Significant correlation was established between the intensity of honeybee visitation and the consequent yield of quince. As much as 4-5 or 8-10 honeybee visits are needed per day on one flower to achieve the required optimal fruit set that has been declared in the literature to be 20-25 % for quince.

Open Access: Yes

DOI: 10.17660/ActaHortic.2001.561.35

Doing more with less: the role of institutional quality in enhancing energy efficiency in Italy’s “hard-to-abate” sectors

Cristian Barra Pasquale Marcello Falcone Patrizio Giganti

Publication Name: Journal of Industrial and Business Economics

Publication Date: 2026-06-01

Volume: 53

Issue: 2

Page Range: 825-867

Description:

This paper investigates the role of institutional quality in enhancing energy efficiency within Italy’s “hard-to-abate” industrial sectors, which include cement and lime, glass and ceramics, metal, pulp and paper, and refineries. These sectors account for a significant share of global energy consumption and CO2 emissions and face unique challenges in decarbonization. Using a novel dataset from the EU Emissions Trading System (EU ETS), covering 329 Italian plants from 2013 to 2019, the study applies the Directional Distance Function (DDF) to measure energy efficiency and explores the impact of institutional quality on energy performance through Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) regression. The analysis highlights greater energy efficiency among multi-plant firms, firms in the pulp and paper sector, and firms located in Central Italy. Regression results further show that institutional quality has a significant positive effect on energy efficiency, especially in competitive markets, among multi-plant and non-innovative firms, in Northern regions, and in the glass and ceramics and metal sectors. This paper contributes to the literature by underscoring the importance of institutional quality in driving energy efficiency in energy-intensive sectors and offers policy implications for promoting industrial decarbonization.

Open Access: Yes

DOI: 10.1007/s40812-025-00387-8