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Publications - 6525

A new state reduction approach for fuzzy cognitive map with case studies for waste management systems

Miklós F. Hatwagner Péter Földesi Adrienn Buruzs Laszlo T. Koczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2015-01-01

Volume: 331

Issue: Unknown

Page Range: 119-127

Description:

The authors have investigated the sustainability of Integrated Waste Management Systems (IWMS). These systems were modeled by Fuzzy Cognitive Maps (FCM), which are known as adequate fuzzy-neural network type models for multi-component systems with a stable state. The FCM model was designed of thirty-three factors to describe the real world processes of IWMS in as much detailed and as much accurately as possible. Although, this detailed model meets the requirements of accuracy, the presentation and explanation of such a complex model is difficult due to its size.While there is a general consensus in the literature about a very much simplified model of IWMSs, detailed investigation lead to the assumption that a much more complex model with considerably more factors (components) would more adequately simulate the rather complex real life behavior of the IWMS.As the starting point we used the thirty-three component model based on the consensus of a workshop of experts coming from all areas of the IWMS (operation, regulation, management, etc.) and the set goal was to find the most accurate real model that could be obtained by analyzing and properly reducing this – very likely too much detailed, or atomized – model.In this paper, a new state reduction approach with three different metrics is presented. The practical aspects of the results gained by these methods are evaluated.

Open Access: Yes

DOI: 10.1007/978-3-319-13153-5_12

Analysis of RFId application through an automotive supplier's production processes

Petra Döbrössy Dorottya Mánik Lajos Tóth

Publication Name: Isciii 07 3rd International Symposium on Computational Intelligence and Intelligent Informatics Proceedings

Publication Date: 2007-09-25

Volume: Unknown

Issue: Unknown

Page Range: 177-181

Description:

The Department of Logistics and Forwarding at Széchenyi István University in Gyor, Hungary started a project in an automotive industry supplier company. The purpose of the project is to grow the efficiency of the production process. In order to achieve the target we should reorganized the IT system. During the research we had to take the special production circumstances and the already exist ad hock hformation system into consideration. The article adumbrates the course of the project shortly, the faults of the system, the own-developed new information system and represents how the human failures could be eliminated though RFId application. © 2007 IEEE.

Open Access: Yes

DOI: 10.1109/ISCIII.2007.367385

Legal Framework and Data Storage Background of Online Collected Data for Predictive Maintenance and Repair Purposes in the Automotive Sector in the European Union

Istvan Lakatos Jozsef Nagy Roland Kelemen Gergely Karácsony

Publication Name: IEEE Access

Publication Date: 2025-01-01

Volume: 13

Issue: Unknown

Page Range: 157986-158000

Description:

This research begins with a simple but essential question: In predictive vehicle maintenance, where should raw data from a car be stored? Some argue that it makes sense to keep it within the vehicle, managed directly by its control units. Others prefer sending it to a backend system for evaluation by larger models. We found that this decision cannot be made based solely on technical reasoning. The legal conditions surrounding personal data, cybersecurity, product responsibility, and AI-based systems in the European Union carry equal weight in shaping feasibility. These regulations not only impose constraints but also actively influence the design and application of such technologies in real-world scenarios. The findings suggest that legal barriers frequently limit implementation more than current technical capabilities. Addressing these constraints early in the design process is crucial, as they define not only what types of data processing are permitted but also how predictive maintenance services can be delivered to users. To support responsible development, this study proposes a legal-technical framework tailored to the European regulatory landscape. It aligns predictive maintenance systems with key European Union regulations, including the GDPR, Cybersecurity Act, Cyber Resilience Act, and AI Act.

Open Access: Yes

DOI: 10.1109/ACCESS.2025.3594772

Advancing Lubrication Modeling: A Preliminary Study of Finite Element Solutions for Cavitation-Aware Reynolds Equation †

Balázs Pere Martin Lénárt

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

In the modern automotive industry, one of the most challenging tasks is minimizing energy losses caused by friction. Despite its significance, only a limited number of numerical simulation tools are available for effectively addressing lubrication-related problems. The accurate modeling of lubrication phenomena requires solving a specialized form of the Navier–Stokes equations, which accounts for cavitation effects within a thin fluid film. To address this, a finite element software is currently under development to solve the Reynolds equation while incorporating cavitation effect. This advanced tool enables the precise simulation of how the microgeometry of contacting surfaces influences the lubrication characteristics of the fluid film. By optimizing these surface features, the research aims not only to reduce energy dissipation but also to ensure the long-term durability of mechanical components. The findings obtained thus far demonstrate promising improvements in lubrication efficiency and structural longevity. These results, along with the methodological advancements, will be presented in detail at the upcoming conference.

Open Access: Yes

DOI: 10.3390/engproc2025113002

The structure of the univoque set in the big case

Gábor Kallós

Publication Name: Publicationes Mathematicae Debrecen

Publication Date: 2001-01-01

Volume: 59

Issue: 3-4

Page Range: 471-489

Description:

Let β > 1, Θ = 1/β, D = {0, 1, . . . , [β]}. In this paper we continue the investigation of the numbers which have only one expansion in the form ∑n=1∞ εnΘn with ε ∈ DN. We present a method for the determination of the Hausdorff dimension of the set of these numbers in the so-called big case, illustrated with interesting examples.

Open Access: Yes

DOI: 10.5486/pmd.2001.2581

A taxonomy of CogInfoCom trigger types in practical use cases

Ádam Csapó Péter Várlaki Peter Baranyi

Publication Name: 3rd IEEE International Conference on Cognitive Infocommunications Coginfocom 2012 Proceedings

Publication Date: 2012-12-01

Volume: Unknown

Issue: Unknown

Page Range: 21-25

Description:

An important challenge in CogInfoCom is how to design multi-sensory signals which are capable of communicating high-level information to users. Although there have been investigations on how to design groups of signals for this purpose (referred to as CogInfoCom channels), and how to map high-level concepts onto patterns of sensory signals across different modalities, one general question has still not been addressed: how should a system decide when to provide information to users in interactive CogInfoCom systems? This paper represents an attempt to bridge this gap, and to provide a taxonomy of CogInfoCom trigger types in order to help answer this question. © 2012 IEEE.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2012.6421990

Statistical Analysis of the Performance of the State-of-the-Art Methods for Solving TSP Variants

Péter Földesi B. Tüű-Szabó Laszlo T. Koczy

Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

Publication Date: 2019-01-01

Volume: 11909 LNAI

Issue: Unknown

Page Range: 255-262

Description:

In this paper we analyze the efficiency of the state-of-the-art methods for solving two TSP variants, the Traveling Salesman Problem with Time Windows and one-commodity Pickup-and-Delivery Traveling Salesman Problem. Three models (polynomial, exponential, square-root exponential) were fitted to the mean run times of each method. The parameters of the curves, the R2-values and the RMSE values were compared.

Open Access: Yes

DOI: 10.1007/978-3-030-33709-4_23

Retrofit heat exchanger network optimization via graph-theoretical approach: Pinch-bounded N-best solutions allows positional swapping

Ákos Orosz Bing Shen How Sin Yong Teng Ferenc Friedler Jeroen J. Jansen

Publication Name: Energy

Publication Date: 2023-11-15

Volume: 283

Issue: Unknown

Page Range: Unknown

Description:

Retrofit heat exchanger network (HEN) optimization is a fundamentally unique problem which requires the consideration of existing structures, compared to grassroots design problems. The optimization of retrofit HENs is particularly difficult due to the integration of both existing and newly acquired equipment. The re-routing of existing equipment can lead to various network topologies, increasing the complexity of considerations. In this work, we exploit the P-graph framework to solve retrofit HEN problems, guaranteeing to find the topology of optimal solutions within the constrained space of the HEN retrofit problem. The P-graph framework has additional advantages that allows topologically-efficient search space, simplifies additional unit placement, considers unit positional swapping (re-sequencing and re-piping within search constraints), considers stream splitting, and n-best solution visualization. The pinch minimum utility constraint also provides a bound for the maximum number of modifications in the HEN, significantly reducing search space. The proposed P-graph-based approach is demonstrated using a real refinery case study to show its capability in obtaining the topology of the optimal HEN, highlighting the economic and energy benefits. Further extensions to other retrofit process integration problems (e.g. retrofit water network, hydrogen network etc.) will be enabled via the proposed P-graph approach.

Open Access: Yes

DOI: 10.1016/j.energy.2023.129029

Multibody Simulation of Helical Gear Noise and Vibration Behavior Using MSC ADAMS †

Ambrus Zelei Krisztian Horvath Krisztián Horváth Krisztián Horváth

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

The premium electric-vehicle market demands exceptionally quiet transmissions because the absence of engine masking makes gearbox noise more perceptible. Virtual NVH (noise, vibration, and harshness) evaluation requires coupling elastic deformation, gear–tooth contact, and vibration transmission through bearings and housing within a single environment. This study develops an integrated workflow in MSC ADAMS for predicting the NVH behavior of a 23/81-tooth helical gear pair. Finite element-based flank stiffness is imported, and a nonlinear contact model is applied to flexible teeth. Baseline simulation at 50 Nm and 200 rpm yields a static transmission error (TE) of 7.5 µm and a dynamic peak-to-peak TE of 0.7 µm, with the fundamental mesh tone at 77 Hz. Increasing tip relief by +0.10 mm lowers RMS TE by 31% and the first mesh order by 3.1 dB while raising the flank pressure from 1.65 GPa to 1.88 GPa. The workflow efficiently supports early-stage gear-noise optimization prior to the development of physical prototypes.

Open Access: Yes

DOI: 10.3390/engproc2025113036