Search Everything

Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of Kiss János.

Publications - 6515

Three step bacterial memetic algorithm

László Gál Rita Lovassy Laszlo T. Koczy

Publication Name: Ines 2010 14th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2010-07-26

Volume: Unknown

Issue: Unknown

Page Range: 31-36

Description:

In order to study the function approximation performance of Fuzzy Neural Networks built up from fuzzy J-K flip-flop neurons a new learning algorithm, the Three Step Bacterial Memetic Algorithm is proposed. Hybrid evolutionary methods that combine genetic type algorithms with "classic" local search have been applied to perform efficient global search. This novel version of the Bacterial Memetic Algorithm with Modified Operator Execution Order (BMAM) is a recently developed technique of hybrid type. This particular merger of evolutionary and gradient based algorithms combining both global and local search consists of bacterial mutation and, as a second step, the Levenberg-Marquardt (LM) method applied for each clone. This LM step saves in this way some potential solutions that could be lost otherwise after each mutation step. As a third step the LM algorithm is recalled for a few iterations for each individual of the population towards reaching the local optimum. In our novel algorithm various kinds of fast algorithm with less complexity, like Quasi-Newton algorithm, Conjugate Gradient algorithm, and two Backpropagation training algorithms: Gradient Descent and Gradient Descent with Adaptive Learning Rate and Momentum are nested in the bacterial mutation. © 2010 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2010.5483817

Predicting Natural Frequencies of a Cantilever Using Machine Learning

Ambrus Zelei Krisztián Horváth

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 105-111

Description:

In the context of structural analysis and design, natural frequencies play a vital role, and their prediction is essential in machine and vehicle design processes. The simulations related to the modal parameters are computationally intensive for systems with large complexity. This paper demonstrates on an illustrative academic example that natural frequencies can be successfully predicted using ML models. This paper aims to develop a model based on machine learning (ML) to predict a simple cantilever's natural frequencies based on the physical parameters of the beam. The independent variables X are the geometric parameters including width, length, and thickness, while the dependent variable Y is the natural frequency. The study is framed using a systematic methodology that covers the stages of data collection, ML model selection, model training and validation. The validation process proves the effectiveness of ML as a computationally cheap replacement for traditional methods of prediction. The current research contributes to the investigation of the usage of commercially available ML tools in structural engineering. We report that the ODYSSEE A-Eye software is capable of natural frequency prediction with a varying geometry structure with less than 4% error for an 80-member training set of cantilever beam with various dimensions. Further developments will include considerations of noise, vibration, and harshness (NVH) to enhance system performance and improve user comfort.

Open Access: Yes

DOI: 10.3233/ATDE240533

"System identification" and hermeneutics for long run series of synchronicities in the Pauli-Jung relationship

Péter Várlaki Imre J. Rudas József Bokor

Publication Name: Iccc 2009 IEEE 7th International Conference on Computational Cybernetics

Publication Date: 2009-12-01

Volume: Unknown

Issue: Unknown

Page Range: 129-140

Description:

The paper discusses some characteristic symbolic patterns which can be identified in the long run series of synchronicities in the Pauli-Jung cooperation concerning the long run dream series of Pauli. We try to show the paradigm of the modern system and control theory in the typical identifiable structures and symbolic patterns of dreams and synchronistic phenomena using the contemporary and old approaches of Hermeneutics. ©2009IEEE.

Open Access: Yes

DOI: 10.1109/ICCCYB.2009.5393949

Beyond “Potty Parity”: Public Toilets, Gendered Time Costs, and Institutional Accountability in Everyday Mobility

Judit Glavanits Zsolt Fényes

Publication Name: Laws

Publication Date: 2026-06-01

Volume: 15

Issue: 3

Page Range: Unknown

Description:

While public sanitation is a fundamental component of urban infrastructure, it is often treated as a discretionary amenity rather than a core public service subject to legal standards of equality and dignity. This article challenges gender-blind approaches to urban planning by examining how inadequate public toilet provision constrains women’s everyday mobility and presence in public space, raising questions of indirect gender discrimination and regulatory responsibility. Drawing on an exploratory mixed-methods study (N = 97), the analysis combines quantitative assessment of access barriers, qualitative user narratives, and time-based measurement of total restroom use duration to examine patterns of use and waiting with particular attention to gender differences. The findings indicate that hygiene-related concerns are reported across both men and women, without clear evidence of a consistent gender-specific pattern, while women are disproportionately affected by throughput failures, long waiting times, and the absence of care-integrated facilities. At the same time, variation in support for gender-neutral toilet solutions suggests that user acceptance may not align with model-based proposals in the literature. These inequalities reflect an institutional accountability gap with legal implications in the governance of everyday public services. By shifting the focus from numerical potty parity to temporal inequality and responsibility, this article contributes to feminist legal scholarship by situating sanitation within questions of temporal inequality and institutional responsibility. While exploratory in nature, the findings offer empirically grounded insights into inequalities in everyday sanitation governance.

Open Access: Yes

DOI: 10.3390/laws15030055

Performance prediction of conservative parallel discrete event simulation

Andras Varga G. Lencse

Publication Name: 8th International Industrial Simulation Conference 2010 Isc 2010

Publication Date: 2010-01-01

Volume: Unknown

Issue: Unknown

Page Range: 214-219

Description:

In a previous paper, a quantitative criterion has been proposed for efficient execution of the Null Message Protocol, the best-known conservative parallel discrete event simulation (PDES) protocol. The criterion is based on a novel concept of the coupling factor, and allows one to use intuitive and easy-to-measure input parameters. The criterion can be used to assess simulation models' potential for parallel execution as well as the maximum partitioning that may still potentially yield good performance. This paper deals with experimental verification of the proposed rule that a large coupling factor is a necessary precondition for getting a good speed-up with conservative parallel simulation. A closed queueing network is used as simulation model, and it is run on up to 24 CPU cores. It is shown that the criterion provides a quick and convenient way to determine whether a simulation model has a potential for speed-up before actually investing work in the parallelization.

Open Access: Yes

DOI: DOI not available

Extension of isothermal time-temperature parameters to non-isothermal conditions: Application to the simulation of rapid tempering

Janez Grum Gustavo Sanchez Sarmiento Augusto Moita De Deus Imre Felde Tamás Réti Rafael Colas

Publication Name: Strojniski Vestnik Journal of Mechanical Engineering

Publication Date: 2010-04-28

Volume: 56

Issue: 2

Page Range: 84-92

Description:

A phenomenological method for constructing non-isothermal, generalized time-temperature parameters (GTT parameters) is presented. An analysis of the relationship between the various traditional isothermal time-temperature parameters has verified that the generalized Dorn-parameter is regarded to be the sole non-isothermal complex parameter to which a rigorous, physically well-founded interpretation is attributed. Possible applications of GTT parameters are illustrated by examples concerning the prediction of hardness change in quenched steels during rapid tempering treatments. © 2010 Journal of Mechanical Engineering. All rights reserved.

Open Access: Yes

DOI: DOI not available

Digital business ecosystem tools as interoperability drivers

Maria Raffai Miklós Herdon Ádám Péntek Tünde Rózsa

Publication Name: IFIP Advances in Information and Communication Technology

Publication Date: 2010-01-01

Volume: 326

Issue: Unknown

Page Range: 116-127

Description:

Today’s businesses form a highly interconnected network of companies, organisations, technologies, consumers, products and services. The concept of the Digital Business Ecosystem (DBE) has been come life in order to build an Internet-based environment in which businesses will be able to interact with each other more efficiently. In a Digital Ecosystem, a leadership structure is formed in order to be capable of responding to the dynamic needs of the environment. The agent in a Digital Ecosystem can both be a client and a server at the same time. With the same message, agents can simultaneously offer a service to others as a Server and request help as a Client. Industries may have their own systems but they are not yet business ecosystems. Digital ecosystems rely on a technological infrastructure to mediate the formalisation of knowledge in SME networks, the creation of software services, and different type of interactions between SMEs. There are many fields of application in the agro-food industry where interoperability of information system would be essential. Amongst others food tracking and tracing, logistics, SRM and CRM integration all need interoperability solution in a heterogeneous environment. Our prototypes can help in building these cooperative information systems.

Open Access: Yes

DOI: 10.1007/978-3-642-15509-3_11

Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment †

Attila Borsos Viktor Nagy Ágoston Pál Sándor Diovane Mateus da Luz

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

The advent of autonomous vehicles (AV) could revolutionize the automotive industry by significantly improving safety, efficiency, and accessibility. Despite their potential to improve traffic safety by reducing human error, their integration into existing transportation systems presents significant challenges. This is particularly evident in scenarios involving takeover events, where there is a transition of control from the vehicle to the human driver. Our driving simulator study, involving 14 drivers in a work-zone environment, provides critical insights into the takeover performance of level 3 to level 5 AVs. The findings suggest that the successful integration of AVs depends on their seamless incorporation into existing systems and the readiness of drivers to adapt to this emerging technology.

Open Access: Yes

DOI: 10.3390/engproc2024079059

Customized 3D-Printed Insoles for Diabetic Foot Care: Finite Element analysis and Machine Learning Approach

Yaodong Gu Gusztáv Fekete Zixiang Gao Yining Xu Zhenghui Lu Xin Li Qiaolin Zhang Hairong Chen

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 515-522

Description:

Diabetic foot is a common complication in patients with diabetes, which can lead to plantar ulcers and even necessitate amputation. This study aims to utilize finite element analysis to simulate the offloading effects of 3D-printed insoles with various structures on plantar pressure and to explore the use of machine learning in providing optimal plantar pressure offloading solutions for patients with diabetic foot. The results demonstrated that negative Poisson's ratio structured insoles were more effective in reducing plantar pressure (reducing pressure by an average of 39.2%) than barefoot and conventional structures. This was achieved through a unique lateral contraction deformation, which increased the contact area with the foot. The pressure-reducing effect of insoles may be weight-related, suggesting that heavier patients may require stiffer insoles. However, the machine learning algorithm demonstrated a poor fit (only 60.75%) in the task of recommending suitable insoles. In conclusion, this study demonstrated the significant effect of negative Poisson's ratio structured insoles in reducing plantar pressure in diabetic patients, providing new ideas for diabetic foot protection. With the development of data analysis technology in the future, the feasibility and application of personalised insole design will be more promising.

Open Access: Yes

DOI: 10.3233/ATDE240588