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Comparative Study of Model Order Reduction Methods via Truss Vibrations

Péter Horváth

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 209-216

Description:

The paper examines the accuracy of various model reduction techniques via modal analysis of a truss structure. Besides the widely used Craig-Bampton (CB) method in commercial software, three additional methods - modal truncation augmentation (MTA), system equivalent reduction expansion process (SEREP), and the Rubin method - are briefly introduced. Subsequently, the results provided by these methods are investigated through the comparison of natural frequencies, mode shapes, and frequency response functions. The study reveals that generally, the Rubin method provides the most accurate results, except in higher frequency ranges where its error suddenly spikes. With the MTA method, accuracy can be improved at low frequencies, but the error gradually increases. In the case of SEREP, the error remains approximately constant, resulting in larger errors at low frequencies and smaller errors at high frequencies compared to other methods.

Open Access: Yes

DOI: 10.3233/ATDE240547

Recent advances in the analysis of rosmarinic acid from herbs in the lamiaceae family

E. Lakatos V. Kapcsándi Székelyhidi Rita Beatrix Sik Zsolt Ajtony

Publication Name: Natural Product Communications

Publication Date: 2019-01-01

Volume: 14

Issue: 7

Page Range: Unknown

Description:

Rosmarinic acid (RA) is a phenolic acid found in a variety of plants, especially those in the Lamiaceae family. A number of biological effects are attributed to the compound; so, in recent years, RA has been the focus of many studies. The aim of this review is to provide information on the latest developments on flow chromatography analysis of RA. A reverse-phase high-performance liquid chromatography (HPLC) method with gradient elution and either diode array or mass spectrometric detection is usually used to measure the compound. Factors affecting the performance of HPLC analysis of RA such as sample preparation, column, mobile phase, and detection methods are discussed in detail in this review.

Open Access: Yes

DOI: 10.1177/1934578X19864216

Performance analysis and comparison of the TAYGA and of the PF NAT64 implementations

Sándor Répás Gábor Lencse

Publication Name: 2013 36th International Conference on Telecommunications and Signal Processing Tsp 2013

Publication Date: 2013-10-21

Volume: Unknown

Issue: Unknown

Page Range: 71-76

Description:

The transition mechanisms for the first phase of IPv6 deployment are surveyed and the most important NAT64 solutions are selected. The test environment and the testing method are described. As for the selected NAT64 implementations, the performance of the TAYGA running under Linux and of the Packet Filter (PF) of OpenBSD was measured and compared. The stability of the tested NAT64 solutions was analyzed under serious overload conditions to test if they may be used in production environments with strong response time requirements. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/TSP.2013.6613894

Effect of the initial population construction on the DBMEA algorithm searching for the optimal solution of the traveling salesman problem

Boldizsar Tuu-Szabo Ali Jawad Ibada László T. Kóczy

Publication Name: Infocommunications Journal

Publication Date: 2022-09-01

Volume: 14

Issue: 3

Page Range: 72-78

Description:

There are many factors that affect the performance of the evolutionary and memetic algorithms. One of these factors is the proper selection of the initial population, as it represents a very important criterion contributing to the convergence speed. Selecting a conveniently preprocessed initial population definitely increases the convergence speed and thus accelerates the probability of steering the search towards better regions in the search space, hence, avoiding premature convergence towards a local optimum. In this paper, we propose a new method for generating the initial individual candidate solution called Circle Group Heuristic (CGH) for Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA), which is built with aid of a simple Genetic Algorithm (GA). CGH has been tested for several benchmark reference data of the Travelling Salesman Problem (TSP). The practical results show that CGH gives better tours compared with other well-known heuristic tour construction methods.

Open Access: Yes

DOI: 10.36244/ICJ.2022.3.9

Applying Quadri-Partition Neutrosophic Soft Locally Compact Spaces to Enhance Machine Learning and Uncertainty Management

Cris L. Armada Mohamed Said Mohamed Rabia Andleeb Haitham Qawaqneh Arif Mehmood Jamil J. Hamja Dragan Pamucer Hamza Ali Abujabal Raed Hatamleh

Publication Name: International Journal of Analysis and Applications

Publication Date: 2026-01-01

Volume: 24

Issue: Unknown

Page Range: Unknown

Description:

Within the broader framework of quadri-partition neutrosophic soft bi-topological spaces (QPNSBTS), the concept of quadri-partition neutrosophic soft locally compact space (QPNSLCS) is introduced in this research. It strengthens the theoretical foundation for handling uncertainty in complex topological structures by demonstrating that local compactness, particularly when combined with the Hausdorff requirement, entails the existence of compact neighbors and compactness in subspaces. The key concepts and theorems illustrate how compactness can be effectively used in the context of neutrosophic soft sets, which are a more powerful way to handle unclear and ambiguous data in advanced mathematical and practical applications. Furthermore, a number of machine learning algorithms are used to explore the concept of a tangent similarity between two quadri-partition neutrosophic soft sets. Additionally, the current study includes a number of studies and visualizations to evaluate the effectiveness of different clustering algorithms and dimensionality reduction techniques. Each of the graphics in the findings illustrates a distinct method for viewing and comprehending complex data. The K-means++ initialization (Fig. 6.1) serves as an illustration of how the algorithm's initialization step improves clustering accuracy by choosing centroid (data points) that are widely distributed, reducing the likelihood of subpar clustering performance. More training is required since hidden units are only activated with low activations, according to restricted Boltzmann Machine (RBM) activation patterns (Fig. 6.2). Additionally, the Linear Discriminant Analysis (LDA) plots (Fig. 6.4) and Heatmaps (Fig. 6.3) might provide helpful details regarding the organization and segregation of the datasets. The discussion of the results, which can be devoted to their applicability in terms of clustering, dimensionality reduction, and feature learning, is based on these methods and the associated visual models.

Open Access: Yes

DOI: 10.28924/2291-8639-24-2026-38

Parallel computation of arbitrary shaped thin wire antennas

Miklós Kuczmann Géza Hegedus

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2011-04-26

Volume: 87

Issue: 3

Page Range: 70-72

Description:

An important group of antennas is that one, which antennas have been settled from thin wires. We can build complicated shaped antennas, and complex antenna-systems with these elements. In general case demand of counting of the 3-dimensioned model is too large. Mostly it is true in that case, if we use this one applying fine discretization. For this reason it is important to work out the parallel algorithm, where it is possible. At this work the method of moments has been used for discretization of the equations.

Open Access: Yes

DOI: DOI not available

Assessment of ecotourism potential in rural settlements in the function of rural development

Dragan Pamucar Darko Božanić Adis Puška Miroslav Nedeljković Anđelka Štilić

Publication Name: Cogent Social Sciences

Publication Date: 2025-01-01

Volume: 11

Issue: 1

Page Range: Unknown

Description:

To preserve resources for future generations and promote rural development, supporting ecotourism is essential. This paper provides guidelines for developing ecotourism, highlighting its role in environmental conservation. While mass tourism benefits rural communities, it can cause significant environmental harm. Therefore, this research promotes ecotourism as a sustainable alternative. In rural areas, ecotourism supports development by responsibly using natural resources. The study focuses on the potential of rural settlements in the Semberija region of Bosnia and Herzegovina, assessing their capacity for ecotourism to aid local development. A decision model was developed, considering four main criteria - natural, infrastructure, socio-cultural, and economic - and their sub-criteria. This model evaluates six rural communities’ ecotourism potential. To determine the importance of each criterion, a fuzzy weighting method with the Bonferroni mean operator was used, revealing economic factors as the most influential. The fuzzy ranking method then ranked the settlements, with Amajlije identified as having the highest ecotourism potential. The findings suggest that promoting ecotourism in Amajlije and similar communities can support sustainable rural development, balancing environmental preservation with economic growth.

Open Access: Yes

DOI: 10.1080/23311886.2025.2569756

Applicability of a computer retinal model for scale-dependent investigation of legibility problems

Gábor Dömötör András Horváth

Publication Name: Heliyon

Publication Date: 2025-02-28

Volume: 11

Issue: 4

Page Range: Unknown

Description:

Selecting an appropriate typeface is crucial in typography, web design, and other applications where text readability is essential. A key concept of this topic is legibility, the quality that shows how easy it is to recognize the letters of a particular font set. Previous works have measured legibility by human experiments, which has several limitations; for example, the methodology and circumstances were not entirely uniform, and the results may be distorted by the fatigue of the test subjects. This paper presents a new method using self-developed software to substitute human measurements in legibility testing. The software simulates the human retina's distortion effects (direction-dependent acuity) on test images of the assessed font's characters. Then, its output is analyzed using optical character recognition software. By integrating these techniques, we model the optical, biological, and cognitive steps of human character recognition as well. Although the simulation is imperfect, the software can perform significantly more measurements than human experiments with higher uniformity and give reproducible legibility information about significantly more fonts in various circumstances. In addition to the two scaling methods used in the literature (x-height, font-height), the tests are also performed with two other self-developed scaling methods, which provide a fairer comparison in the case of non-standard character types. This paper contains the legibility measurement results for 22 fonts under various simulated scenarios. The derived font ranking aligns closely with findings from prior human-based studies, demonstrating the robustness and reliability of the proposed method. Moreover, this approach provides valuable insights into font legibility across a broader spectrum of use cases, highlighting its potential for practical applications in typography and design.

Open Access: Yes

DOI: 10.1016/j.heliyon.2025.e42484

Carbamate insecticide bendiocarb induces complex embryotoxic effects, including morphological, behavioral, transcriptional, and immunological alterations in zebrafish

Julianna Kobolák Szilárd Póliska Zsolt Csenki András Ács István Szabó Tamás Müller Ádám Staszny Zoltán K. Varga Gyöngyi Gazsi Márta Tóth Márta Reining Róbert Kovács Apolka Domokos Zsófia Varga Erna Vásárhelyi Eszter Váradi Bence Ivánovics Zoltán Filep Zsolt Czimmerer Ferenc Baska Attila Bácsi Béla Urbányi

Publication Name: Comparative Biochemistry and Physiology Part C Toxicology and Pharmacology

Publication Date: 2026-01-01

Volume: 299

Issue: Unknown

Page Range: Unknown

Description:

The emergence and spread of vector-borne diseases necessitate the increased use of insecticides, such as carbamates, raising concerns about their potential toxicological risks to non-target organisms, including humans. Bendiocarb, frequently applied in indoor spraying operations and detected in maternal and fetal circulation, warrants particular attention for its developmental toxicity. This study aimed to assess transcriptional and phenotypic effects of sublethal bendiocarb exposure at concentrations of 0.035, 0.2, 0.4, 0.75, and 1.5 mg/L, using zebrafish embryos, a vertebrate model for developmental toxicity testing. Our analyses revealed acetylcholinesterase inhibition-associated morphological and behavioral abnormalities, including reduced locomotor activity in response to both visual and tactile stimuli, as well as impaired non-associative learning. Transcriptomic analysis indicated activation of muscle, immune, and metabolic pathways, while neurodevelopmental, phototransduction, and cell proliferation processes were suppressed. Consistent with these molecular findings, structural damage was observed in the retina, skeletal muscle, and notochord. Furthermore, bendiocarb exposure disrupted neutrophil granulocyte distribution and impaired inflammatory responses. Altogether, our results provide new insights into the embryotoxic effects of bendiocarb, highlighting its potential to disrupt early vertebrate development. These findings provide mechanistic insight that may support more informed evaluations of potential public health risks associated with developmental exposure to carbamates.

Open Access: Yes

DOI: 10.1016/j.cbpc.2025.110368