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Publications - 6515

Hierarchical-interpolative fuzzy system construction by Genetic and Bacterial Programming Algorithms

Krisztián Balázs Laszlo T. Koczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2011-09-27

Volume: Unknown

Issue: Unknown

Page Range: 2116-2122

Description:

In this paper a method is proposed for constructing hierarchical- interpolative fuzzy rule bases in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The resulting hierarchical rule base is the knowledge base, which is constructed by using evolutionary techniques, namely, Genetic and Bacterial Programming Algorithms. Applying hierarchical-interpolative fuzzy rule bases is an advanced way of reducing the complexity of the knowledge base, whereas evolutionary methods ensure a relatively efficient learning process. This is the reason of the investigation of this combination. © 2011 IEEE.

Open Access: Yes

DOI: 10.1109/FUZZY.2011.6007594

On Metrics Used in Colonoscopy Image Processing for Detection of Colorectal Polyps

Raneem Ismail Szilvia Nagy

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2021-01-01

Volume: 216

Issue: Unknown

Page Range: 137-151

Description:

Colorectal cancer is nowadays the fourth cause of cancer death worldwide. Prevention of colorectal cancer by detection and removal of early stage lesions is of essential importance and has become a public health challenge worldwide. As the screening is carried out mainly by some sort of endoscope, and the endoscopic image processing is an important area of research and development, it is essential to know what kind of measures are used in determining whether polyp finding hit rates or miss rates are acceptable. It is rather natural to match the hit rate measures to the method itself; thus, in this contribution, the most typical polyp detecting methods are summarized shortly together with the metrics they use for evaluation of their results. However, in computer-aided diagnostics, the measure that is used by the medical community might differ from the measures typical in image processing researches. Also, the output of such polyp detecting methods is tested as inputs for active contour methods.

Open Access: Yes

DOI: 10.1007/978-981-33-4676-5_10

HOME-BASED TELEWORK: ASPECTS OF COMMUNICATION. EVIDENCE FROM HUNGARY

Ágnes Borgulya Márta Konczos Szombathelyi Gábor Balogh

Publication Name: Economics and Sociology

Publication Date: 2023-01-01

Volume: 16

Issue: 3

Page Range: 178-197

Description:

This paper examines the communication aspect of Home-Based Telework (HBT). The aim of this study is to focus on internal organizational communication from the perspective of occupation and time spent in HBT by answering two research questions. Firstly, how does the occupation influence the perception of organizational communication and the attitude towards remote work? Secondly, does the evaluation of communication within the organization change according to the employees' judgment, depending on the time spent in HBT? During the research, a systematic literature review related to HBT was carried out. Moreover, an anonymous online questionnaire survey was conducted in four occupational groups, on a sample of 1,100 people. The results show that there are significant differences related to the perception of communication between groups that can be distinguished based on occupations and time. The conclusions drawn from the results can serve as a reference point both for the researchers of the topic and for those company managers who prepare and organize the permanent introduction of HBT.

Open Access: Yes

DOI: 10.14254/2071-789X.2023/16-3/10

Anti-inflammatory activity of melampyrum barbatum and isolation of iridoid and flavonoid compounds

Anita Sztojkov-Ivanov Gergely Király Edit Wéber G. Pinke Laura Fási Judit Hohmann Róbert Gáspár Erzsébet Háznagy-Radnai

Publication Name: Natural Product Communications

Publication Date: 2018-03-01

Volume: 13

Issue: 3

Page Range: 235-236

Description:

Melampyrum barbatum Waldst. & Kit. Ex Willd. (Scrophulariaceae) has been used in traditional medicine for the treatment of rheumatic complaints and different skin diseases. In the course of our study the anti-inflammatory activity of the aerial parts of M. Barbatum was evaluated. A MeOH extract was prepared and consecutively partitioned with CHCl3, EtOAc and n-BuOH. The fractions were assayed in in vivo carrageenan-induced rat paw oedema model. The intraperitoneally administered n-BuOH phase exerted marked inhibitory effect (33.6 %, p < 0.01). Multistep chromatographic separation afforded mussaenoside and aucubine from n-BuOH fraction. Moreover, 8-epiloganin, loganic acid and mussaenoside were obtained from EtOAc fraction and apigenin, luteolin, benzoic acid and galactitol from CHCl3 fraction. These data validate the ethnomedicinal use of M. Barbatum for the treatment of inflammatory diseases and reveal that iridoids and flavonoids could be responsible for the anti-inflammatory effect of this species.

Open Access: Yes

DOI: 10.1177/1934578x1801300301

DAIRY WASTEWATER UTILIZATION BY COMBINATION OF OXIDATION PRE-TREATMENT AND ULTRAFILTRATION

Zsuzsanna László Sándor Beszédes E. Lakatos Mihály Zakar Gábor Keszthelyi-Szabó

Publication Name: Environmental Engineering and Management Journal

Publication Date: 2021-01-01

Volume: 20

Issue: 12

Page Range: 1711-1719

Description:

In this work the effects of oxidation pre-treatments (ozonation and Fenton reaction) on membrane filtration of dairy wastewater were investigated, together with the further utilization possibilities of residual wastes. The oxidation pre-treatments enhanced the membrane filtration efficiency, from which the short-term ozone treatment was found to be the most effective method both in terms of increasing the flux and the pollutant removal efficiency. After ozone pre-treatment the phosphate and ammonium content of the wastewater migrated to the permeate, while after Fenton pre-treatment the phosphate content remained in the concentrate, and the ammonium content in the permeate decreased. The concentrate was utilized as biogas resource and it was found that both pretreatments increased the biogas production and its methane content as well. Based on our results it can be concluded that ozone pretreatment combined with membrane separation have improved the efficiency of dairy wastewater treatment and may suit the requirements of circular economy.

Open Access: Yes

DOI: DOI not available

Fuzzy Logic and Push-Out Test Innovations for Fiber-Reinforced Self-compacting Concrete Assessment

Oveys Ghodousian Majid Movahedi Rad Vahid Shafaie Géza Herczeg

Publication Name: Fib Symposium

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 855-862

Description:

This research addresses the deterioration of concrete infrastructures, emphasizing the efficacy of Fiber-Reinforced Self-Compacting Concrete (FRSCC) in repair applications. The study investigates the bond strengths between new and existing concrete layers, employing both experimental and numerical methods to evaluate traditional and innovative testing approaches, including slant shear and push-out tests. Results demonstrate that FRSCC, enhanced with polypropylene fibers, significantly improves structural resilience and mechanical properties. The introduction of fuzzy logic models further refines the prediction of bond strengths, offering a robust framework for future concrete technology advancements.

Open Access: Yes

DOI: DOI not available

Explainable XGBoost-based models of root-zone soil moisture profiling using coupled Sentinel-2 and IoT data in loam and silt loam soil

Tarek Alahmad A. Nyéki M. Neményi

Publication Name: Discover Applied Sciences

Publication Date: 2026-06-01

Volume: 8

Issue: 6

Page Range: Unknown

Description:

Background: Accurate prediction of soil moisture content (SMC) is crucial for sustainable irrigation management and enhancing resilience against climate change. However, in-situ sensing offers accurate point-scale measurements but lacks spatial representativeness, while satellite-based offer spatial coverage but are either too coarse at field scale or indirect and cloud -sensitive. Integrating satellite observation with ground-based monitoring and IoT meteorological data could exploit complementary strengths by linking canopy conditions and atmospheric drivers to reliable in-field reference measurements. Method: This study predicts SMC at five depths (5 to 80 cm) for two soil texture classes (loam and silt loam) using Extreme Gradient Boosting (XGBoost) by integrating Sentinel-2 vegetation indices Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) with Internet of Things (IoT)-derived meteorological data using two input scenarios and gravimetric SMC as reference for model training and evaluation. Results: The model trained with combined inputs achieved higher accuracy compared with using only vegetation indices as predictors in both soil textures and all depths. This was especially evident in loam soil at 5 and 20 cm depth, with R² values of 0.95 and 0.79 and RMSE values of 0.88% and 1.46%, respectively, compared to R² values of 0.70 and 0.69 and RMSE values of 2.26% and 1.77% when using vegetation indices only. The model achieved near-perfect accuracy in silt loam with R² = 0.99 at 5–20 cm and RMSE = 0.49–0.40% at same depths. SHapley Additive exPlanations (SHAP) analysis identified NDVI as the most influential predictor in surface soil layers (mean SHAP = 0.11–0.22), reflecting its strong sensitivity to canopy vigor. In contrast, solar radiation emerged as key determinant in deeper soil layers (60 and 80 cm; SHAP = 0.12–0.18), highlighting the importance of atmospheric evaporative demand in controlling subsoil moisture dynamics. Conclusions: The model’s accuracy and interpretability enable depth-specific decision support for irrigation timing and water use efficiency under variable weather conditions, while providing actionable driver insights for climate-adaptive management aligned with SDGs 6 and 13. The approach is validated for loam and silt loam textures using optical Sentinel-2 indices, which are subject to cloud cover and revisit latency; therefore, the current framework is not suitable for real-time irrigation scheduling without accounting for these delays. Future integration with SAR and gap-filling strategies would be required for operational real-time applications.

Open Access: Yes

DOI: 10.1007/s42452-026-08673-3

TWENTY YEARS OF THE HUNGARIAN REGIONAL SCIENCE ASSOCIATION IN NUMBERS

Zsuzsanna Zsibók Judit Berkes

Publication Name: Deturope

Publication Date: 2022-01-01

Volume: 14

Issue: 3

Page Range: 144-161

Description:

This study is a retrospect on the 20th anniversary of the founding of the Hungarian Regional Science Association. Our aim is to provide a brief but comprehensive overview of these two decades in the light of quantifiable facts and results. We use document analysis and statistical descriptive methods in order to present a compact picture of the history of the Association's development. The results of our analysis confirm the impression that the Association, after a consistent building process, is characterised by stability, and it offers a wide range of perspectives for professional cooperation between the representatives of regional science

Open Access: Yes

DOI: 10.32725/DET.2022.026

Processing systems design considering resilience

Ákos Orosz Jean Pimentel Ferenc Friedler

Publication Name: Computer Aided Chemical Engineering

Publication Date: 2021-01-01

Volume: 50

Issue: Unknown

Page Range: 807-812

Description:

The resilience of a system is defined as the system's capability of recovering from failures. Traditionally, only predictable aspects are considered when designing processing systems. Evaluation of these aspects is performed via assessment of exact indicators and enumeration of all cause-effect options. However, such evaluation is not appropriate for determining the resilience of processing systems, since resilience is based on unexpected events in addition to the expected ones. Consequently, the cause part of the cause-effect relation is not known or not effective. In the current work, the general formula for determining resilience of a system is embedded into a P-graph based process synthesis algorithm. Thus, the resilience can be considered when selecting the most preferred process during its synthesis. The result is illustrated by synthesizing a process of adipic acid production by nitric acid oxidation of KA oil.

Open Access: Yes

DOI: 10.1016/B978-0-323-88506-5.50126-1