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Publications - 6374

Comparison of Italian and Hungarian Black Spot Ranking

Dániel Miletics Attila Borsos Salvatore Cafiso C. D'Agostino

Publication Name: Transportation Research Procedia

Publication Date: 2016-01-01

Volume: 14

Issue: Unknown

Page Range: 2148-2157

Description:

Black spot ranking is an important tool for finding the sites with potential safety improvement on the road network. The EU Directive on Road Infrastructure Safety Management also demands the ranking of high accident concentration sites. This paper gives an introduction to localizing high accident concentration sites and the indicators used by Italy and Hungary. Accident and traffic volume data are gathered for motorway sections from both countries. Safety ranking is made using two conventional indicators, absolute number of accidents and accident rate. A more sophisticated ranking using the Empirical Bayes method is applied. Expected average crash frequency with Empirical Bayes adjustment is calculated. Based on the estimation of the crash frequency, the Critical Crash Rate (CCR) was added to identify and rank black spots. This additional performance measure is able to take into account traffic volume as required by the EU Directive. Results of the Empirical Bayes method are compared with the conventional procedures. It is concluded that the results are not comparable; inasmuch as there are modifications in the order of black spots. Based on the comparison of results recommendations are given to change the practice in both countries.

Open Access: Yes

DOI: 10.1016/j.trpro.2016.05.230

Controlled bidirectional energy transfer by ultracapacitors in electric drive

Z. Puklus András Fehér

Publication Name: 12th IEEE International Symposium on Computational Intelligence and Informatics Cinti 2011 Proceedings

Publication Date: 2011-12-01

Volume: Unknown

Issue: Unknown

Page Range: 31-34

Description:

This paper shows the possibility of the two-directional energy transfer between energy sources using the example of ultracapacitors. The showed method allows bidirectional energy transfer between power systems which use different voltage levels. We used PSIM program to simulate the bidirectional energy transfer and study the operation of the applied model. © 2011 IEEE.

Open Access: Yes

DOI: 10.1109/CINTI.2011.6108526

The probability of obstructive sleep apnea disorders emergence by odds ratio of main risk factors

Ferenc Ihász Krisztina Szabó

Publication Name: Orvosi Hetilap

Publication Date: 2017-05-01

Volume: 158

Issue: 21

Page Range: 823-828

Description:

Introduction: The quality of sleep plays a serious role in the individual's daytime performace and state of health, there by it has a strong influence on the society. Aim: The present study measures the probability developing and severity of obstructive sleep apnea syndrome, - which belongs to group of disorders of the respiratory - through odds ratio of leading risk factors. Method: 127 persons were examined in the test. The sleep structure test data were processed by polysomnographic screening device. Results: The nutritional level of body in mass index (BMI), and the neck circumferences data were recorded in cm. On the basis of the examination the gender as a risk factor it can be said that the odds ratio for men compared to women, more than three times higher of emergence of disease. Conclusions: Men's chance of the emergence of serious disease is more than four times higher than women's chance. In the men's test group the most significant predictor of obstructive sleep apnea amongst the risk factors is the circumference according to odds ratio. In women's group the leader odds ratio is BMI. More than 50% of test goup don't report about daytime sleepiness, and this fact draws our attention to the role of risk factors' odds ratio in selection.

Open Access: Yes

DOI: 10.1556/650.2017.30742

Adaptive improvement of a passive antilock brake control

J. O. Pedro S. John Laszlo T. Koczy

Publication Name: IEEE AFRICON Conference

Publication Date: 2011-12-12

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The use of reliable or at least realistic friction models is a key factor in simulation studies related to antilock brake control systems. In the literature a plethora of strongly nonlinear tyre-road friction models are available. Certain models have singular expressions in the arguments of exponential terms in the vicinity of zero car body velocity though this region has practical significance. Since the parameters of these singular models may quickly vary in time with the variation of the road conditions their realtime identification was evaded in a paper that applied a simple observer instead. This method has been improved in the present paper by applying a novel adaptive technique for compensating the effects of the imprecisely known other (i.e. not related to the tyre-road friction) parameters. By the use of a particular friction model it was found via simulations that the adaptive technique can considerably shorten the braking distance. © 2011 IEEE.

Open Access: Yes

DOI: 10.1109/AFRCON.2011.6072040

Multi-Span Box Girder Bridge Sensitivity Analysis in Response to Damage Scenarios

Rajmund Kuti M. Brinissat R. P. Ray

Publication Name: Buildings

Publication Date: 2024-03-01

Volume: 14

Issue: 3

Page Range: Unknown

Description:

Due to their distinct features, including structural simplicity and exceptional load-carrying capacity, steel box girder bridges play a critical role in transportation networks. However, they are categorized as fracture-critical structures and face significant challenges. These challenges stem from the overloading and the relentless effects of corrosion and aging on critical structural components. As a result, these bridges require thorough inspections to ensure their safety and integrity. This paper introduces generalized approaches based on vibration-based structural health monitoring in response to this need. This approach assesses the condition of critical members in a steel girder bridge and evaluates their sensitivity to damage. A rigorous analytical evaluation demonstrated the effectiveness of the proposed approach in evaluating the Szapáry multi-span continuous highway bridge under various damage scenarios. This evaluation necessitates extensive vibration measurements, with piezoelectric sensors capturing ambient vibrations and developing detailed finite element models of the bridge to simulate the structural behavior accurately. The results obtained from this study showed that bridge frequencies are sufficiently sensitive for identifying significant fractures in long bridges. However, the mode shape results show a better resolution when compared to the frequency changes. The findings are usually sensitive enough to identify damage at the affected locations. Amplitude changes in the mode shape help determine the location of damage. The modal assurance criterion (MAC) served to identify damage as well. Finally, the results show a distinct pattern of frequency and mode shape variations for every damage scenario, which helps to identify the damage type, severity, and location along the bridge. The analysis results reported in this study serve as a reference benchmark for the Szapáry Bridge health monitoring.

Open Access: Yes

DOI: 10.3390/buildings14030667

Cultural Conceptualisations of TREE: A Cross-Cultural Analysis of Hungarian and Russian Folksongs

Judit Baranyiné Kóczy Júlia Hamsovszki

Publication Name: Second Language Learning and Teaching

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 21-49

Description:

One of the key issues of recent linguistic trends is to understand the interaction between language and culture, which can be well observed through the identification of cultural conceptualizations (Sharifian, 2011, 2017). This study explores and compares the basic cultural conceptualizations of tree, a concept which holds a universal symbolic status in human cognition, in Russian and Hungarian folk songs (e.g., Baranyiné Kóczy, 2018b), relying on approximately 800 + 600 texts presented in two Hungarian and Russian corpora of folksongs (Kireevsky, 1986). The study addresses the following questions: How is tree conceptualized in general in folk songs by the Hungarian vs. Russian folk cultural communities? Are specific conceptualizations attached to different tree-types in the two corpora? What similarities and differences of the underlying metaphors can be distinguished in these two systems of cultural conceptualizations? What specific conceptualizations are attached to various tree-species in these corpora? The study utilizes the methodological framework of Cultural Linguistics in that it identifies conceptual metaphors and metonymies in the texts and relates them to underlying cultural models. The research shows that, (a) Russian folk songs tend to employ various tree-types with distinct conceptualizations, whereas tree-species are less dominantly represented in the Hungarian folk songs; (b) the most frequent type of tree is дyб “oak” in Russian whereas rózsafa “rose-tree” in Hungarian; (c) despite some similar generic ideas behind cultural conceptualizations, their representations and the image schemas related to them can be quite different; (d) there are conceptualizations which are only present in either corpus. Overall, it is argued that the figurative uses of trees and parts of trees rely on cultural conceptualizations and are deeply embedded in the cognition of folk cultural communities.

Open Access: Yes

DOI: 10.1007/978-3-030-96099-5_2

Mapping the Climate–Water–Health Nexus Across African Climatic Regions (2000–2020)

Zoltán Ködmön

Publication Name: Water Switzerland

Publication Date: 2026-04-01

Volume: 18

Issue: 7

Page Range: Unknown

Description:

This study develops and applies a Climate–Water–Health (CWH) Nexus Index to compare multi-dimensional risk trajectories across six African Least Developed Countries, namely, Chad, Democratic Republic of Congo, Lesotho, Madagascar, Niger, and Togo, each representing major climatic regions. Using decadal averages for 2000–2009 and 2010–2020, the study constructs three sub-indices—Climate Risk Index, Water Insecurity Index, and Health Burden Index—and then aggregates them into a composite CWH index. Indicators are harmonized via min–max normalization, and water and health measures are expressed per 100,000 population to ensure cross-country comparability under differing population sizes. The results of the study indicate substantial heterogeneity in both levels and drivers of nexus risk. The CWH risk decreased in most countries from the 2000s to the 2010s, while relative positions shifted as improvements occurred unevenly across dimensions. Sensitivity analysis with equal and dimension-focused weights confirms that core country groupings and extremes are robust to plausible weighting schemes. External consistency checks show a strong negative Pearson correlation between the standard CWH and the Human Development Index in both decades, indicating that higher human development is associated with lower Nexus risk. The proposed framework is transparent, scalable, and suitable for extension to broader African coverage and subnational mapping.

Open Access: Yes

DOI: 10.3390/w18070767

Increasing Patient Specificity of the Recurrent Neural Network Based Insulin Sensitivity Prediction by Transfer Learning

Balázs Benyó J. Geoffrey Chase Bálint Szabó Katalin Kovács Ákos Szlávecz Béla Paláncz

Publication Name: Ines 2022 26th IEEE International Conference on Intelligent Engineering Systems 2022 Proceedings

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 27-32

Description:

Insulin therapy is a frequently applied treatment in intensive care to normalize the patient's blood glucose level increased by stress-induced hyperglycaemia. This therapy is generally referred to as Tight Glycaemic Control (TGC). The STAR (Stochastic-TARgeted) protocol is a TGC which uses the patient's insulin sensitivity (SI) as a key parameter to describe the patient's actual state. Prediction of the future patient's state, i.e. prediction of the patient's future SI value, is a crucial step of the protocol currently implemented by using the so-called Intensive Care INsulin Glucose (ICING) model of the human glucose-insulin system and an associated stochastic model. In our previous studies, we have shown that the Recurrent Neural Network (RNN) models are efficient alternative methods of SI prediction. In this paper, we suggest applying the so-called transfer learning technique to further enhance the accuracy of the SI prediction by using the SI history of the current patient. The paper presents the proposed methodology for applying transfer learning in SI prediction and the evaluation of the method's accuracy by comparing the outcomes with the currently applied solution. Insilico validation using real patients' data is involved in this validation.

Open Access: Yes

DOI: 10.1109/INES56734.2022.9922645

Fuzzy signature based methods for modelling the structural condition of residential buildings

Adam Bukovics Istvan A. Harmati Laszlo T. Koczy

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2018-01-01

Volume: 357

Issue: Unknown

Page Range: 237-273

Description:

Conservation, extension or renovation of residential buildings is a task that requires intensive attention, where it must be ensured that design and construction works are carried out in proper quality. Priority is given to the proper use of the available financial resources. Incorrect assessment of renovation or reconstruction needs might cause considerable financial loss without implementing necessary interventions (which could eliminate eventual deteriorations, or hinder their reoccurrence).

Open Access: Yes

DOI: 10.1007/978-3-319-60207-3_16