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Found 6412 publications

Use of multifunctional geocomposites as dampers for structure subjected to external vibrations

Péter Beke Tamás Szatmári

Publication Name: 11th International Conference on Geosynthetics 2018 Icg 2018

Publication Date: 2018-01-01

Volume: 4

Issue: Unknown

Page Range: 2796-2802

Description:

Vibrations created by road or railway traffic are transmitted though soil to adjacent structures. In densely populated urban areas this can have an impact on the health and well-being of residents as well as affecting the value of their property. Geocomposite products with 3D looped filament polyamide cores have been used successfully over the world for decades in vertical and horizontal drainage applications. In situ monitoring coupled with complementary laboratory testing has led to a comprehensive understanding of the capabilities of these products, which due to the long-term elasticity of the polyamide core enables these materials to reduce the transmission of these vibrations. This paper discusses the efficiency of the geocomposite materials on the basis of newly executed field test results regarding the behaviour of geocomposite materials in dynamic pressure environment.

Open Access: Yes

DOI: DOI not available

Parametric Analysis of Metal Matrix Syntactic Foams

Imre Fekete Imre Czinege

Publication Name: Lecture Notes in Mechanical Engineering

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: 15-33

Description:

Metal matrix syntactic foams are playing an increasingly important role in different structures. Their application is primarily aimed at weight reduction and energy absorption. The present research uses sensitivity analysis, response surface methodology, and principal component analysis to quantify the effect of matrix yield strength, matrix-to-filler ratio, ceramic sphere wall strength, and wall thickness-to-diameter ratio on the critical compressive strength of metal matrix syntactic foam. It was found that the thickness-to-diameter ratio and strength of the sphere wall are the determining factors in the evolution of the compressive strength, but the matrix strength has less effect on the output.

Open Access: Yes

DOI: 10.1007/978-981-96-6452-8_2

Factors affecting the quality of raw sheep and goat milk

Székelyhidi Rita

Publication Name: Magyar Allatorvosok Lapja

Publication Date: 2017-11-01

Volume: 139

Issue: 11

Page Range: 687-696

Description:

Based on large number of publications in scientific literature, the author provide information on the factors affecting the quality of raw sheep and goat milk. She presents the effect of the variety within species, the impact of stage of lactation and seasons, the influence of milking and changes in somatic cell count in milk composition. In sheep milk the amount of milk fat, milk protein and casein in the final stage of the lactation rises compared to the first stage. In goat milk the concentration of milk fat decreases in the middle stage of lactation compared to the first stage and it increases in the final stage and the amount of milk protein and casein constantly increases during the lactation. High milk yield is usually combined with a long lactation period, normally 8-10 months, but the dairy sheep maintain lactation for 2 years without more calving. A high somatic cell count milk have a higher proteolytic activity, and they contain larger quantities of fat and casein and lower concentration of whey proteins, especially serum albumin and immunoglobulin. The proteolytic enzymes in the somatic cells attack the as2- and β-casein. Just like the goats, the sheep also respond to changes in the environment, they have developed a genetic multiplication pace that follows the seasons change and the better food endowments. If the lactation period begins before the spring or the rainy season, lactation period will be longer because of the better feed. There is 80-90% correspondence between the udder size and the milk yield, and the milk yield depends on the surface size of alveoli, too. Increasing the number of milking ordinarily increases the amount of the expressed milk, but in this case there are significant differences between individual animals.

Open Access: Yes

DOI: DOI not available

Vulnerability assessment of residential buildings in Jeddah: A methodological proposal

Orsolya Kegyes-Brassai Ahmed Al-ghamadi Md Faiz Shah Anas Ahmed Anas Ahmed Richard P. Ray

Publication Name: International Journal of Geomate

Publication Date: 2018-01-01

Volume: 14

Issue: 44

Page Range: 134-141

Description:

The City of Jeddah in Saudi Arabia is expanding rapidly, in terms of new buildings and increasing population. The rapid urbanization leads to higher risk from seismic events; even in areas of moderate seismicity such as this city. The present study addresses the rapid evaluation of a large number of buildings in Jeddah involving steps to determine hazard, assessing building stock, and computing vulnerability with a scoring method from FEMA 155. Two districts were selected for investigation based on a cluster analysis applied to population and building data from the local municipality. One selected district was a contemporary developed urbanized area, and the other was a more traditional area. Such selection offered the possibility to compare vulnerability of buildings built according to different seismic codes and to make assumptions about the rest of the city based on typical structures of districts. The basic structural score was determined considering the building structure and moderate seismicity of the region using score modifiers, e.g. vertical irregularity score modifier; soil score modifier assuming sabkahs. The results of the investigation reveal a different level of vulnerability and areas where intervention is needed. The method can be applied for further analysis of the city.

Open Access: Yes

DOI: 10.21660/2018.44.85087

Perceived Barriers of Gen AI Integration in Entrepreneurship Education: Implications for Information Systems Scholars and Practitioners

Armando Papa Rekha Attri Intesar Almugren Gábor Szábo-Szentgróti Abhishek Bhushan Singhal

Publication Name: Journal of Global Information Management

Publication Date: 2026-01-01

Volume: 34

Issue: 1

Page Range: Unknown

Description:

Generative AI can enhance venture creation education, yet faculty adoption remains limited. This study explores why through a three-stage mixed-methods approach. Stage 1 reviewed 2020–25 literature to identify 23 barriers across pedagogical, technical, institutional, and ethical domains. Stage 2 involved interviews with experienced entrepreneurship educators, refining and reducing the list to 15 context-specific challenges. Stage 3 used a fuzzy-DEMATEL survey to capture expert causal judgments, while thematic coding of interviews added narrative depth. The resulting influence map highlights a clear hierarchy: lack of staff training, unclear governance, and weak technical support are key upstream barriers, while concerns like plagiarism and over-reliance are downstream effects. Cluster analysis groups drivers into pedagogical, organisational, and infrastructural clusters, suggesting a phased response: begin with training and transparent policy, then invest in tools and assessments.

Open Access: Yes

DOI: 10.4018/JGIM.400249

Empirical white noise processes and the subjective probabilistic approaches

András Rövid Peter Varlaki László Palkovics

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2019-11-15

Volume: 48

Issue: 1

Page Range: 19-30

Description:

The paper discusses the identification of the empirical white noise processes generated by deterministic numerical algorithms. The introduced fuzzy-random complementary approach can identify the inner hidden correlational patterns of the empirical white noise process if the process has a real hidden structure of this kind. We have shown how the characteristics of auto-correlated white noise processes change as the order of autocorrelation increases. Although in this paper we rely on random number generators to get approximate white noise processes, in our upcoming research we are planning to turn the focus on physical white noise processes in order to validate our hypothesis.

Open Access: Yes

DOI: 10.3311/PPtr.15165

LPV type model of deformational force in vehicle collisions

Istvan A. Harmati András Rövid Peter Varlaki

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

Publication Date: 2009-12-01

Volume: Unknown

Issue: Unknown

Page Range: 103-108

Description:

Modeling of the deformational force and absorbed energy plays a very important role in different fields of vehicle engineering. The usually applied FEM based methods give good approximations, but they have extremely large computational complexity. On the other hand there exist simple force models, but they not approximate well in details the real data. The aim of this paper is to introduce a force model for vehicle deformation, which is able to describe the real process and have acceptable complexity. ©2009IEEE.

Open Access: Yes

DOI: 10.1109/ICCCYB.2009.5393952

On the non hierarchical matrix representation of the negative, non integer order sobolev norms

Béla Kiss

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

Publication Date: 2006-06-29

Volume: 3743 LNCS

Issue: Unknown

Page Range: 663-670

Description:

In this paper a new cyclic matrix representation of the Sobolev norms Ha, a ∈ (-1, 0) are presented. The matrix-vector multiplication by these matrices requires only O(N · log(N)) arithmetic operations, where N is the number of unknowns, The application of the new H-1/2 norm representation as Schur complement preconditioning matrix requires only matrix-vector multiplication. The efficiency of the construction to elliptic problems has been verified by numerical tests. © Springer-Verlag Berlin Heidelberg 2006.

Open Access: Yes

DOI: 10.1007/11666806_76

Optimizing asphalt foaming using neural network

A. Saleh László Gáspár

Publication Name: Pollack Periodica

Publication Date: 2024-03-22

Volume: 19

Issue: 1

Page Range: 130-136

Description:

This study uses a three-layer backpropagation neural network combined with particle swarm optimization to control the foamed bitumen in cold recycling technology. The foaming process of bitumen is non-linear and depends on dynamic temperature. By developing a neural network model, this study effectively captures the complex relationships between temperature, water content, air pressure, and the expansion ratio and half-life of foamed bitumen. The integration of particle swarm optimization enhances the accuracy and convergence of the neural network model by optimizing the initial weights. This optimization process improves the model's ability to predict and control the quality of foamed bitumen accurately. It serves as a valuable tool for the rapid development of high-quality cold asphalt design.

Open Access: Yes

DOI: 10.1556/606.2023.00896