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Found 6412 publications

2D advertising in 3D virtual spaces

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2018-01-01

Volume: 15

Issue: 3

Page Range: 175-190

Description:

2D advertising in VR is more effective than in the classic banner ad format, our study confirms that ads in VR evoke better memory, namely more participants remembered the advertisement displayed in VR than the web-based ad. Advertising in virtual realities does not have to mean a virtual space exclusively dedicated to the promoted product. It can be a 2D ad inserted in the virtual space. It differs from the classic web-based ads, as it is not inserted in the content of a webpage, but stands alone in a virtual space. In this paper, we show a comparison of the classic banner ads, and 2D ads placed in a 3D virtual world. The effectiveness of the VR advertisement is higher than the classic web-based ads. In our experiment 22 people were involved. As the virtual space, we used the MaxWhere virtual platform, where the participant’s task was to read four online articles. In one condition four banner ads were placed on each webpage, in the other condition, the advertisement was placed in the virtual space. Then, they answered questions about the article and the advertisement.

Open Access: Yes

DOI: 10.12700/APH.15.3.2018.3.10

Investigation on the tribological behavior of thermal sprayed coatings applied to cylinder liners - Influence of chromium content on wear resistance of plasma transferred wire arc coatings

Publication Name: 5th World Tribology Congress Wtc 2013

Publication Date: 2013-01-01

Volume: 1

Issue: Unknown

Page Range: 305-308

Description:

No description provided

Open Access: Yes

DOI: DOI not available

Rational Gaussian Wavelets and Corresponding Model Driven Neural Networks

Publication Name: IEEE Transactions on Signal Processing

Publication Date: 2025-01-01

Volume: 73

Issue: Unknown

Page Range: 3140-3155

Description:

In this paper we introduce a highly adaptive continuous wavelet transform using Gaussian wavelets multiplied by an appropriate rational term. The zeros and poles of this rational modifier act as free parameters and their choice highly influences the shape of the mother wavelet. This allows the proposed construction to approximate signals with complex morphology using only a few wavelet coefficients. We show that the proposed rational Gaussian wavelets are admissible and provide numerical approximations of the wavelet coefficients using variable projection operators. In addition, we show how the proposed variable projection based rational Gaussian wavelet transform can be used in neural networks to obtain a highly interpretable feature learning layer. We demonstrate the effectiveness of the proposed scheme through a number of numerical experiments including biomedical applications, and the detection of abnormal road surface based on tire sensor signals.

Open Access: Yes

DOI: 10.1109/TSP.2025.3592099

Influence of the Tensor Product Model Representation of qLPV Models on the Feasibility of Linear Matrix Inequality Based Stability Analysis

Publication Name: Asian Journal of Control

Publication Date: 2018-01-01

Volume: 20

Issue: 1

Page Range: 531-547

Description:

The paper investigates and proves the statement, that the convex hull of the polytopic tensor product (TP) model representation influences the feasibility of linear matrix inequality (LMI) based stability analysis methods. The proof is based on a complex stability analysis example of a given quasi linear parameter varying (qLPV) state-space model. Specifically, the three degree of freedom (3-DoF) aeroelastic wing section model including Stribeck friction is used as the tool for the example model. The proof is achieved by utilizing TP model transformation and LMI based tools. As a first step, numerous TP model type control solutions holding different convex hulls are systematically derived of the qLPV model via LMI based control design methods. As a second step, each control solution is further equivalently transformed for different TP model representations holding different convex hulls. Finally, the stability of all solutions over all TP model representations are checked via LMI based stability analysis methods. As a result of the two steps, a two dimensional (2D) convex hull space is attained for the 3-DoF aeroelastic wing section model. The two dimensions are denoted by the LMI based control design and the LMI based stability analysis for different convex hulls. Based on the numerical results, a detailed, comprehensive analysis is provided. The paper as a novelty proves the statement, that the polytopic TP model representation of a given control solution strongly influences the feasibility of LMI based stability analysis methods.

Open Access: Yes

DOI: 10.1002/asjc.1566

Comparison of the reliability of SNAP foal Ig test, gamma-check e test, refractometry and electrophoresis for determining the immune status of newborn foals in the first hours of life

Publication Name: Acta Veterinaria Hungarica

Publication Date: 2018-01-01

Volume: 66

Issue: 4

Page Range: 573-586

Description:

Twenty-eight warmblood mares were monitored during their late pregnancy in the Teaching Hospital of Ghent University. The reliability of two commercial assays (enzyme immunoassay and glutaraldehyde coagulation test) used for determining the IgG concentrations of their newborn foals was tested. Mammary secretions were examined at the time of foaling (T0), and then 4 (T1) and 8 (T2) hours after foaling by refractometry and electrophoresis. The foals' blood IgG levels were measured at T1 and T2 as a routine clinical diagnostic examination using two different commercial test kits (SNAP Foal Ig and Gamma-Check E) and T0, T1 and T2 samples were stored (at -18 °C) for immunoglobulin (Ig) determination by electrophoresis. Differences between the results of refractometry and electrophoresis occurred in 27.8% of the colostrum analyses. Some serum IgG could be detected immediately post partum (T0) in 75% of the foals, and 42.82% of the newborn foals acquired a serum concentration of more than 800 mg/dl IgG within 8 h of birth. Compared to the electrophoresis, the glutaraldehyde test scored better (85%) than the enzyme immunoassay (74%), although both are accurate and safe to use since they clearly distinguish between safe and unsafe IgG concentrations.

Open Access: Yes

DOI: 10.1556/004.2018.051

Universal autonomous robot navigation using quasi optimal path generation

Publication Name: Icara 2009 Proceedings of the 4th International Conference on Autonomous Robots and Agents

Publication Date: 2009-06-05

Volume: Unknown

Issue: Unknown

Page Range: 458-463

Description:

Autonomous robot navigation is an important research field because these robots can solve problems where the human presence is impossible, dangerous, expensive, or uncomfortable. In this paper, a new hybrid autonomous navigation method is introduced. The algorithm is composed of visibility graph based global navigation and simple potential field based local navigation parts. It applies a new automated graph generation method which may become necessary if, because of the observed new obstacles, a new path should be generated. The quasi optimal route is found by applying the well known A* algorithm on the graph. The presented technique offers a quasi optimal universal navigation technique which can successfully be used in all, known, unknown, and dynamically changing environments. ©2009 IEEE.

Open Access: Yes

DOI: 10.1109/ICARA.2000.4804008

Defining daily space use patterns in Hungary: identification of functional urban centres with a multidimensional methodology

Publication Name: Regional Statistics

Publication Date: 2026-01-01

Volume: 16

Issue: 3

Page Range: 521-547

Description:

Some of the literature on catchment areas offers valuable insights into spatial units defined by the various types and functions of urban centres. In addition, a range of functional urban region delineation methodologies contribute significantly to understanding citizens' commuting habits. However, while the former often lacks a complex, multifunctional perspective, the latter typically focuses on labour market areas linked to global megacities. As a result, smaller centres fulfilling a wide range of everyday functions are frequently omitted from regional maps, and they remain hidden in the catchment area of larger cities. This research aims to address these gaps by proposing a method for identifying urban centres on the basis of multidimensional selection criteria. This approach enables the general mapping of their multifunctional catchment areas and their wider functional urban zones. This analysis extends the range of statistics commonly used: in addition to labour market commuting, it includes commuting for general and vocational education, as well as accounting for the accessibility of everyday commercial centres and frequently used urban-level public services. Owing to differing spatial organizing principles, this research highlights that everyday centres take on varied structural forms – justifying a multidimensional mapping approach that is in addition to traditional labour market commuting analyses. Although this study is grounded in the Hungarian context, its multidimensional approach to mapping functional urban catchment areas offers valuable insights and a flexible framework for international research. By integrating a wide range of everyday spatial behaviour indicators, this analysis not only deepens our understanding of urban networks but also provides urban planning and regional development professionals with a robust tool for identifying gaps in public service provision. In doing so, it can help increase access to essential services, particularly for residents in rural areas far from major urban centres, which are typically the focus of the literature.

Open Access: Yes

DOI: 10.15196/RS160304

A systematic design of integrated palm-oil biorefinery networks: Identifying sustainable solutions

Publication Name: Sustainable Production and Consumption

Publication Date: 2023-11-01

Volume: 42

Issue: Unknown

Page Range: 138-157

Description:

This paper presents a comprehensive and systematic analysis of synthesis and design of sustainable palm oil integrated biorefinery networks involving multiple platforms of bioresources for sharing materials, energy, and facilities to obtain a more sustainable solution. There are three main processing platforms consisting of palm oil, palm biomass, and biogas from palm oil mill effluent (POME-biogas). The alternatives are generated from a superstructure of each platform representing different products that can be made and their established processing routes. Utilizations of glycerol, bio-syngas, and CO2, which are by-products of the palm oil, palm biomass, and POME-biogas platforms, respectively, are also considered as three other platforms. Different scenarios of materials, energy, and facility integration among the platforms are analyzed by considering economic benefits together with CO2 emissions, as well as Life Cycle Assessment (LCA), which includes climate change impact and other environmental impact categories. Analyses of the design of the palm oil integrated biorefinery network with multiple process networks and heat integration point to the achievement of more sustainable solutions for production and consumption compared to the scenario of business as usual (BAU). The sustainable palm oil integrated biorefinery network corresponds to economic improvement and CO2 reduction potential as well as satisfying environmental impacts. The analysis results show that the palm oil integrated biorefinery network alternatives can provide high economic potential and less environmental impacts compared to without any integration. The best non-tradeoff solution proposes the integration of palm biomass and POME-biogas platforms for bio-methanol production and the integration of palm oil platform with glycerol production to produce 1,2-propanediol as an additional product. It offers 23.5 million dollars per year of economic value-added benefit with 2.9 years of payback period while also reducing the environmental impacts. Wind power and river water are selected to maximize profitability options for electricity and freshwater supplies, respectively.

Open Access: Yes

DOI: 10.1016/j.spc.2023.09.015

Elasto-Plastic limit analysis of reliability based geometrically nonlinear bi-directional evolutionary topology optimization

Publication Name: Structures

Publication Date: 2021-12-01

Volume: 34

Issue: Unknown

Page Range: 1720-1733

Description:

This paper presents elasto-plastic limit analysis of reliability-based geometrically nonlinear topology optimization. For this purpose, by reason of uncertainties the volume fraction is considered randomly during optimization. Thus reliability-based design has been considered for solving the problems. To perform reliability-based topology optimization design, the Monte-Carlo simulation method has been applied to calculate the probability of failure, thus the reliability index. Besides, bi-directional evolutionary structural optimization (BESO) method is used to consider the effect of geometrically nonlinear design for elasto-plastic analysis. Plastic behavior is controlled by applying a bound on the plastic limit load multipliers using limit analysis. The adequacy of the proposed method is exhibited by three 2D benchmark problems. 2D models of L-shape beam and U-shaped plate are considered for reliability-based design and geometrically nonlinear analysis topology optimization in case of elastic material. Additionally, 2D and 3D elasto-plastic material models have been considered to demonstrate that the proposed method can find the optimal topology of elasto-plastic models for reliability-based design and geometrically nonlinear analysis.

Open Access: Yes

DOI: 10.1016/j.istruc.2021.08.105