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Publications - 6374

Developing legal regulation of forensic DNA-phenotyping in Hungary

Mónika Nogel Andras Czebe Gabor Kovacs Zsolt Pádár

Publication Name: Forensic Science International Genetics Supplement Series

Publication Date: 2019-12-01

Volume: 7

Issue: 1

Page Range: 609-611

Description:

Traditional DNA forensics uses short tandem repeats (STRs) to match a DNA sample to a suspect or a database. However, when no suspect has been identified and there is a lack of database hits, these markers cannot help the investigators to solve a crime. A considerable amount of literature has been published on DNA phenotyping in the past few years. Not surprisingly, some ethical and legal aspects are needed to be discussed about FDP since this technology provides a greater number of details about the proprietary ownership of samples, their family members, even as about their larger community (ethnical group).

Open Access: Yes

DOI: 10.1016/j.fsigss.2019.10.109

Population Genetic Features of Calving Interval of Holstein-Friesian Cows Bred in Hungary

Szabolcs Bene J. Péter Polgár László Bognár Zsolt J. Kőrösi Ferenc Szabó

Publication Name: Animals

Publication Date: 2024-09-01

Volume: 14

Issue: 17

Page Range: Unknown

Description:

Calving interval (CI) data (N = 37,263) from 17,319 cows born 2008–2018 in six herds were assessed. The data were made available by the National Association of Hungarian Holstein Friesian Breeders in Hungary. The effects of some genetic and environmental factors, population genetic parameters, breeding value (BV) of sires, and phenotypic and genetic trends of the CI were estimated. The GLM method was used for studying different effects on the CI. BLUP animal model was used for heritability (h2) and BV estimation. Linear regression analyses were applied for the trend calculation. The mean of the CI was 412.2 ± 2.0 days. The h2 of the CI proved to be low (0.07 ± 0.01 and 0.08 ± 0.01). There were relatively high differences among the sires in the estimated BV. Based on the phenotypic trend calculation, the CI of cows showed decreasing direction by an average of 1.80 days per year (R2 = 0.94; p < 0.01). In the case of genetic trend calculation, the average BV of sires in the CI has decreased −4.94 and −0.31 days per year (R2 = 0.91 and 0.41; p < 0.01).

Open Access: Yes

DOI: 10.3390/ani14172513

Industry 4.0 in Germany, Austria and Hungary: Interpretation, strategies and readiness models

Andreas Schumacher Ádám Szaller Tamás Várgedő Gábor Nick Viola Gallina

Publication Name: 16th Imeko Tc10 Conference 2019 Amp Amp Amp Amp Amp Quot Testing Diagnostics and Inspection as A Comprehensive Value Chain for Quality and Safety Amp Amp Amp Amp Amp Quot

Publication Date: 2019-01-01

Volume: Unknown

Issue: Unknown

Page Range: 71-76

Description:

Global economy increasingly responds to trends of industrial digitization and start to develop their own digitalization strategies e.i. through application of Industry 4.0 concepts. Thereby, initiatives and developments are often carried out on a company-, industry- or country-level, which can result in a lack of international co-operation and utilization of synergy-effects. To analyse the Industry 4.0 development status on a macro level and to enhance transnational developments, in the first part of this study we introduce the national Industry 4.0 platforms of three EU member states – the frontrunner Germany, the solidly rising Austria and Hungary that is in the process of catching up. Our analysis are carried out in four dimensions: economic background, country-specific Industry 4.0 interpretation, and local platforms as well as initiatives. To analyse the actual Industry 4.0 development status of industrial enterprises and of development platforms, existing Industry 4.0 maturity models form all three countries are presented and compared. Our analysis helped to capture the different phases of digitization and Industry 4.0 in Germany, Austria and Hungary in regard to defined goals and strategies and further of resulting problems with respect to Industry 4.0. Building on our comparison-studies and captured problems, decision makers should be enabled to carry out transnational Industry 4.0 projects and initiatives more effectively.

Open Access: Yes

DOI: DOI not available

Some remarks on comparing microgeometrical profiles and the application of replicas in microgeometrical measurements

Levente Solecki Szilvia Nagy

Publication Name: Surface Topography Metrology and Properties

Publication Date: 2018-09-25

Volume: 6

Issue: 4

Page Range: Unknown

Description:

First a method for comparing profiles given in the following considerations. The profile comparisons have to be carried out in such position, that their average distance should be the smallest possible. Helmert transform is used for fitting measured points sets to one another in geodesy so that the least square distance of the measured points would be the smallest. However, for Helmert transform corresponding point pairs are to be found, i.e. for each point of one of the profiles has to be found a nearest one on the other profile. Multiple approaches are studied for finding corresponding point to a measured point in a point set. The effectiveness of the Helmert transform and the results of profile comparison are given for profiles of rounded triangle wave shaped regular roughness standards in the most used mechanical roughness range taken by contact stylus and confocal white light optical scanner. As an application, a method for qualifying replica materials is also presented. Our method uses roughness standards of at least three different roughnesses and takes replicas of them. The inverted scanned profiles of the replicas are compared with the scanned profiles of the original surfaces. The comparison uses Helmert transform to fit the two corresponding profiles. The average distance of one of the profile point sets from the other one is calculated by determining the distance of all the points in one profile from the circles given by their three nearest measured points in the other profile. The method is also used for comparing the less noisy stylus scans and the more sensitive optical scans of the original surface in order to determine, whether the noise in the replica scans are due to the replica taking process or to the scanning.

Open Access: Yes

DOI: 10.1088/2051-672X/aadf53

Kalman filter for mobile-robot attitude estimation: Novel optimized and adaptive solutions

Péter Odry Akos Odry Imre J. Rudas Robert Fuller

Publication Name: Mechanical Systems and Signal Processing

Publication Date: 2018-09-15

Volume: 110

Issue: Unknown

Page Range: 569-589

Description:

This paper proposes two novel approaches to estimate accurately mobile robot attitudes based on the fusion of low-cost accelerometers and gyroscopes. The first part of the paper demonstrates the use of a special test bench that both enables simulations of various dynamic behaviors of wheeled robots and measures their real attitude angles along with the raw sensor data. These measurements are applied in a simulation environment and we outline an offline optimization of Kalman filter parameters. The second part of the paper introduces a novel adaptive Kalman filter structure that modifies the noise covariance values according to the system dynamics. The instantaneous dynamics are characterized regarding the magnitudes of both the instantaneous vibration and the external acceleration. The proposed adaptive solution measures these magnitudes and utilizes fuzzy-logic to modify the filter parameters in real time. The results show that the adaptive filter improves the overall filter convergence by a remarkable 10.9% over using the optimized Kalman filter, thereby demonstrating its efficacy as an accurate and robust attitude filter. The proposed filter performances are also benchmarked against other common methods indicating that the flexibility of the developed adaptive filter allowed it to compete and even outperform the benchmark filters.

Open Access: Yes

DOI: 10.1016/j.ymssp.2018.03.053

Holistic evaluation of energy transition technology investments using an integrated recommender system and artificial intelligence-based fuzzy decision-making approach

Dragan Pamucar Hasan Dincer Muhammet Deveci Ümit Hacioglu Serhat Yuksel Serkan Eti

Publication Name: Results in Engineering

Publication Date: 2024-09-01

Volume: 23

Issue: Unknown

Page Range: Unknown

Description:

The most essential criteria should be determined in the selection of the suitable energy transition technologies due to budget deficit problem. Therefore, it is necessary to identify the most important criteria in energy transition technology selection. Therefore, a new study is needed to determine the most prominent issues in the correct selection of energy transition technologies. The purpose of this study is to identify the most appropriate energy transition technology alternative. Within this framework, a novel artificial intelligence (AI)-based fuzzy decision-making model has been presented. In the first part, the experts are prioritized by the help of AI methodology. In the next section, missing evaluations of energy transition technology investments are estimated via expert recommender system. Thirdly, the weights of the criteria for energy transition technology selection are computed by quantum picture fuzzy rough sets (QPFR) M-Stepwise Weight Assessment Ratio Analysis (SWARA). At the final stage, selected energy transition technology alternatives are ranked via QPFR-Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). The main contribution of this study is the integration of AI technique to the proposed model. Similar to this issue, using M-SWARA methodology in the process of criteria weighting increases the quality of the findings. This methodology helps to consider the impact relation map of the criteria. The findings demonstrate that the most important factor is cost-effectiveness of energy transition. Similarly, it is also found that the local ecosystem is the second most significant issue. On the other side, the ranking results denote that compact renewable systems for small scale production is the most optimal solution of energy transition technology alternatives.

Open Access: Yes

DOI: 10.1016/j.rineng.2024.102806

Comparative Study of the Mechanical Behavior of Concrete Railway Sleeper Mix Design, using Waste Rubber and Glass Materials

Szabolcs Fischer Guoqing Jing Farshad Astaraki Mohammad Siahkouhi Majid Movahedi Rad Chunchao Li

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 6

Page Range: 213-224

Description:

Waste rubber tires and glass powders, are hazardous materials for the environment. One of the methods to consume them, is their application in railway engineering projects. Rubber and glass materials, in this research, are provided from waste tires and glass bottles. Therefore, a modification is conducted to the concrete railway sleeper mix design, incorporated with waste rubber (R) and glass powder (GP). Three mechanical tests, including compressive, flexural and tensile splitting, have been studied on rubber and glass powder concrete specimens. Three different percentages of 5%, 10% and 15% by cement weight, for GP and by fine aggregate volume for R, are investigated herein. The results show that GP concrete has a better performance over the rubber concrete (RC), but lower than Ref. specimens. 5%GP as the best mix design, has compressive, flexural and tensile strengths of 45.4 MPa, 7.5 MPa and 5.82 MPa, respectively. Moreover, these strengths, for compressive and flexural, of 5%GP are about 24% and 6% lower than the Ref. strengths, respectively, while, tensile splitting strength is almost 14% higher than Ref. strength.

Open Access: Yes

DOI: DOI not available

Are Corporate Energy Saving Measures Effective? - Lessons from a Small Sample Analysis in Hungary

Eszter Szemerédi László Jóna

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 397-402

Description:

The European Union has set a climate neutrality goal that requires all member countries to reduce their energy consumption. In 2021, businesses accounted for approximately one-quarter of the EU's energy consumption therefore, they play a significant role in its reduction. Hungary has taken steps to encourage companies to improve their energy efficiency, mandating large consumer companies to perform annual energy audits and publish their results. Our research focuses on the results of energy efficiency measures implemented by these large consumer companies. Based on online energy reports that were readily available, we analysed the energy performance of companies with more than 1,000 employees between 2017 and 2021. Data narrowing resulted in a sample of 24 companies that are not considered representative, but their analysis indicates that low-cost employee awareness-raising and lighting upgrades were the most used efficiency measures. Results show that energy savings resulting from lighting modernisation ranged from 11 to 844 GJ per year, while savings from cooling/heating modernisation ranged from 4,7 to 47,000 GJ per year. By modernising building systems such as ventilation, the studied companies achieved energy savings ranging from 10 to 403 GJ. The annual energy savings achieved through production modernisation ranged from 972 to 510,435 GJ. Due to the inconsistencies in the data, our analysis also highlighted the importance of stricter monitoring and establishing a database of energy consumption data from companies performing annual audits.

Open Access: Yes

DOI: 10.3303/CET23107067

Comparison of various high-frequency models of RF chip inductors

Miklós Kuczmann Péter Csurgai

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2011-01-01

Volume: 87

Issue: 3

Page Range: 25-28

Description:

RF chip inductors are the most widely used inductors. Due to the miniaturization the continuous improvement of the electrical parameters are highly requested. This demand of the improvement makes the accurate electrical model of the inductors essential. The purpose of the paper is to present an evaluation and comparison of the currently available methods for calculating the inductor behaviour in frequency domain using analytic formulas, finite element simulations, and real measurements on market available RF chip inductors.

Open Access: Yes

DOI: DOI not available