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Found 6327 publications

Sustainable levee construction along the Danube River

Edina Koch M. Marchi R. P. Ray L. Tonni

Publication Name: Proceedings of the International Congress on Environmental Geotechnics

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 399-408

Description:

Nowadays' changing weather conditions and the resulting increasing flood levels make flood protection improvement essential. In Hungary, in the Szigetköz floodplain area, a complex water resources management unit of the Upper part of the Danube River, the rehabilitation of the water levels, and the setting back of the settled low and middle water levels had become necessary. It has been achieved by relocating the estuary of the Mosoni-Danube River and constructing a complex water control structure. A new ~1.5 km long levee connects to the structure. Due to a large volume of fine-grained blanket material on the site, the possibility arose to build a section of the levee using the blanket material without applying a cut-off wall to prevent water flow through the levee. The geotechnical parameters of the available local material were based on a complex site investigation program. According to the results of the field and laboratory tests, the blanket layer was suitable as fill material and could be compacted to the required 90% degree of compaction using standard machinery and procedures. Plaxis 2D software using fully coupled flow-deformation analysis, imitating the previously registered flood waves, modeled seepage and stability behaviour to evaluate the ultimate limit states of the levee constructed from the blanket material. The analysis proved the adequacy of the blanket material, avoiding the necessity for a barrier within the embankment. The use of local blanket material as fill eliminated the need to excavate and transport additional material, reducing environmental impact, shortening construction time, and saving costs on the project.

Open Access: Yes

DOI: 10.53243/ICEG2023-396

Application of the FUCOM-FUZZY MAIRCA Model in Human Resource Management

Boris Delibašić Dragan Pamucar Darko Božanić Boglárka Eisingerné Balassa Duško Tešić Ranko Lojić

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2023-01-01

Volume: 20

Issue: 3

Page Range: 231-249

Description:

The paper presents the FUCOM-FMAIRCA MCDM model for application in human resource management. The proposed model allows the inclusion of all relevant stakeholders in the process of human resource selection, enhances the pool of scientific knowledge in the field of human resource management highlighting selection as a special activity, and uses modern quantitative (mathematical) decision-making methods. Based on the analysis of personality traits of teachers and literature related to this field, the necessary characteristics of teachers of the Military Academy are presented, on the basis of which the selection criteria are formed. The FUCOM method was used to define the weight coefficients of the defined criteria. In order to more precisely determine the qualitative properties and their quantification, triangular fuzzy numbers were implemented in the MAIRCA method, and by applying all the steps of this method, the ranking of alternatives was performed. Finally, in order to test the validity of the model, a sensitivity analysis was carried out.

Open Access: Yes

DOI: 10.12700/APH.20.3.2023.3.14

Improved Hybrid Model to Text Detection by Using k-means and mser-swt with CNN

Ibrahim Alameri Naseer Al-Imareen Aymen Adil Fatimah Ihsan Abdulsahib

Publication Name: International Conference on Electrical Computer Communications and Mechatronics Engineering Iceccme 2023

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Detection of textual data from scene text images is a very thought-provoking issue in computer graphics and visualization. The challenges of text detection come from the nature of images used to detect text from them. The technology proposed is comprised of three main stages: Blurring, transformation to the frequency domain, and de-blurring in the frequency domain as preprocessing procedures; a proposed hybrid model for text detection using k-means clustering and text bounding boxes is used, and (CNN) framework used to classify into textual and non-textual regions. We used the Stroke Width Technique (SWT) when increasing the value of k by analyzing the width of the strokes in the image and thus reducing the potential textual regions resulting from the MSER, which leads to reducing the time and increasing the accuracy of detection, a convolutional neural network (CNN) algorithm is used to perform a classification of all bounding boxes. For the suggested technique's evaluation, results are collected on three popular datasets, including SVT, IIIT5K, ICDAR 2013, and ICDAR 2015. The datasets for SVT, IIIT5K, ICDAR 2013, and ICDAR 2015 each have classification results of 87.41.

Open Access: Yes

DOI: 10.1109/ICECCME57830.2023.10252377

Environment Protection - Monument Preservation

András Veöreös

Publication Name: Epites Epiteszettudomany

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The preservation of existing buildings is desirable not only for the purpose of saving architectural values, but equally important is that it is an environmentally friendly-environmentally conscious activity as well, since by renovating existing houses less waste is generated, the environmental impact from transport decreases, the material and energy invested in the structures already built do not get lost and no additional energy is needed for demolition.

Open Access: Yes

DOI: 10.1556/096.2023.00081

The Significance of Data Integration in Geotechnical Engineering: Mitigating Risks and Enhancing Damage Assessment of Expansive Soils

Ammar N. Alnmr R. P. Ray

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 541-546

Description:

Geotechnical Engineering is a data-driven specialty that models the behavior of soil and rock as engineering materials. Due to their nature, however, much effort is directed toward defining the material properties and extent of various soil and rock on a site (buildings, bridges, dams) or region (transportation infrastructure). The great extent and variability of soil as an engineering material have led to the development of material, field exploration, and laboratory testing databases. Some have become national in scope, while others have expanded along specialist lines (e.g., earthquakes, landslides). This paper presents a typical application that investigates the impact of swelling clays and discusses its integration into the BENIP framework, with an emphasis on its role in advancing sustainability in geotechnical engineering. The study employs artificial neural networks as a modeling tool to predict crucial parameters such as dry density and in-situ confining stress, which directly influence volumetric changes in the soil. By minimizing these changes, potential damage associated with swelling clays, including ground movement, foundation deterioration, and infrastructure instability, can be mitigated. The results of the study exhibit promising outcomes, signifying the potential effectiveness of the proposed neural network models in promoting sustainability in geotechnical engineering.

Open Access: Yes

DOI: 10.3303/CET23107091

The Concept of BENIP – Built Environment Information Platform

Balazs Horvath János Szép Attila Borsos

Publication Name: Infocommunications Journal

Publication Date: 2023-01-01

Volume: 2023

Issue: Unknown

Page Range: 29-34

Description:

The built environment and its components require a continuous and uninterrupted flow of information between its various players. In this paper a conceptual framework is proposed describing the role of these players as well as the nature of the links between them. The authors introduce a new term, a conceptual framework which can be used as a platform called BENIP (Built ENvironment Information Platform).

Open Access: Yes

DOI: 10.36244/ICJ.2023.SI-IODCR.5

Frame Design Using Nonprismatic Members – Satisfying the Need for Speed

B. Vaszilievits-Sömjén J. Szalai Donald W. White

Publication Name: Proceedings of the Annual Stability Conference Structural Stability Research Council Ssrc 2023

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper discusses a combination of best practices and procedures from recent work in Europe and the US, providing rational and economical calculations addressing the complexities associated with frame design using nonprismatic members. Recommendations are provided in the context of US design practice. A primary objective is to achieve maximum simplicity, transparency, and design speed while facilitating rigor of the underlying calculations. The paper provides several focused examples illustrating the recommended design verification procedures.

Open Access: Yes

DOI: DOI not available

Tejsavbaktérium-izolátumok egyes probiotikus tulajdonságainak in vitro vizsgálata

Judit Süle Zoltán Hatvan Z. Kerényi László Varga

Publication Name: Elelmiszervizsgalati Kozlemenyek

Publication Date: 2023-01-01

Volume: 69

Issue: 1

Page Range: 4337-4349

Description:

No description provided

Open Access: Yes

DOI: 10.52091/EVIK-2023/1-2-HUN

Green Generation(s): the Generational Peculiarities of the Environmental Attitude

Nikolett Gyurián Nagy Nikolett Gyurián Nagy

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 199-204

Description:

Making consumption sustainable has become indispensable nowadays and is a necessary step in development. Several studies are dealing with the environmental attitude of consumers. Scientists are interested in the generational differences as well. However, there is still a gap that proves the difference between generations. More studies have examined how age affects environmental values. For example, this topic was examined in 6 countries between 1991 and 2017 in the framework of the European Values Study (EVS). Nowadays, generation Z may be regarded as the most environment-conscious. On the other hand, different results also came to light, which proves that however apparent the environmental efforts of generations Z and Y are, they still do not occupy the first rank in reducing the ecological footprint. The aim of the study is that based on a sample consisting of 2224 Hungarian people, an answer can be given to the question of whether age can really determine environmental attitude and whether generational differences occur in „thinking green”. The focus of the study is the wide-range examination of the environmental attitude. The basis of the study is, for example, socially conscious consumer behaviour and ecologically conscious consumer behaviour. Besides this, such background factors also appear in the study, which may affect the attitude and behaviour, such as optimism, pessimism, motives and other influencing factors.

Open Access: Yes

DOI: 10.3303/CET23107034