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Publications - 6342

Potential of Point Cloud Upsampling for Environmental Protection: Enhancing Airborne LiDAR Data for Sustainable Resource Management

Katalin Kozma Szeverin Oláh Árpád Barsi

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 91-96

Description:

High-resolution, dynamic geospatial data support sustainable infrastructure, optimize urban services, and improve the quality of life of residents. Airborne Laser Scanning is an increasingly popular remote sensing technology that can be used to collect very large datasets of 3D point clouds over extensive areas, including forests, river basins, coastal wetlands, and mountainous regions. These datasets facilitate the analysis of vegetation structure, biomass estimation, hydrological modeling, and land cover detection or change monitoring. However, Airborne Laser Scanning-derived point clouds are typically limited to low density and spatial resolution, which preclude meaningful analysis for fine-scale ecological and environmental modeling. Point cloud upsampling is a permissible way to augment the spatial robustness of Airborne Laser Scanning point cloud data, and does so without adding a logistical burden of the data acquisition in the field, or the need to resurvey at high costs and time. Upsampling is synthetic in nature, achieving increased data point count, but maintaining dimensional integrity for continuity of surfaces and geometric fidelity, which is essential in methodologies that intervene for derived products such as digital terrain models, canopy height models, and vegetation metrics. This manuscript examines using point cloud upsampling as part of environmental monitoring. It reviews the upsampling algorithms that have been developed to date, synthesizes existing methods, and considers their relevance to the state of practice in forestry, watershed management, and conservation planning. The work considers and focuses on methodological bases for robustness and dimensionality, and although considerably nuanced, the methodological efficacy is subtended and suggests how enhanced points improve outcomes for ecological models and the information provided supports resource management decisions related to resource and sustainability decisions.. Ultimately and conclusively, the work establishes the understanding of point cloud enhancement for its visualization, but also its potential as an emergent action that contributes to construction and promotes a sustainability intention in environmental science and policy. This article appears as a mini-review. This writing aims to synthesise existing knowledge and conceptual strategies, rather than a novel outcome of an experiment. It is written to give an overview of existing methods and structured conceptual frameworks for employing point cloud upsampling techniques in the environmental monitoring and sustainability context. The review reiterates the conceptual soundness of point cloud upsampling in the workflow of environmental monitoring. The proposed framework reinforces the benefits of greater data richness and decision-making based on sustainability, without assuming new costs for data generation.

Open Access: Yes

DOI: 10.3303/CET25121016

Cogging Torque Analysis of Toyota Prius 2004 IPMSM Motor with the Digital-Twin-Distiller

Mihaly Katona Péter Kiss Tamas Orosz Krisztián Gadó

Publication Name: Lecture Notes in Mechanical Engineering

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 126-138

Description:

With the recent advancements of the fourth industrial revolution, many sensors are implemented into the products that collect the data and monitor their performance. The measurement data can be stored with the numerical models as a digital twin, and these can serve as a virtual replica of a physical object or process. These digital twins can improve the design and optimization process. The paper uses an open-source tool, the Digital-Twin-Distiller, which can encapsulate the realized finite element analysis of a model into a web application, which can be integrated easily into an optimization chain or any other business process. The paper proposes a numerical model and cogging torque analysis of an interior permanent magnet synchronous machine. The paper examines the effect of two parameters of the magnet groove shape on the cogging torque of the Prius 2004 motor model. It was found that the cogging torque of the motor is highly dependent on the shape of the flux barrier, even with minor changes. On the other hand, the wedge between the two magnets does not affect cogging torque much.

Open Access: Yes

DOI: 10.1007/978-3-031-15211-5_11

Evaluating the effectiveness of public finance used for social protection of internally displaced persons

Yuriy Bilan Halyna Mishchuk Natalia Samoliuk Halyna Yurchyk

Publication Name: Public and Municipal Finance

Publication Date: 2025-01-01

Volume: 14

Issue: 1

Page Range: 23-40

Description:

The increasing number of internally displaced persons (IDPs) in wartime Ukraine leads to growing problems in social protection funding. Under these circumstances, the evaluation of the effectiveness of public finance use is of increasing importance. The study aims to evaluate the effectiveness of public finance for internally displaced persons’ social protection, adapting the KPI methodology for analysis on the national level. The effectiveness is considered following the OECD approach as the extent to which the intervention achieved its objectives and results. At macrolevel of research, the integral indicator was developed based on indicators of input (financing of social protection programs), output (involvement of IDPs in social programs), activity (funding per recipient and multiplicative effect in GDP growth), mechanism (administrative costs for achieving results), and control (effectiveness of IDPs’ social protection compared to other demographic groups). Thirty indicators in total were used (e.g., budgetary funding allocated for housing assistance; budget expenditures on staff salaries of the authorities responsible for certain programs; coverage rate of unemployed IDPs receiving vocational training). The essential distance from the maximum level of expected results (1.0) allows concluding the low effectiveness in this area of public finance use: from 0.330 in 2020 to 0.668 in 2023. Gaps are evident in each direction, especially in input performance (the highest value did not exceed 0.370). The best results were achieved in housing funding and employment governance. The proposed approach is useful for analyzing gaps and identifying opportunities to improve the management of other social programs.

Open Access: Yes

DOI: 10.21511/pmf.14(1).2025.03

Description of Leonardiella seychellensis sp. nov. from Seychelles Islands (Acari: Mesostigmata: Trachyuropodidae), with notes on Uropodina mites of the islands of East Africa

Sergey G. Ermilov Jenő Kontschán

Publication Name: Ecologica Montenegrina

Publication Date: 2025-01-01

Volume: 81

Issue: Unknown

Page Range: 63-71

Description:

Leonardiella seychellensis sp. nov. is described based on three females and one male collected from Praslin in a mixed soil and decaying wood sample. The new species differs from the congeners in the shape and sculptural pattern of the female genital shield and the shape of the strongly sclerotized grooves on the dorsal shield. The species presented from East African islands (Mauritius, Reunion, Comoros, and Madagascar) are also listed and discussed.

Open Access: Yes

DOI: 10.37828/em.2025.81.8

On possibilistic dependencies: A short survey of recent developments

István Harmati Robert Fullér

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2018-01-01

Volume: 360

Issue: Unknown

Page Range: 261-273

Description:

Carlsson and Fullér introduced the notions of possibilistic mean value and variance of fuzzy numbers. Fullér and Majlender introduced a measure of possibilistic covariance between marginal distributions of a joint possibility distribution as the average value of the interactivity relation between the level sets of its marginal distributions. Fullér et al. introduced the possibilistic correlation ratio, the possibilistic correlation coefficient and the possibilistic informational coefficient of correlation. In this paper we give a short survey of some later works which extend and develop these notions.

Open Access: Yes

DOI: 10.1007/978-3-319-64286-4_16

Test on railway vehicle-runway dynamic system for stress analysis of a carriage's body

Emil Halmos László Bozóky Vince Nagy Zoltan Varga

Publication Name: Proceedings of the Mini Conference on Vehicle System Dynamics Identification and Anomalies

Publication Date: 1998-12-01

Volume: Unknown

Issue: Unknown

Page Range: 115-122

Description:

Damages at vehicle bodies required an analysis to qualify the vehicle-runway system. The aim of the analysis is to declare critical effects and show the possible and necessary measurements. The running tests on the vehicle had many objects. Effects of waveform could be seen in the spectral density functions for vehicles running on runway with waved rail wearing. Effects of waveforms were found to be little on the mechanical stresses of vehicle body. The curve of the runway has major effect on the values of the mechanical stresses.

Open Access: Yes

DOI: DOI not available

Energy Storage System Selection by Using Complex Intuitionistic Fuzzy Rough MCDM Technique Based on Schweizer-Sklar Operators

Dragan Pamucar Tahir Mahmood Ubaid Ur Rehman Ahmad Idrees Ubaid Ur Rehman Ubaid Ur Rehman Ubaid Ur Rehman

Publication Name: Contemporary Mathematics Singapore

Publication Date: 2025-01-01

Volume: 6

Issue: 5

Page Range: 7011-7040

Description:

Energy Storage System (ESS) is a talented solution to overcome the intermittency (that they do not produce energy all the time) and demand-supply misalliance problems in different renewable energy systems. Selecting the most optimal ESS requires the consideration of different conflicting criteria under uncertainty. This study presents a novel Multi-Criteria Decision-Making (MCDM) framework based on Complex Intuitionistic Fuzzy Rough Sets (CIFRSs) and Schweizer-Sklar aggregation operators to facilitate a more comprehensive and flexible ESS selection process. Specifically, we develop new aggregation operators namely, the Complex Intuitionistic Fuzzy Rough (CIFR) Schweizer-Sklar weighted average and the CIFR Schweizer-Sklar weighted geometric operators to model imprecise, vague, and inconsistent information. CIFR-MCDM methodology captures the intuitionistic, roughness and extra related fuzzy information in one structure. A case study is performed to illustrate the applicability of the suggested method in ranking different ESS alternatives. Comparative analysis with existing approaches confirms the robustness and effectiveness of the proposed framework in handling complex decision environments. The results highlight the potential of the CIFR-MCDM methodology to support informed and reliable ESS selection in renewable energy applications.

Open Access: Yes

DOI: 10.37256/cm.6520257242

Current Issues in Effective Learning: Methodological and Technological Challenges and Opportunities Based on Modern ICT and Artificial Intelligence

Eniko Nagy Gyorgy Molnar

Publication Name: Eai Springer Innovations in Communication and Computing

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-11

Description:

Today, the discourse around the current issues of effective learning is increasingly centred on modern information and communication technologies (ICT) and artificial intelligence (AI)-based methodological and technological solutions. ICT tools, such as online learning platforms, virtual classrooms and digital textbooks, have significantly transformed the educational environment, providing opportunities for personalised learning and remote access. In addition, AI-based applications, such as student performance analysis and curriculum customisation, are opening up new horizons in education. AI can create adaptive learning systems that continuously adapt to the needs and progress of students, thus increasing the effectiveness of learning. But these new technologies and methods also bring with them a number of challenges. One major challenge is digital inequality, as not all students have access to ICT tools and the Internet. Furthermore, educators need to continuously develop their digital competences to keep up with technological developments and effectively integrate new methods into teaching. There are also ethical issues, in particular data protection and student privacy. New opportunities include the use of learning analytics to help educators better understand learning processes and identify areas where students need help. Interactive and gamified learning materials developed with the help of AI can make learning more motivating and enjoyable, thereby increasing student engagement. Overall, the integration of modern ICT and AI-based methods and technologies into education offers significant benefits, but their successful implementation requires adequate infrastructural support, continuous training for teachers and digital access for students. This article provides a brief summary of all these phenomena, trends, opportunities and good practices.

Open Access: Yes

DOI: 10.1007/978-3-031-81261-3_1

Using the Newton-Raphson method in the polarization technique to solve nonlinear static magnetic field problems

Miklos Kuczmann

Publication Name: IEEE Transactions on Magnetics

Publication Date: 2010-03-01

Volume: 46

Issue: 3 PART 2

Page Range: 875-879

Description:

The paper presents and compares three potential formulations to solve nonlinear static magnetic field problems by applying the fixed point technique and the Newton-Raphson scheme. Nonlinear characteristics are handled by the polarization method in both algorithms. The proposed combination of the Newton-Raphson scheme and the polarization formulation results in a very effective nonlinear solver, because only the derivate of the characteristics, i.e., only the permeability or the reluctivity has to be used. Therefore, this method can be used to solve nonlinear problems with hysteresis, and it is faster than the classical fixed point method. © 2010 IEEE.

Open Access: Yes

DOI: 10.1109/TMAG.2009.2034260