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Found 6327 publications

Novel Methods of FCM Model Reduction

Miklós F. Hatwágner Ĺaszĺo T. Ḱoczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2022-01-01

Volume: 955

Issue: Unknown

Page Range: 101-112

Description:

Fuzzy Cognitive Maps are widely applied to support decision making tasks. It is often hard for experts to create the model of a system that provides the required accuracy but simple enough to easily use in practice. In general, it is better to create complex models first, because they can be computationally reduced later until they preserve the required accuracy but become simple enough. Two novel Fuzzy Cognitive Map reduction methods based on K-Means and Fuzzy C-Means clustering are suggested in order to generate simplified models that hopefully mimic the behavior of the original model better than the already existing methods. After the quick overview of the existing techniques found in literature, a simple and a complex model of a real-life problem are reduced to varying degrees with the suggested new methods and with an existing one. The first results of the comparison are published in this paper, too.

Open Access: Yes

DOI: 10.1007/978-3-030-88817-6_12

Investigation of deformations of a lithium polymer cell using the Digital Image Correlation Method (DICM)

Szabolcs Fischer Szabolcs Szalai Dóra Harangozó Szabolcs Szurke Kocsis

Publication Name: Reports in Mechanical Engineering

Publication Date: 2022-01-01

Volume: 3

Issue: 1

Page Range: 116-134

Description:

This research aims to investigate the adaptability of a measurement system or a process in determining the parameters of batteries. Methods are suggested for different applications, and properties gained by these measurements are specified. Deformations of lithium polymer batteries measured by various methodologies are also analyzed in detail. Changes in the geometry of worn-out batteries and the localization of the changes can be better understood by applying the results. The GOM ATOS and the GOM ARAMIS systems were applied to characterize lithium polymer batteries. Discontinuous tests were performed and the battery was discharged to 0 V and then fully charged for both methods. The advantages and disadvantages and the applicability of the two measurement systems were analyzed in this topic.

Open Access: Yes

DOI: 10.31181/rme20008022022s

Possible Applications of Quantum Computing, Especially in Vehicle Technology: A Review Article

Dániel Feszty István Lakatos Ferenc Ignácz Ferenc Ignácz

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2022-01-01

Volume: 50

Issue: 3

Page Range: 245-251

Description:

Given the current trend in the development of quantum computing, it can be expected that it will revolutionize many areas of science, including vehicle technology. In this review, we present the current research results of quantum computing technology and its possible application potential in the field of vehicle technology and structural simulation. In addition, we provide an overview of the current challenges, difficulties, and future of quantum computing.

Open Access: Yes

DOI: 10.3311/PPTR.16547

Digital Twin of Drone-based Protection of Agricultural Areas

Áron Ballagi Csaba Hajdu A. J. Kovács János Hollósi Gergely Teschner Norbert Boros

Publication Name: 2022 IEEE 1st International Conference on Internet of Digital Reality Iod 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 99-104

Description:

Protecting agricultural fields, like crops, vineyards, and husbandry areas, has been a difficult challenge since historical times. Classical methods to prevent intrusion are often destructive to wild and domestic animals alike. Even more current nondestructive systems, like camera-based systems are attributed to specific problems related to environmental or technological issues. Furthermore, verifying the effectiveness of installed systems is difficult, as the triggering situations are unmanageable and typically occur unsupervised. This paper presents a complex vision-based intrusion detection system to overcome these problems and further proposes more extensive control and flexibility on the development process. The solution provides a workflow integrating Digital Reality methods into the system development by creating a digital twin of the drone and its surrounding environment in a general-purpose robotic simulator. With this simulation, the triggering events and environmental effects can be easily emulated, such as a wild animal entering the area of interest. The solution also focuses on incorporating new 5G info-communication networks on handling communication between the intrusion detection system and the base station in a distributed manner.

Open Access: Yes

DOI: 10.1109/IoD55468.2022.9986763

Pile optimization in slope stabilization by 2D and 3D numerical analyses

Majid Movahedi Rad M. Amine Benmebarek R. P. Ray Sadok Benmebarek

Publication Name: International Journal of Geotechnical Engineering

Publication Date: 2022-01-01

Volume: 16

Issue: 2

Page Range: 211-224

Description:

In this paper, numerical computations using PLAXIS 2D and 3D have been conducted to optimize a row of piles in cohesive-frictional slope stabilization. First, 2D parametric studies were performed to identify both the optimal location and length of the pile as well as the effect of pile head conditions. Next, more rigorous parametric studies taking account of the exact geometry was carried out using 3D analyses. According to the obtained results, the fixed pile head located at the slope middle better improves the stability and reduces the optimal length of the pile. Piles with free head contribute marginally to the increased factor of safety of cohesive-frictional slope. In 3D analyses, it is shown that spacing ratio beyond S/D = 4 (S: pile spacing, D: diameter of the pile), the soil will flow between piles leading to a total vanish of the arching effect when S/D exceeds 12. Comparing the results, the limitation of 2D analysis for piled cohesive-frictional slope is highlighted.

Open Access: Yes

DOI: 10.1080/19386362.2021.1972628

MEASURING AGE-DEPENDENCE OF COLOUR AFTERIMAGE PERCEPTION

Lorinc Garai András Horváth

Publication Name: Light and Engineering

Publication Date: 2022-01-01

Volume: 30

Issue: 2

Page Range: 70-81

Description:

Afterimages are common and frequent perceptual phenomena of everyday life. A typical appearance is the negative “ghost” image of a bright light source when we turn away from it. In the case of significant colour contrast, the afterimage can be coloured. The perceived false image’s strength decreases gradually and completely disappears in a (10–100) s timescale. The underlying processes have multiple components: a quick adaptation on the retinal level, and a slower adaptation on the neural level. Several studies discuss these mechanisms, but there are still important questions to be answered. In our research, we apply the top-level, black-box style approach: instead of focusing on the inner details, we ask human test subjects to test and measure the duration and “strength score” of the same light-transitions. Our goal is to find the main features that affect the duration and subjective strength of the colour afterimages. Specifically, we examine whether the age and gender of the test subjects or the colourimetry parameters affect these parameters. Two set of experiments were performed: colour-colour transitions with 41 and colour-grey transitions with 16 test subjects between 19 and 62. We found that gender has no measurable influence, but age makes a difference in high significance. Both experiment types confirmed that over 40 years the average duration of colour afterimages decreases.

Open Access: Yes

DOI: 10.33383/2021-061

WHY LEADERS ARE IMPORTANT FOR CROSS-FUNCTIONAL TEAMS: MODERATING ROLE OF SUPPORTIVE LEADERSHIP ON KNOWLEDGE HIDING

Gábor Szábo-Szentgróti Anh Don Ton Laszlo Hammerl Oliver Kremer Dennis Weber

Publication Name: Problems and Perspectives in Management

Publication Date: 2022-01-01

Volume: 20

Issue: 3

Page Range: 178-191

Description:

Knowledge exchange has been a critical factor for cross-functional teams to master different tasks and problems and promote innovation. Cross-functional teams rely on the direct cooperation of senior employees from different departments, often with converging aims, leadership, culture, and communication. However, with the ever-increasing complexity in business decisions, decision-makers invested in the manufacturing industry sector need the support of a diverse team as an advisory tool to put well-thought measures into effect. The aim of this study is to analyze how cross-functional teams in commerce and industry rely on different key performance indicators to limit knowledge hiding. This paper conducted a quantitative study of 130 individual participants working in cross-functional teams in Germany. It also adapted multiple linear regression and used a conceptual model impacting the relationship between team performance, trust, and organizational citizenship behavior, including the moderating role of leadership. The disruptive effect of knowledge hiding was contextualized. The results indicate that team performance is directly affected by the selected variables. Furthermore, it is limited to knowledge hiding, while trust and the use of adequate leadership help to retain knowledge retention. Lastly, organizational citizenship behavior was found as the paramount factor, supported by individually tailored leadership methods, to foster information exchange and thereby promote organization-wide learning.

Open Access: Yes

DOI: 10.21511/ppm.20(3).2022.15

Maximizing the Capacity Utilization of Selective Waste Collection Vehicles

István Lakatos Ádám Titrik

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 7

Page Range: 165-176

Description:

Selective Waste Collection is an essential part of recycling raw materials, in order to protect our environment. The waste collection is carried out by using a seriously polluting vehicle, due to the fact that most of the gathering vehicles are using fossil energy sources, like gasoline. High volume of carcinogenic elements are contained in the emitted exhaust gases. The current waste collection methods are just focusing on the load of the selective waste collective vehicle during a collection route. The goal of this research is to find the best solution to use the full storage capacity of the selective waste collecting vehicle with the lowest volume of residual air due to the effectively compressed waste. The closed and uncompressed PET bottles require the largest volume in the waste collecting vehicle. It is essential to minimize the air in the PET bottles to decrease the volume. Different methods have been examined to increase the density of the selectively collected waste. Statistical data have been used to determine the collecting parameters – nowadays, a 15 t waste collecting vehicle, with a 20 m3 load capacity is only gathering 1-1.5 t PET due to the ineffective use of its load compartment. The application of the method herein, enhances the efficiency of the waste collecting vehicle by gathering 4-10 times more waste than currently used methods.

Open Access: Yes

DOI: 10.12700/APH.19.7.2022.7.9

Digital Competences of Teachers in the Digitalising Education Sector and in the Smart Learning Environment

Katalin Nagy Gyorgy Molnar

Publication Name: Sisy 2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 325-330

Description:

In addition to the specific characteristics of the teaching-learning process, we have faced and continue to face a number of challenges and constraints in the digital era. A common set of challenges has been and will continue to be, at the end of 2021, the issue of digital competences, which is one of the main focal points (in addition to the provision of a modern high-capacity server backbone) of the new European Digital Agenda for Education (2021-27). The focus of our paper is therefore on the study of digital competences among teachers. In Hungary, the adapted frameworks based on the central EU Recommendation were published in 2019 and 2020, the first of which was the digital competence framework for teachers based on DigCompEdu. The digital skills and ICT attitudes of teachers play a key role in digital education. In this article, we present the results of a snow-ball sampling based pilot questionnaire administered to practising teachers in addition to a description and overview of the theoretical framework. Our research questionnaire consisted of 34 items, with N=112 respondents providing a scored response to our survey. The questionnaire survey consisted of a total of six sections, and we intend to use the responses and results obtained in our further research, seeking answers to the main research questions.

Open Access: Yes

DOI: 10.1109/SISY56759.2022.10036290