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Found 6327 publications

HUNGARIAN REPORT ON TRADITIONAL CRIMINAL LAW CATEGORIES AND AI

No authors available

Publication Name: Revue Internationale de Droit Penal

Publication Date: 2023-01-01

Volume: 2023

Issue:

Page Range: 253-267

Description:

The study is an edited and completed Hungarian national report prepared for the AIDP 2024 Congress in Syracuse's preparatory colloquium. The logic of the content is consistent with the logic of the questionnaire composed by Prof. Dr. Lorenzo Picotti during the preparatory phase and the content of the original report.1 In addition, it includes a brief description of the main features of Hungarian criminal law and a presentation of the government’s strategy to prepare society for digital challenges, taking into account its impact on generating scientific research.

Open Access: No

DOI: DOI not available

Emotion and Reasoning in Hungarian heart Metaphors

No authors available

Publication Name: Language, Expressivity and Cognition

Publication Date: 2023-01-01

Volume:

Issue:

Page Range: 17-35

Description:

Open Access: No

DOI: DOI not available

Deformation Test of 3D Printed Battery Case Using DIC Technology

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:

The study demonstrates the evaluation of various 3D-printed 18650 battery housings. The GOM Aramis measurement system performs real-time deformation analysis of the housings during testing. Using Fused Deposition Modelling (FDM) technology and various polylactic acid (PLA) materials, battery housings are 3D printed using Fused Deposition Modelling (FDM). Additionally, different layout designs will be investigated. The research's primary objective is to evaluate the suitability of the measuring system and the printing technology. In addition, the paper describes the raw materials used, preparation techniques, measuring system, and measurement outcomes.

Open Access: Yes

DOI: 10.1109/ICECCME57830.2023.10253004

Assessing logistics strategy issues under cognitive biases

Publication Name: 2023 14th IEEE International Conference on Cognitive Infocommunications Coginfocom 2023

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 141-146

Description:

Cognitive biases often appear in the decision-making process of highly qualified managers of companies because of the drive for efficiency and the time pressure in operation. There are also long-term strategic decisions where there is no longer time pressure, and yet cognitive bias appears, for example during the selection between the Push and Pull systems in logistics. The description of the actual situation has to be quantified because communication between human-machine systems, as defined in cognitive info-communication, is only viable if cognitive biases in decision-making can be considered properly. We propose fuzzy approach and measures that can assess whether the production uses a Push or Pull logistics strategy for a specific product or for the entire company.

Open Access: Yes

DOI: 10.1109/CogInfoCom59411.2023.10397543

Historical review of lacy phacelia (Phacelia tanacetifolia Benth.) Cultivation based on Hungarian bota nical, apicultural and agronomical studies

Publication Name: Botanikai Kozlemenyek

Publication Date: 2023-01-01

Volume: 110

Issue: 1

Page Range: 43-60

Description:

Lacy phacelia (Phacelia tanacetifolia Benth.), a plant of North American origin, has been cultivated in the Carpathian Basin since the end of the 19th century. It was sown for ornamental purposes, but at the same time its potential for beekeeping was also recognized. It was prophesied to save the future of the Hungarian apiculture, but in the period following the Second World War with the collapse of the large estate system, it was cultivated as a bee pasture only on a small scale. Since the beginning of the 20th century, Hungarian researchers have been studied its forage potential in several experiments. Despite the fi rst contradictory conclusions, it has been respected as a valuable forage crop for several livestock species since the 1970s. Its excellent potential for green manuring and soil disinfection has been also confi rmed in many experiments carried out in the Carpathian Basin for more than a century. Since the end of the 1970s, its exportoriented seed production has boomed both in small and large farms in the Little Hungarian Plain (in NW Hungary). Th is practice has been strongly linked to migratory beekeeping, which has elevated lacy phacelia to the most important melliferous plants producing monofl oral honey in Hungary. Its annual production area has fl uctuated between 1500 and 11,000 ha in the last 20 years.

Open Access: Yes

DOI: 10.17716/BotKozlem.2023.110.1.43

Investigating the Ecological Footprint of Deep Mixing

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 349-354

Description:

In railway construction practice, we are increasingly faced with the problem of having to pass our new lines through areas with unfavorable subsoil conditions or with the need to reinforce the substructure of our existing lines due to increasing traffic demands (speed, axle load). The low strength, high compressibility, and low permeability of unfavorable subsoil will result in stability problems and prolonged consolidation with extremely high settlements, respectively. One of the effective technologies to counter the geotechnical problems is the deep mixing. The technology requires the addition of a binder (cement, lime) to the local soils. These materials have a high installed CO2 emission, thus significantly increasing the ecological footprint of infrastructure development. Due to the increasing demands on reducing CO2 emissions, secondary raw materials, e.g., fly ash or slag, have been increasingly prioritized. The study reports the methodology for calculating the ecological footprint of deep-mixing as an embankment foundation. Based on a simple case, the effect of different cement content (5 and 8%), and the application of slag and fly ash as a secondary raw material is analyzed, and the ecological footprint is calculated separately. The results show that the ecological footprint of deep mixing can be drastically reduced; under the conditions of the study, the reduction compared to clean cement is 40% for slag stabilization and 50% for fly ash.

Open Access: Yes

DOI: 10.3303/CET23107059

Mathematical Description of the Universal IDM - some Comments and Application

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2023-01-01

Volume: 20

Issue: 7

Page Range: 99-115

Description:

The aim of the study is to define and mathematically describe the universal IDM. An important result of this research is that the model uses a single system of differential equations. It is able to simultaneously describe the dynamic operations of the IDM systems for all different vehicle sequences. The aim of the study is to support the driving of autonomous vehicles by taking into account the dynamic variations in the state characteristics of traffic processes. The approach used is motivated by important issues in current modelling techniques that address significant economic problems in the application of large-scale ITS network models. This also points to a new opportunity in the key area of vehicle traffic management, in the related targeted fundamental research, particularly in the analysis of traffic processes in large-scale dynamic networks.

Open Access: Yes

DOI: 10.12700/APH.20.7.2023.7.6

EDITORIAL: Cities, Regions and Borders in Central and Eastern Europe

Publication Name: Deturope

Publication Date: 2023-01-01

Volume: 15

Issue: 2

Page Range: 6-8

Description:

No description provided

Open Access: Yes

DOI: 10.32725/DET.2023.009

Calibration Measurements and Computational Models of Sensors Used in Autonomous Vehicles

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2023-01-01

Volume: 51

Issue: 3

Page Range: 230-241

Description:

An increasing number of vehicles are equipped with cameras. As perception sensors, they scan the surrounding area and supply the Advanced Driver Assistance Systems (ADAS) for building up an environmental model through the use of computer vision techniques. While they perform well under good weather conditions their efficiency is reduced by adverse environmental influences such as rain, fog and occlusion through dirt. As a consequence, the vision based ADAS obtains poor quality information, and the model also becomes faulty. This paper deals with methods to estimate information quality of cameras in order to warn the assistance system of possible wrong working conditions. In particular, situations of contamination or occlusion of the windshield or camera lens, as well as foggy weather are taken into account in this paper. In the issue of occlusion total, fractional and transparent effectuations have to be recognized and distinguished. Therefore, this paper proposes an approach based on edge analysis of consecutive frames and presents initial experimental results of the implementation. In the field of Fog Detection a method based on the Logarithmic Image Processing Model is described and the results are shown.

Open Access: Yes

DOI: 10.3311/PPtr.18453