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Found 6327 publications

Evaluation and technological solutions for a dynamic, unified cloud programming development environment : Ease of use and applicable system for uniformized practices and assessments

Jozsef Cserko Karl Eva Gyorgy Molnar

Publication Name: 2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics Sami 2023 Proceedings

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: 237-240

Description:

The dynamic development and change of the world also result in the modernization of teacher-student relationships. In the training, educational processes must be planned with innovative strategies that meet the increasingly changing needs of students, which today go beyond the traditional classroom and methodological frameworks. In this article, we present a technological solution to support the renewal efforts in the education world that, on the one hand, takes advantage of the benefits of cloud-based services, and on the other hand, ensures that students can acquire the material of a given course in a unified, stable environment. The isolated environment offered by the virtual space guarantees private work sessions, and multi-project activities can also be handled more easily and uniformly. The analysis of the teaching program presented below provides insight into the practical and appropriate solutions offered by the containerization process. In addition to these, the topic will also cover the widely used and popular Docker application that supports the implementation of the process, as well as the NodeJS environment closely related to the project.

Open Access: Yes

DOI: 10.1109/SAMI58000.2023.10044519

Web-Based Map Service Connected to ROS2 Robot Network

Ferenc Péter Speiser

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 55-60

Description:

The key for testing the driving assistance and autonomous vehicle systems is to establish an advanced infrastructure. For special manoeuvres, a special track is necessary. The path of the track is always changing as the investigated function changes. This means a lot of track construction work for the operation of the proving ground. The engineers of the ZalaZone proving ground perform continuous track construction tasks for the various dynamic tests, which is a time-consuming, resource-intensive task. The goal is to develop an environment that can manage a semi-automatic test track building in a sustainable way. The placing of traffic cones can also be carried out by autonomous robots designed for this purpose, according to pre-designed plans, which are under development at the University of Győr. Automating this task can save a lot of energy, live work, and fuel also can optimize the load and the route of the robots. This paper discusses the theoretical design and possible physical architecture of a framework for the coordination of the tools used. It presents a possible software environment for managing and publishing data in a form that can be integrated with map data represented in different map projection systems. This requires the development of an HTTP-ROS2 interface that can transfer position and other descriptive data of participants communicating on the ROS2 network to the web server that provides the base maps. This work presents a map interface for the near real-time display of positional data from robotic tests carried out in the ZalaZone area. As a result, the map allows the movement of registered objects to be tracked and displayed on the web map via the internet on a publicly accessible server running on the university network. The server is currently capable of mapping the data recorded on the ROS2 network, but only on the local network. It implements the display of pre-saved data from the ROS2 network via the Internet. The long-term goal is to develop a web-accessible mapping framework that allows the current position of the cone-positioning robots to be displayed and controlled through this interface.

Open Access: Yes

DOI: 10.3303/CET23107010

Predicting the Impact of Product Type Changes on Overall Equipment Effectiveness through Machine Learning

János Jósvai Péter Dobra

Publication Name: Periodica Polytechnica Mechanical Engineering

Publication Date: 2023-01-01

Volume: 67

Issue: 1

Page Range: 81-86

Description:

Nowadays, Industry 4.0 and the Smart Manufacturing environment are increasingly taking advantage of Artificial Intelligence. There are more and more sensors, cameras, vision systems and barcodes in the production area, as a result of which the volume of data recorded during manufacturing and assembly operations is growing extremely fast. The interpretation and processing of such production-type data by humans is no longer possible effectively. In the Big Data domain, machine learning is playing an increasingly important role within data mining. This paper focuses on the product change processes of semi-automatic assembly line batch production and examines the impact of product type changes on the Overall Equipment Effectiveness (OEE) and attempts to determine future values through supervised machine learning. Using decision tree technology, the effect on the OEE value can be predicted with an accuracy of up to 1%. The presented data and conclusions come from a real industrial environment, so the obtained results are proven in practice.

Open Access: Yes

DOI: 10.3311/PPme.21320

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

Gyula Pinke Éva Dunai

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

Head Checks and the Useful Life of Rails

Zoltán Major Ferenc Horvát Róbert Horváth

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 295-300

Description:

Transport systems, including railways, are an important part of everyday life in modern societies. Whether it is passenger or freight transport, railways are an environmentally friendly solution with their robust throughput capacity and modern electrified lines. The significant changes in transport needs over the last fifty years have partly modified its role, increasing both track speed and axle load. Head Checks (HC) appeared on the MÁV (Hungarian Railway Corporation) network in the early 2010s. This phenomenon had been an unknown problem in Hungary before. Several cases abroad (e.g., a train derailment at Hatfield station in 2000 with four fatalities) have highlighted the extreme danger of this phenomenon. Materials and railway track experts at Széchenyi University have been working on the subject of HC defects in rail heads for several years. The results of research work carried out for MÁV Zrt. form the base of this article. The novelty of this article is the complexity consideration. Not only the structural changes of the rail material were investigated, but also the time/traffic load-dependent crack evolution was mathematically described. Based on the strategy outlined in the report of the research work, MÁV has taken up the fight against HC cracks, which were initially proliferating. The modern laboratory test in this article is based on the tests of Csizmazia and Horvát (2014). The stresses causing damage were investigated previously by Horváth and Major (2023). The economic analysis is based on Róbert Horváth's own calculation results.

Open Access: Yes

DOI: 10.3303/CET23107050

Calibration Measurements and Computational Models of Sensors Used in Autonomous Vehicles

Csaba Hajdu István Lakatos

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

A NEW MODEL OF STINK BUG TRAPS: HEATED TRAP FOR CAPTURING HALYOMORPHA HALYS DURING THE AUTUMN DISPERSAL PERIOD

Jenő Kontschán Gábor Bozsik Gábor Szőcs

Publication Name: Acta Zoologica Academiae Scientiarum Hungaricae

Publication Date: 2023-01-01

Volume: 69

Issue: 1

Page Range: 39-46

Description:

Invasive stink bug species, such as Halyomorpha halys (Stål, 1855) (Hemiptera: Heteroptera: Pentatomidae), are serious agricultural pests worldwide. During autumn dispersal, adults aggregate in large numbers in human-made structures, homes and on walls of buildings. Preferred overwintering sites are sun-warmed, well-protected shelters. Exploiting a new concept, we developed a new collection method for monitoring and controlling them in their pre-overwintering period. Our trap design exploits the heat preference of stink bugs seeking overwintering sites. As a result, significantly greater numbers of H. halys adults moved into our black box traps, equipped with a heating apparatus, than into unheated ones. Experiments were performed in October during the pre-overwintering autumn dispersal period. Traps were placed next to a building that served as an overwintering site, where stink bugs usually aggregate in large numbers. Heated traps were operated on sunny afternoon hours when stink bugs were found to be active by visual observations. Our results represent the first example of an effective collection method based on artificially heated traps placed in natural conditions

Open Access: Yes

DOI: 10.17109/AZH.69.1.39.2023

Convolutional Neural Network-Based Tire Pressure Monitoring System

Zoltan Marton István Szalay Denes Fodor

Publication Name: IEEE Access

Publication Date: 2023-01-01

Volume: 11

Issue: Unknown

Page Range: 70317-70332

Description:

Tire pressure has a significant influence on the driving safety of road vehicles; therefore, it is mandatory in many countries to equip all new road vehicles with a tire pressure monitoring system (TPMS). There are two types of TPMSs in use: the direct TPMS (dTPMS) and the indirect TPMS (iTPMS), both of which have made significant improvement in the last decade. The most accurate iTPMS methods used in commercial vehicles apply the Fourier transform on wheel speed sensor (WSS) signals and extract the pressure-dependent eigenfrequency by utilizing center of gravity (CoG) or peak search (PS) methods, the research focus is shifting towards model-based and artificial intelligence-based methods. In this paper we propose a novel advanced iTPMS method based on modern signal processing and a convolutional neural network (CNN) for eigenfrequency detection. The proposed iTPMS method uses the hybrid wavelet-Fourier transform in combination with a CNN trained for pattern recognition-based eigenfrequency detection, and according to experimental results, it outperforms the commercially most frequently used Fourier transform and CoG method combination both in terms of computational requirement and accuracy.

Open Access: Yes

DOI: 10.1109/ACCESS.2023.3294408

THE ATTRACTIVENESS OF TOURISM IN THE CONDITIONS OF MODERN CHALLENGES: METHODOLOGY, ASSESSMENT, PROSPECTS

Yuriy Bilan Olena Grishnova Halyna Mishchuk Victoria Karyuk

Publication Name: Intellectual Economics

Publication Date: 2023-01-01

Volume: 17

Issue: 1

Page Range: 152-177

Description:

Purpose. The purpose of this study is to develop a methodological tool for assessing the level of tourism attractiveness in the country and to analyse the socio-economic consequences of the war for Ukrainian and international tourism on this basis. Design/methodology/approach. A method of integral assessment of the attractiveness of tourism at the macro level has been developed. The integral index includes 30 partial indicators describing the economic, political and legal, social, cultural and health, infrastructure and environmental pillars of the attractiveness of the country for tourists. The integral assessment of tourism attractiveness is conducted using the case of Ukraine and Poland in 2017-2022. Findings. According to the comparative analysis performed based on the integral index, the level of tourism development in Poland was significantly higher compared with Ukraine. The most obvious lag was evident in the political and legal, cultural and recreational, environmental and infrastructural components. The gaps in tourism development are increased by the influence of the war, where an especially harmful impact was felt in the social, economic and environmental spheres. Originality. The originality and advantages of our approach are in using the official statistical data available for the objective estimation of the holistic attractiveness of tourism in a country, as well as the possibility of comparing a certain country in terms of touristic attractiveness with any other country considering differences in the values of partial indicators. The gaps obtained in the values of partial indicators can be used by policymakers in strategies for tourism development.

Open Access: Yes

DOI: 10.13165/IE-23-17-1-08