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• The Impact of Optical Character Recognition Artificial Intelligence on the Labour Market

  9-16

  Zsolt Krutilla

  Zsófia Riczu

  Views:

  373

  Because of present day information technology, there is neither need to plant complicated computers for more millions price if we would like to process and store big amounts of data, nor modelling them. The microprocessors and CPUs produced nowadays by that kind of technology and calculating capacity could not have been imagined 10 years before. We can store, process and display more and more data. In addition to this level of data processing capacity, programs and applications using machine learning are also gaining ground. During machine learning, biologically inspired simulations are performed by using artificial neural networks to able to solve any kind of problems that can be solved by computers. The development of information technology is causing rapid and radical changes in technology, which require not only the digital adaptation of users, but also the adaptation of certain employment policy and labour market solutions. Artificial intelligence can fundamentally question individual labour law relations: in addition to reducing the living workforce, it forces new employee competencies. This is also indicated by the Supiot report published in 1998, the basic assumption of which was that the social and economic regulatory model on which labour law is based is in crisis.

• Labour Economics - From the Technological Development Perspective

  98-108

  József Boros

  Views:

  71

  The impact of technological advancements on the labor market and innovation processes is a critically important research area. The aim of this study is to examine the emergence and frequency of technological innovations in scientific publications, with a particular focus on the Journal of Labour Economics from 2000 to 2020. The research employs content analysis methods, searching for eight different terms and expressions related to technological development (e.g., technology, artificial intelligence, machine learning) across 1405 articles. The study also analyzes the number of occurrences and annual publication trends of these terms. A total of 9469 instances were identified, indicating that in 64,7% of the cases, at least one technological term appeared. An analysis of annual trends reveals an increase in the usage of certain keywords (technology, artificial intelligence, and machine learning). In a smaller subset of articles, only 1%, technological terms were mentioned at least 50 times. The results suggest that although the topic of technological development plays a significant role in labor market research, the frequency of its appearance and the depth of analysis vary considerably. The increase in the appearance of technological terms is predominantly observed in the fields of artificial intelligence and machine learning. These findings are specific to a single journal, indicating the need for further research involving other labor market journals to ensure representativeness.

• The Role of Industry 4.0 and Digitalization in agriculture, Especially in Romanian Agriculture

  Szeréna Nagy

  Views:

  417

  The use of robotics, automation, big data, artificial intelligence are growing in the world and in the agricultural sector, which contribute to the development of a more efficient agricultural sector.  In the agriculture sector for sustainable development it is necessary the use of opportunities and technologies provided by industry 4.0. For the agriculture sector digitalization means the future, because it helps increasing output meanwhile environmental pressure is remitting, and is not increasing. The aim of these paper is to present the concept of Industry 4.0 in agriculture and to analyse the romanian agricultural sector attitude and conditions towards digitalization.

• Analysis of the Causes and Effects of Noise from Rail Transport

  116-130

  Péter Ficzere

  Views:

  119

  Noise emissions from rail transport are a major concern, as they affect both the environment and people's health and quality of life. Among the many sources of noise emissions, rail vehicles and infrastructure are a major factor. With regard to rail noise emissions, it can be concluded that noise effects are influenced by a number of factors. These factors include train speed, track condition, traction technology and the noise abatement methods used. The negative effects of noise exposure include sleep disturbance, stress and mental health deterioration. It also affects the quality of life of people in urban areas and property prices. It should be emphasised that reducing noise emissions from rail transport is key to creating a healthier and more sustainable urban environment. To achieve this, it is important to use modern noise abatement technologies, improve infrastructure and implement noise abatement actions effectively. Transport authorities and railway companies should work together to achieve a more noise-free rail transport, to improve people's quality of life and to protect the environment.