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

  9-16

  Zsolt Krutilla

  Zsófia Riczu

  Views:

  492

  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.

• Neural Network Based Enveloping Model of Agricultural Tyre

  214-222

  Boris Stojic

  Views:

  130

  The vibration properties of agricultural tractor’s tyres significantly influence its response in terms of the exposure of the human operator to mechanical vibrations, which is still one of the key problems in the design and exploitation of tractors. The behaviour of the tyre in this sense is significantly influenced by the mechanism ofgeometric filtering of the short-wavelength unevenness of the unprepared ground mostly encountered by tractor during in-field operations. Herein, this aspect of tyre behaviour was studied with tyre rolling quasistatically over singular obstacle. Based on experimental results, neural network based model of tyre enveloping behaviour was developed. Main model properties are high computational efficiency, simplicity regarding number of input quantities and absence of the need for explicit parametrization etc. Main shortcomings of modelling approach used are high developing effort, labour-intensive experimental preparations and lack of flexibility regarding tyre design and operating parameters

• Calculations of Performance Losses for Automobile Vehicles

  210-218

  Ferenc Szodrai

  Sándor Pálinkás

  György Juhász

  Views:

  320

  Vehicle-energetic-models are used to analyze the performances and when a comprehensive structure is established even optimization could be done. For these kinds of models, the losses of the vehicles have to be known. These losses could significantly effect of the vehicle fuel consumption. From these losses the rolling resistance, drive elements and aerodynamic drag are discussed. This paper reviews some of the literatures that describes the calculation methods and gives us some idea about the degree of their value. Our further goals are to have an UpToDate loss coefficient dataset and calculation methods for further vehicle-energetic modelling.

• Visual Analysis and Geometric Modeling of Metal Foams

  89-92

  Tamás Antal Varga

  Tamás Mankovits

  Views:

  177

  The development of an efficient procedure for 3D modelling and finite element simulation of metal foams
  is one of the greatest challenges to engineer researchers nowadays. Creating 3D CAD model is alone a demanding
  engineering task due to its extremely complex geometry, and the proper finite element analysis process is still in the
  center of the research. The aim of this project is to analyze the related literature and to adapt the results may be
  considered.