The use of distributional semantics to represent the meaning of a single word has proven to be very effective, but there still is difficulty representing the meaning of larger constituents, such as a noun phrase. In general, it is unclear how to find a representation of phrases that preserves syntactic distinctions and the relationship between a compound’s constituents. This paper is an attempt...

Abstract Machine learning (ML) is a well-established research topic in Industry 4.0 boosting its adoption. ML also used for manufacturing cost estimation during design. Such approaches are commonly to estimate the of mass-produced parts. Many consolidated historical data available training regression models. Unfortunately, very often, such database not available. The paper defines an approach p...

The view of a complex real-time computer-based application system as one in which not only automated machine components are embedded but also human servers, especially those who pe fo rm time-sensitive tasks in close interaction with machine components, are "embedded" as components, is adopted. Efforts for optimal scheduling of executing components can then be applied not only to the machine co...