This paper presents a comparative approach on the use of different industrial networks configurations and industrial communication protocols. Some aspects, that may influence the right choice of the most indicated protocol for each industrial network configuration, are discussed. It is presented a case study and two configurations networks implementing two industrial communication protocols. Th...

Learning models of machines comes very naturally to humans. They construct a mental model of the behaviour of machines while trying out different options. For machines this is much harder. Algorithms have been developed to learn the behaviour of systems and describe them in state machine models. Once such a model has been learned it can be used by software engineers to improve their software. T...

In the last decade graphical models have become one of the most popular tools to structure uncertain knowledge about high-dimensional domains in order to make reasoning in such domains feasible. Their most prominent representatives are Bayesian networks and Markov networks, but also relational and possibilistic networks turned out to be useful in practical applications. For all types of network...

Representation of, and service to, “underrepresented” “disadvantaged” groups often denote goals sought by leisure researchers practitioners. The motivations behind these are varied, harkening themes of social justice equity. As a potential counternarrative to motivations, the writer Teju Cole, posited “White-Savior Industrial Complex.” While originally positioned in context Western humanitarian...

Process control should aim at not only ensuring that controlled variables to best follow their set points, but also requiring the optimal control for the operation of the whole plant to make the operational indices (e.g. quality, efficiency and consumptions during the production phase) into their targeted ranges. It also requires that operational indices for quality and efficiency should be enh...