Correlated input and output sequences of industrial processes are often autocorrelated. Analysts who wish to construct models for such processes from input and output sequences alone must be careful as the autocorrelations in individual time series can masquerade as cross-correlations. Several different models may appear equally plausible, depending on how the process had been operated. In this...

obtained from CBN statistical bulletin 1990Q1 to 2019Q4. Monetary policy was proxied by monetary rate (MPR), prime lending (PLR), maximum (MLR), and treasury bills (TBR). The study employed Structural Equation Modelling (SEM) in analysis. It found that rate, impacted positively on inflation Nigeria. also industrial output negatively inflation, implying an increase will lead a reduction played p...

Italy joined the so-called ‘Industry 4.0’ European framework in 2016, which designed and approved a national plan to regulate this key issue for regional development. To better support such framework, present study attempts quantify contribution of Italian regions output formation process. More specifically, multi-sectoral Input–Output (IO) model that supports policies was proposed cumulatively...

Voting algorithms are used to arbitrate between the results of variants in fault-tolerant systems. Industrial sectors which employ such systems include process control, transportation (such as railway and avionics), nuclear power plants, and military applications. Typical voters used in fault tolerant systems are majority, plurality, median, and weighted average. These voters can produce either...