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Accordingly, there has been a growing body of literature concentrating on the need for such digital literacy that hitherto encompassed human-computer interaction (HCI) (Anonymous 2008) through the machine dimension (technical requirements) and the human dimension (social interaction).
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In this paper, three external rotor machines with identical machine dimensions are designed with different slots per phase per pole (SPP) ratios.
This model features the simultaneous incorporation of some specific design attributes of CMSs, such as unequal machine dimensions, duplicate machines, alternative process routings, coexistence of alternative process routings, lot splitting, and production planning.
For this reason the Fraunhofer IPT has developed high precise machine tools following a compact design strategy by reducing the overall machine dimensions as far as conventional machine components such as measuring or drive systems were available.
Based on the proposed S-shaped layout, we formulate an integrated bi-objective cell formation and layout problem, considering parameters such as part demands, operation sequences, machine dimensions and aisle widths.
Although the fusion power is lower than the one of ITER, the relative smaller machine dimensions and planed much higher auxiliary heating power of 100 140 MW make that the power exhausting for the CFETR divertor is a very critical issue.
Researchers were mainly interested in the machine-dimension of the HCI (Anonymous 2008) examining peoples' capabilities expressed as arithmetic reasoning (problem-solving) abilities (Bagley, 1991) to manage the computer operations.
Open image in new window Fig. 3 Layout showing AGV paths and locations for machines-dimensions are in unit distance.
This study was also before the notions of big data implementations, yet researchers were commencing to identify the machine-dimensions of HCI (Anonymous 2008).
Her early work contains functional circuits that give a "machine life" dimension to her art.
Commonly used statistical techniques for high-dimensional data, such as machine learning, dimension reduction, and variable selection techniques, need to be adapted to the longitudinal context by accommodating issues such as time-varying exposure effects, delayed effects, and effects of exposure trajectories over time on outcome trajectories (Buck Louis and Sundaram 2012).
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