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The scientific focus and challenge in simulations move from understanding system complexity to actually prototyping online and distributed regulatory mechanisms for supporting system operations.
Although to apply divide et impera approaches helps handling system complexity, to consider just one aspect at a time does not provide adequate risk awareness and hence does not allow to design the most appropriate countermeasures.
Using words and examples from a variety of contexts (including mechanical engineering and management science), we try to illustrate the properties of each, such that in later papers we can provide unambiguous measures of system complexity to permit the comparison of process options.
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Inherently safer design strategies include a) substituting highly hazardous substances with less hazardous ones; b) minimizing levels of hazardous materials and energy; c) moderating hazards with the use of alternative forms of materials; and d) reducing unnecessary systems complexity to increase process controllability (Crowl 1996).
The ability of MDL to estimate system complexity according to the data complexity inspired us to also apply MDL as the criterion for adaptively discarding existing centers.
Due to increasing system complexity, time-to-market and development costs reduction, new engineering processes are required.
System organization is a key methodology to reduce system complexity and to improve system efficiency.
Recently, the proposed compressive sensing (CS) approach [6, 7], which enables sub-Nyquist sampling of sparse or compressible signals in some domain, can be employed to reduce system complexity and to save power significantly.
In such a complex structure, removing the filters is an efficient way to reduce the RF system complexity and to optimize the chip surface with regard to a Green objective for the uplink transmission.
Unlike the traditional two/three-loop autopilot, only the measured accelerations are directly adopted as feedback in the proposed autopilot to reduce the cost and the system complexity, and to improve the reliability.
The aim of this paper is to improve the system range for equivalent error rate, while not significantly increasing system complexity compared to conventional iterative receiver solution under realistic channel environment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com