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Our work aims to provide system performance and dependability models for supporting optimization of infrastructure design, aimed at business oriented metrics.
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This paper considers the optimization of public infrastructure systems, recognizing that these systems serve multiple user classes.
One important line of research applies CDR analysis to study human mobility and transportation and to develop methods that can be used e.g. for urban real-time monitoring [9] and planning [10], or for optimization of transportation infrastructure [11 14].
Therefore, these data can be used for applications such as the spatial optimization of energy production infrastructure.
The objective of this paper is to propose an optimization model for the planning of infrastructure in offshore oilfields.
In terms of the general scope, measures including optimization of the energy structure, transforming of infrastructure and auditing of energy consumption and GHG emission are found well practiced.
Performance modeling has become increasingly important in the design, engineering and optimization of information technology (IT) infrastructures and applications.
All presented models, approaches, and optimizations are implemented in the cyber-defense system PANOPTESEC, whose use case partner gives us the opportunity to evaluate and study the application of the proposed multi-dimensional evaluation and optimization of response plans in an infrastructure environment of an energy distribution organization (EDO).
Recently, a large emphasis has been devoted to Automatic Vehicle Guidance since the automation of driving tasks carries a large number of benefits, such as the optimization of the use of transport infrastructures, the improvement of mobility, the minimization of risks, travel time, and energy consumption.
Multiple constraints imposed by economic, social and environmental considerations lead maintenance planning optimization to a major challenge for designers, owners and users of infrastructure.
Missouri Development Finance Board, $69.6 million of infrastructure refinancing revenue bonds.
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