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A system configuration for the proposed VP has been developed and implemented using available virtual reality technologies.
A system configuration and its engineering specification were determined to meet the scientific requirements, which were defined by the ground based study.
A system configuration (mathbb {C}) of a video surveillance processing chain can be defined as a set of connected and running components, each one customizable with a set of parameters, and these components can be removed, added or replaced from the system assembly at runtime, as long as they meet interface requirements.
The goal is to develop a system configuration that minimizes thermal resistance.
This means that for each task there is a system configuration that obtains better performance.
The model generates a system configuration that specifies the location and capacity of the manufacturing sites, the material flow, and the transportation routes within the network.
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For a given system configuration, a system model estimates the cycles per instruction that the system would incur while running a given workload.
This paper presents a new system configuration and a design method to improve control performance for a system with an input time delay and disturbances.
This paper presents a new system configuration and a design method that improves disturbance rejection performance for a nonlinear system.
The scores on these criteria are determined by the amount of signal received by a sensor for a specific system configuration.
In this paper, a Bayesian network approach is proposed for evaluating the conditional probability of failure within a complex system, using a multilevel system configuration.
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