The use of a specific hardware is the only reasonable solution in applications where performance is the key factor.
The bilateral cloud forensics system model is an attractive solution in applications where mutually untrusted CSCs and CSPs are reluctant, or unable, to use a trusted third party and therefore, agree to deploy their own component services.
However, even with a small physical footprint, the amount of microphones makes it difficult to employ this solution in applications where space is limited, such as hearing aids or mobile phones.
Experiments demonstrate that this results in a more effective representation of the training vectors by the codevectors and that the final codebook is nearer to the optimal solution in applications such as image compression.
Especially, the proposed objective function may also be extended to nonlinear problems to determine optimal parameters of nonlinear fluid viscous dampers which may be an interesting solution in applications where high force levels are expected in the dampers.
The adaptive capacities of these mechanisms are compared to engineering solutions, in application domains that involve navigation, action selection, and evolutionary design.
ANNs are made up of attributes which lead to perfect solutions in applications where learning a linear or non-linear mapping is needed [16].
A simulation tool has been develop to evaluate the proposed solution in different application scenarios of every-day life.
The proposed model is applied to the leading niche sectors in Europe to explain why ion implantation is the preferred solution in those application fields.
HBase is a good solution in our application to serve as an article/annotation store, but it lacks a convenient means to query the data.
