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Table 2 Comparison of typical prediction timings, based on the optimised equation 6on the Amazon Web Services Elastic Beanstalk using the t1.micro instance Bit size1 Query vector size2 Typical prediction time 1024 5 300ms 102048 5550ms 2048 5 600ms 2048 10 900ms 1Paillier cryptosystem modulus bit size, i.e. |n|.
Table 3 Comparison of typical prediction timings, based on the optimised equation 6on the Google App Engine for Java with the 1200MHz front-end instance class Bit size1 Query vector size2 Typical prediction time 1024 5 450ms 102048 5 2500ms 2048 10 3100ms48 1Paillier 1Paillier cryptosystem modulus bit size, i.e. |n|.
Table 1 Comparison of typical prediction timings, based on the optimised equation 6on the Google App Engine for Java Bit size1 Query vector size2 Typical prediction time 1024 5 500ms 102048 5 3800ms 2048 10 5000ms48 1Paillier 1Paillier cryptosystem modulus bit size, i.e. |n|.
Similar(57)
The experimental condition is the prediction timing.
In this paper, the experimental condition is the prediction timing around 200 ms before action timing.
We clarify the appropriate prediction timing by the accuracy of the system using SVM.
It is not clear that the accuracy changes as to the prediction timing changing.
We found that the average accuracy was 72.9% and the highest at the prediction timing 280 ms.
In this paper, we validated the prediction timing of the system at the highest accuracy by the system using EEG and MRCP.
For over 200 years the cerebellum has been viewed as an important motor control structure [16,21,26,46] playing a significant role in the prediction, timing and execution of movements [40].
These anticipatory saccades indicated preserved spatial prediction but suggested impaired predictive timing.
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