Assume the matching depth of device ability depth=40, the parameter number of device ability AN=2, and the number of device in large-scale collaborative system is 1,000, 2,000,…, 20,000, respectively.
Assume the matching depth of device ability depth = 40, the number of device in large-scale collaborative system is 1,000,2,000,…,20,000, respectively.
Assume the matching depth of device ability depth = 40, the parameter number of device ability AN = 2, and the number of device in large-scale collaborative system be 1,000, 2,000, …, 20,000, respectively.
However, the matching time of composite device grows rapidly with the growth of total device number DN, which indicates that considering both the less conflict of device operation and higher matching efficiency of device ability, we should select as less as possible devices to meet the demand of virtual device.
The details are in Tables 3 and 4. Figure 3 Time of device ability matching ( depth = 20 ). Figure 4 Time of device ability matching ( depth = 40 ).
Assume the matching depth of device ability depth = 20,40,60,80,and 100, respectively, the parameter number of device ability AN = 2, and the number of device in large-scale collaborative system be 1,000,2,000,…,20,000, respectively.
Matching distance of device ability.
where a1i ,…,al i is the corresponding function parameter of device ability.
Besides, when DN = 20,000, the total time of device ability matching is less than 6 s, which indicates that our matching method can meet the performance demand of large-scale device collaboration system.
Our results should not be extrapolated to other Auto-CPAP devices without empirical confirmation of the devices' ability to detect and correct events in children.
