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Remember, though, that in the future, the subsystems that applications depend on to differentiate themselves will largely be data subsystems.
The EMR's laboratory-data subsystem has standard methods of determining whether a given result is in the normal range, based on reference/laboratory standards and the patient's age and sex: the clinician can additionally bring information on other physiological states such as pregnancy to bear on the result.
As shown in Figure 1, the biometric processing device integrated with cryptographic technology consists of the following five parts: (1) data collection subsystem, (2) signal processing subsystem, (3) biometric feature extraction subsystem, (4) biometric feature registration/input subsystem, and (5) matching and decision subsystem.
Three main subsystems identified include Data management subsystem includes the application which accesses the data storage cloud and displays the same to the end user.
Data Collection Subsystem The data collection subsystem collects the registered biometrics (e.g., fingerprints, facial image, iris image) for matching with the input biometric.
The analog baseband is followed by the data conversion subsystem.
All the traffic of the network is finally offered to the data transmission subsystem.
Accordingly, the average data transmission subsystem delay can be written as (16).
Therefore, the data transmission subsystem can be modeled with an M/M/1 queuing system.
The input to the data transmission subsystem is the total aggregated traffic load.
As shown in Fig. 1, the ATIS current architecture consists of a data gathering subsystem, data integration center, and traffic information dissemination infrastructure.
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