2015
DOI: 10.1007/978-94-017-9618-7_14
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A Novel Android Memory Management Policy Focused on Periodic Habits of a User

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Cited by 8 publications
(2 citation statements)
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“…Thus these places can be found by the repeated monitoring of specific access point with periodic time information. Furthermore, we can find that some heavy-loaded 3D-game applications may be invoked with the information of place and specific time [6]. By this projection with repeated monitoring, SFD will figure out some highly probable applications for specific place and time.…”
Section: Fig 1 Data Structures Of Sfdmentioning
confidence: 94%
“…Thus these places can be found by the repeated monitoring of specific access point with periodic time information. Furthermore, we can find that some heavy-loaded 3D-game applications may be invoked with the information of place and specific time [6]. By this projection with repeated monitoring, SFD will figure out some highly probable applications for specific place and time.…”
Section: Fig 1 Data Structures Of Sfdmentioning
confidence: 94%
“…For example, the location and time of the device used may be considered as important factors to evaluate the risk of false use. The environmental information counts the accumulated events or history of transactions of a person reflecting the location, time, interests, and user habits as shown in Table 2 (Suh, 2015(Suh, , 2017Kim et al, 2014). The application of environmental factors is a bit different from that of direct factors which can be used immediately to approve or to reject personal authentications according to the received information.…”
Section: Introductionmentioning
confidence: 99%