Abstract:
A mobile apparatus includes a processing planner and a plan processor. The processing planner generates a plurality of resource use plans in response to a context monitoring query (CMQ) of an application, and selects a final plan satisfying a request of the CMQ among the resource use plans. The plan processor executes the final plan. Accordingly, the mobile apparatus may support resource-efficient context monitoring.
Abstract:
Disclosed herein is a communication device, which comprises a user trace manager, a power emulator, and a power impact estimator. The user trace manager manages a user's sensor usage trace and device usage trace, which shows the user's mobile device usage pattern. The power emulator executes an executable file of the mobile application to generate hardware usage statistics based on the sensor usage trace and the device usage trace. And the power impact estimator computes an increase in power consumption of the mobile application based on the hardware usage statistics.
Abstract:
Disclosed herein is a communication device, which comprises a user trace manager, a power emulator, and a power impact estimator. The user trace manager manages a user's sensor usage trace and device usage trace, which shows the user's mobile device usage pattern. The power emulator executes an executable file of the mobile application to generate hardware usage statistics based on the sensor usage trace and the device usage trace. And the power impact estimator computes an increase in power consumption of the mobile application based on the hardware usage statistics.
Abstract:
A mobile apparatus includes a cooperator detector, a cooperation planner and a cooperation processor. The cooperator detector selects a cooperating mobile apparatus among adjacent mobile apparatuses. The cooperation planner determines a cooperation plan for operating cooperative context monitoring with the cooperating mobile apparatus. The cooperation processor operates the context monitoring based on the cooperation plan. Accordingly, the resource may be efficiently used and the range of the context monitoring may be enlarged.
Abstract:
A mobile apparatus includes a processing planner and a plan processor. The processing planner generates a plurality of resource use plans in response to a context monitoring query (CMQ) of an application, and selects a final plan satisfying a request of the CMQ among the resource use plans. The plan processor executes the final plan. Accordingly, the mobile apparatus may support resource-efficient context monitoring.
Abstract:
Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.
Abstract:
A mobile apparatus includes a cooperator detector, a cooperation planner and a context processor. The cooperator detector selects a cooperating mobile apparatus among adjacent mobile apparatuses. The cooperation planner determines a cooperation plan for operating cooperative context monitoring with the cooperating mobile apparatus. The context processor operates the context monitoring based on the cooperation plan. Accordingly, the resource may be efficiently used and the range of the context monitoring may be enlarged.
Abstract:
Disclosed herein is a mobile face-to-face interaction monitoring device and method using the same and system including the same, for supporting accurate and efficient turn monitoring. One embodiment of the mobile face-to-face interaction monitoring device may comprise a conversation group detector for scanning mobile devices in a surrounding area and setting a conversation group, a turn detector for determining (conversational) turn using volume topography created based on sound signals detected in the mobile devices in the conversation group, and a meta-linguistic information processor for extracting meta-linguistic context of participants or interactants in the conversation group based on the turn. Other embodiments are described and shown.