Device Operational Mode Selection via Location and Time Context
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Solution Overview
Problem
Conventional mobile devices lack the ability to seamlessly adapt their operational modes based on geographic position and time, leading to inefficient bandwidth utilization and increased costs due to inappropriate communication medium selection.
Innovation Solution
Obtaining geographic position and temporal data to select an optimal operational mode for the device, which can include switching between communication mediums like Wi-Fi and 3G networks, based on historical data and user preferences to maximize data transfer speeds and comply with bandwidth quotas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the device uses a fixed operational mode regardless of location and time, then the device complexity is reduced, but bandwidth utilization efficiency deteriorates
Solution Approach 1:
The patent implements dynamic operational mode selection by enabling the device to automatically switch between different communication mediums (e.g., Wi-Fi, 3G, Bluetooth) based on real-time geographic position and temporal data. This dynamic adaptation resolves the contradiction by allowing the system to optimize bandwidth utilization efficiency through context-aware mode selection while maintaining manageable complexity through automated decision-making algorithms.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring the device's geographic location and time context, then using this information to select the most appropriate operational mode. The feedback loop ensures that the device adapts its communication medium based on historical data and current conditions, thereby improving bandwidth utilization without requiring manual user intervention or complex configuration.
2Speed
If the device automatically switches operational modes based on geographic position and time, then data transfer speed is improved, but the extent of automation increases system complexity
Solution Approach 1:
The patent implements self-service automation by enabling the device to autonomously determine its geographic position, retrieve temporal data, and automatically select the optimal operational mode without user intervention. This self-service capability resolves the contradiction by maximizing data transfer speed through intelligent automation while keeping the user experience simple and the apparent system complexity low.
Solution Approach 2:
The system performs preliminary actions by pre-configuring multiple operational modes and their associated communication mediums in advance. When the device needs to switch modes, it can quickly select from pre-defined configurations based on location and time context, thereby achieving fast data transfer speeds without the computational overhead of real-time mode creation or complex decision-making at the moment of switching.
3Loss of energy
If the device selects communication medium based on historical data and user preference, then cost efficiency is improved, but the difficulty of detecting and measuring optimal mode increases
Solution Approach 1:
The patent employs feedback mechanisms by utilizing historical data about the device's location-based communication patterns and user preferences to inform operational mode selection. This feedback approach resolves the contradiction by improving cost efficiency through learned optimization while managing the complexity of detecting optimal modes through structured data analysis and preference-based decision-making frameworks.
Solution Approach 2:
The system uses copying by creating and storing profiles of optimal operational modes for different geographic locations and time periods based on historical usage patterns. When the device visits a known location or time context, it can copy or replicate the previously determined optimal mode configuration, thereby reducing the computational complexity of real-time optimization while maintaining cost efficiency through pattern recognition and reuse.
Data Source
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AI summary
Customizing a device based on space and time (e.g., a geographic position of the device at a particular time) is disclosed. In one aspect, geographic position data of a device is obtained. Temporal data that is related to the geographic position data is obtained. An operational mode is selected based on the geographic position data and the temporal data for activation on the device. In some implementations, the operational mode identifies a communication medium.