Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Current mobile devices use a touch boosting scheme to handle operations caused by user interactions with the touchscreen. The current scheme uses a predetermined DVFS step for touch boosting, regardless of user texting speed or related workloads, causing por waste due to unnecessarily high CPU frequency. In particular, the current mechanism is not optimized for por usage when the soft keyboard is used as an input mechanism. ,  propose a scheme called Tbooster, which adaptively adjusts touch boosting level. The scheme reflects texting interval and texting latency, minimizing por consumption while maintaining the user's quality of experience. The scheme was implemented in Android devices and evaluated using a variety of texting applications. Our evaluation results show that the proposed technique reduces the device's overall por consumption by 4.6--13.1%, depending on texting interval and application type.
['Nohyun Jung', 'Gwang-Min Lee', 'Seokjun Lee', 'Hojung Cha']
I am writing a research paper on a idea Tbooster: Adaptive Touch Boosting for Mobile Texting
[{"from": "human", "value": "I am writing a research paper on a idea Tbooster: Adaptive Touch Boosting for Mobile Texting"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Current mobile devices use a touch boosting scheme to handle operations caused by user interactions with the touchscreen. The current scheme uses a predetermined DVFS step for touch boosting, regardless of user texting speed or related workloads, causing por waste due to unnecessarily high CPU frequency. In particular, the current mechanism is not optimized for por usage when the soft keyboard is used as an input mechanism. ,  propose a scheme called Tbooster, which adaptively adjusts touch boosting level. The scheme reflects texting interval and texting latency, minimizing por consumption while maintaining the user's quality of experience. The scheme was implemented in Android devices and evaluated using a variety of texting applications. Our evaluation results show that the proposed technique reduces the device's overall por consumption by 4.6--13.1%, depending on texting interval and application type."}]