Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Operational transformation (OT) is a promising technique for supporting collaboration using mobile devices because it allows users to work on local data replicas even in a disconnected mode. Hover, as work goes mobile, a large number of operations may accumulate, defying the capacity of current OT algorithms that are mostly designed for real-time group editing. Since their assumption is that operations are propagated frequently, they generally only address how to integrate one remote operation at a time. As a consequence, most algorithms take  O (|H| 2 ) to integrate one operation and thus  O (|H| 3 ) to integrate a long sequence, where  H  is the operation history.  proposes a novel algorithm that provides optimized transformation of long sequences, improving the time complexity to  O (|H|). Our experiments will show that it takes 59 minutes in a recent algorithm versus 1.5 seconds in this work to integrate two long sequences on a mobile device. The performance improvement is critical towards achieving desired responsiveness and group productivity in a class of mobile collaborative applications.
['Bin Shao', 'Du Li', 'Ning Gu']
I am writing a research paper on a idea A sequence transformation algorithm for supporting cooperative work on mobile devices
[{"from": "human", "value": "I am writing a research paper on a idea A sequence transformation algorithm for supporting cooperative work on mobile devices"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Operational transformation (OT) is a promising technique for supporting collaboration using mobile devices because it allows users to work on local data replicas even in a disconnected mode. Hover, as work goes mobile, a large number of operations may accumulate, defying the capacity of current OT algorithms that are mostly designed for real-time group editing. Since their assumption is that operations are propagated frequently, they generally only address how to integrate one remote operation at a time. As a consequence, most algorithms take  O (|H| 2 ) to integrate one operation and thus  O (|H| 3 ) to integrate a long sequence, where  H  is the operation history.  proposes a novel algorithm that provides optimized transformation of long sequences, improving the time complexity to  O (|H|). Our experiments will show that it takes 59 minutes in a recent algorithm versus 1.5 seconds in this work to integrate two long sequences on a mobile device. The performance improvement is critical towards achieving desired responsiveness and group productivity in a class of mobile collaborative applications."}]