Intelligent Interface Progressive Data Transmission
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Solution Overview
Problem
Current data transmission methods are inefficient as they transmit all data at once, leading to a bottleneck in the transmission channel, even with data compression, which limits the effective use of the channel and does not adapt to the specific needs of the receiver.
Innovation Solution
A computer-implemented system and method that uses intelligent interfaces to progressively transmit object features of cognition structure objects, prioritizing rough data and gradually increasing detail based on the receiver's needs, allowing for more efficient use of the transmission channel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all data are transmitted at once using conventional data compression methods, then the transmission is simple to implement, but the transmission channel becomes a bottleneck and efficiency is significantly restricted
Solution Approach 1:
The patent segments the data transmission process into multiple progressive stages, where data are transmitted in increasing levels of detail rather than all at once. This segmentation allows the receiver to stop transmission at any stage based on its needs, thereby reducing the total amount of data transmitted while maintaining transmission efficiency.
Solution Approach 2:
The patent applies preliminary action by first transmitting a rough, low-detail version of the data set before transmitting more detailed information. This allows the receiver to assess whether the rough version is sufficient, and if so, avoid receiving the more detailed data, thus reducing overall transmission volume.
2Adaptability or versatility
If data compression is applied to all data at a determined quality or data rate, then the transmission process is simplified, but the transmission channel is not used effectively and a bottleneck occurs
Solution Approach 1:
The patent introduces dynamics by making the transmission quality adaptive rather than fixed. The system dynamically adjusts the level of detail transmitted based on the receiver's specific needs and the importance of different data elements, allowing the transmission channel to be used more effectively without sacrificing adaptability.
Solution Approach 2:
The patent changes the parameter of data quality from a single fixed value applied to all data to multiple variable quality levels applied selectively to different data elements. This allows critical data to be transmitted at high quality while less important data are transmitted at lower quality or omitted entirely, improving channel utilization.
3Loss of time
If progressive data compression methods based on wavelets are used, then piece-by-piece reconstruction is allowed and data transmission can be canceled early, but all data are still transmitted until cancellation occurs
Solution Approach 1:
The patent extracts and transmits only the most essential data elements first, separating them from less important data. This extraction approach allows the receiver to obtain sufficient information from a reduced data set, eliminating the need to transmit all data even when early cancellation is possible.
Solution Approach 2:
The patent applies partial action by transmitting only the necessary portion of data required to meet the receiver's needs, rather than transmitting all data and allowing cancellation. This selective transmission reduces the total data volume while maintaining flexibility in transmission timing.
Data Source
AI summary
A computer-implemented system for progressively transmitting of knowledge between system nodes of a network structure comprises a plurality of system nodes and intelligent interfaces by which respective system nodes are coupled with each other for performing a communication. The intelligent interfaces transmit object features of cognition structure objects comprising knowledge, information and data depending on a respective question of a respective one system nodes progressively more faithful to detail from another of the respective system nodes to the one of the respective system nodes. Furthermore, there are disclosed a corresponding method and a computer program product relating to the system and method.