Selective Multi-Modal Data Transmission Alteration
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Solution Overview
Problem
In network communications, altering data in a communication line between nodes can introduce latency and other detrimental effects, such as signals being received out of order or at inappropriate transmission levels, which can disrupt node operations and synchronization processes.
Innovation Solution
A system and method for selective multi-modal data transmission alteration, where an interface alteration processor identifies condition evaluation rules and alteration rules to determine whether to alter data, generating altered data based on these rules while ensuring transmission tolerance levels to minimize detectable changes to the destination node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is altered in a communication line between nodes, then data transmission can be modified to achieve specific operational states, but latency is introduced during the alteration process which can disrupt node operation and synchronization
Solution Approach 1:
The system performs preliminary evaluation of incoming data to determine if and how it should be altered before actual alteration occurs. Condition evaluation rules are applied to assess data that has not yet been processed, allowing the system to prepare alteration strategies in advance while maintaining real-time transmission capabilities. This preliminary assessment enables the system to minimize processing delays during actual data transmission.
Solution Approach 2:
The data transmission process is divided into distinct segments: an evaluation portion that is analyzed first to determine alteration needs, and an alterable portion that is processed based on evaluation results. This segmentation allows the system to evaluate data characteristics without waiting for complete data reception, enabling parallel processing and reducing overall latency while maintaining data integrity.
2Adaptability or versatility
If data alteration processing is performed, then specific data transmission states can be achieved, but buffering systems introduce additional latency
Solution Approach 1:
The system dynamically adjusts its processing approach based on real-time data characteristics and transmission conditions. Rather than using static buffering for all data, the system adapts its alteration and transmission timing based on evaluated data portions, allowing flexible control over processing speed and transmission timing without introducing fixed buffering delays. This dynamic approach enables the system to maintain low latency while achieving desired transmission states.
3Adaptability or versatility
If data is transmitted through an alteration device, then data can be modified to influence node behavior, but signals may be received out of order or at inappropriate transmission levels
Solution Approach 1:
The system incorporates feedback mechanisms where condition evaluation rules assess incoming data characteristics and transmission states, then adjust alteration strategies accordingly. This feedback loop ensures that data alterations maintain appropriate transmission levels and ordering by continuously monitoring transmission conditions and adjusting processing parameters. The feedback enables the system to detect and correct potential integrity issues before they affect node operations.
Solution Approach 2:
The system changes key transmission parameters such as data ordering, transmission levels, and timing based on evaluated conditions. By dynamically adjusting these parameters during the alteration process, the system maintains signal integrity while achieving desired data modification objectives. Parameter changes are applied selectively based on condition evaluation results, ensuring that alterations improve rather than degrade transmission reliability.
Data Source
AI summary
System and methods for an interface alteration device that recognizes in incoming data whether certain predefined conditions exist based on condition evaluation rules, and, as appropriate, alters certain portions of the incoming data based on alteration rules. Transmission tolerance levels also define how transmission of data is to be performed so that the destination node to which the altered and/or unaltered data is transmitted will be unaware that alteration has occurred to the data stream.