Dynamic Data Handling via Variable Clock and Power Interruptions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current binary data handling systems face challenges in efficiently processing and transferring complex real-life data due to their fixed time durations and binary state limitations, which complicates sequencing and configuring hardware components for effective data handling and communication.
Innovation Solution
A novel data handling system that employs a dynamic approach by using variable clock components and statistical and probabilistic analytical engines to manage data from multiple sources, enabling data processing, storage, and communication with dynamically determined electrical and temporal characteristics, allowing for interruptions and resumptions of electricity supply to selected components for optimized data handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed time duration binary states are used for data handling, then hardware components can be configured with fixed logic gates, but the system cannot efficiently process complex real-life data due to sequencing challenges
Solution Approach 1:
The patent applies dynamics by transitioning from fixed time duration binary states to dynamic temporal patterns where data is represented by variable duration signals. The system uses a variable clock mechanism that can adjust the timing characteristics of data signals based on the complexity and requirements of the data being processed, enabling efficient handling of complex real-life data while maintaining hardware configurability through software-controlled temporal patterns.
2Device complexity
If binary system with two fixed states is used, then logic functions can be implemented with simple logic gates, but real life problems are too complex for structuring into series of questions and answers
Solution Approach 1:
The patent applies parameter changes by extending the binary system from fixed two states to a spectrum of temporal patterns. Instead of changing only the logical state (0 or 1), the system varies temporal parameters such as signal duration, interval between signals, and timing patterns. This allows the system to represent complex real-life problems through variations in temporal parameters while maintaining the simplicity of binary logic gates, thereby increasing adaptability without sacrificing device complexity.
3Productivity
If continuous electricity supply is maintained to all components, then data processing can continue without interruption, but energy consumption increases and energy leakage occurs
Solution Approach 1:
The patent applies periodic action by implementing intermittent electricity supply to data handling components based on the temporal patterns of data processing. Instead of continuous power supply, the system uses periodic activation where power is supplied only during the temporal intervals when data processing is actively required. The variable clock mechanism coordinates power supply with processing cycles, enabling continuous data processing capability when needed while minimizing energy consumption and leakage during idle periods through systematic power interruption.
Data Source
AI summary
An approach to data handling based upon the temporal extents of the interruptions to supply of electricity to selected components is provided. At present, digital electronics and computing is primarily based on the binary system, with fixed time duration in and between the two electricity states in components. Considering the limitations posed, the present innovation employs instruments that utilize the no electricity temporal extents in the selected components, or parts thereof, in the data handling system (100) as a basis for reasoning over plurality of information, simultaneously. The use of dynamic durations in electricity states, including ‘no electricity signal’ states, accompanied by the punctuations that adopt dynamically determined temporal and electrical characteristics for data handling, in a scalable manner that is task effective and energy saving is disclosed.