Bit Position Extraction for Low-Power Sensor Data Processing
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Solution Overview
Problem
In sensors with multiple elements, data generation can be arbitrary, leading to excessive power consumption and reduced signal processing efficiency due to the need to explore each element, resulting in increased complexity and processing delays.
Innovation Solution
A data extraction apparatus comprising a data receiving circuit, a complement generating circuit, and a bit position extracting circuit that identifies and extracts target bit positions from input data using bitwise operations, minimizing delays by sequentially extracting bit positions closest to the zeroth bit position and converting data for subsequent cycles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each sensor element is explored to handle arbitrary data generation, then data extraction completeness is improved, but power consumption increases and signal processing efficiency deteriorates
Solution Approach 1:
The patent extracts only the necessary target data from sensor elements rather than processing all elements. The data extraction apparatus identifies and extracts only the relevant bit positions containing target values, eliminating the need to explore every sensor element and thereby reducing power consumption while maintaining extraction completeness.
Solution Approach 2:
The patent segments the data processing task by dividing it into identifying target bit positions and extracting only those specific positions. This segmentation allows the system to process only relevant data portions rather than all sensor element data, improving efficiency and reducing energy usage.
2Reliability
If each sensor element is explored to handle arbitrary data generation, then data extraction completeness is improved, but signal processing efficiency deteriorates
Solution Approach 1:
The apparatus extracts only the essential target data from sensor elements using bit position identification and selective extraction. This approach ensures complete data extraction for arbitrary generation patterns while significantly improving processing efficiency by avoiding unnecessary exploration of all elements.
Solution Approach 2:
The patent performs preliminary identification of target bit positions before extracting the actual data. This preliminary action optimizes the subsequent extraction process by pre-determining which positions contain target values, thereby improving overall processing efficiency without compromising completeness.
3Reliability
If complex data exploration is performed on all sensor elements, then data extraction completeness is improved, but processing delays increase
Solution Approach 1:
The patent extracts only the necessary target information from sensor elements rather than performing comprehensive exploration of all elements. This selective extraction approach ensures complete data retrieval while minimizing processing delays by focusing only on relevant data positions.
Solution Approach 2:
The processing task is segmented into identifying target bit positions and extracting only those positions. This segmentation eliminates unnecessary processing steps and reduces time loss while maintaining complete data extraction for arbitrary generation scenarios.
4Reliability
If comprehensive data exploration is performed, then data extraction completeness is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential target data from sensor elements using a simplified approach that identifies target bit positions and extracts them selectively. This method achieves complete data extraction without requiring complex processing of all elements, thereby reducing device complexity.
Data Source
AI summary
An apparatus is configured to extract a rightmost bit position of a target value based on input data and a complement of the input data, sequentially extract a bit position of the target value, and output the extracted bit position.