D. Edward Mitchell 16:00, 14 April 2020 (UTC) Hello World!    groupKOS Developer Share —usually UNDER CONSTRUCTION

QAT Noise Analysis Project

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This project aims to sensorize the timing of three electrical latches that latch and unlatch in a ring connection. The project is an analysis performed on a multi-sensor data-log. The log is a time-stamp of the count accumulating from a very fast quartz clock. The quartz is the precision time base, and all measurements to the log are referenced to quartz.

An odd-numbered ring of latches, that each unlatch the next latch ahead of them in the ring, when the latch is latched from behind. A circular tail-chase.

The Quasi Axiomatic Theory paradigm comes to play with the approach to the problem. The problem is approached as a categorical analysis of timing variation based on a quartz time-base.

The sensorization scheme observes principles of location of the sensors, such that the sensing location data are in a principled position to infer assumptions of principle. E.g., a resonant loop with four sensors would afford π/2 resolution on a standing wave of the fundamental harmonic.

Such assumptions allow detection of a slowly-walking wave (standing with slow rotation forward or backward around the ring), by the principled fact that the four sensors would dissonate, and each produce a pulsing signal, with each of those sensor signals carrying (information of 'when') a principled relationship of walking signal frequency, walking-speed, and rate of decay/amplification when tracked for a trend over time. These things are algorithmic. A spreadsheet should suffice. Eventually real-time computer screen data-algorithm-loop-locked-cartoons of multi-channel timing variations would be charming.

All of this computational process is formal.  Not meaning is assigned until the domain expert looks that the membership, using the membership to produce a report from the original data source, and making human judgments about the nature of the core category.  These judgments are then collected if the domain expert types into the comment property of the core category. 


The splash screen of the QAT proof application written for a DARPA funding competition, 2000-2001, by Codasaurus Hex under the design of Paul S. Prueitt, Ph.D.

Local copy of Dr. Prueitt's expression of my work blending with his tech: The Root_KOS and SLIP Enterprise December 9, 2001

As a private character passing for human, a fascination plays my intent matrix:

Focus: What random motions may mean, should their behavior be deciphered.
Intent: Apply computer science principles to noisy timing signals to model the variation of delays among a matrix of sensors.

Preclussions Thought dAxiom / dτ = Experimental Conjecture


Initial thoughts are to algorithmically implement a toroidal moire generator that produces interference patterns that walk the ring forward and backward based on the sub-phase difference of quartz to sensor event.
2nd Thoughts are like, Wow! Did I think of that?
 "To categorize values is akin to making a histogram of data values.  This data-self-categories are used, as example, for pixel information in a computer image, categorizing and counting all the like-color pixels." —Paul Prueitt

Making spook glasses

Codasaurus Hex, the younger, nor the present I, the dumber, know how to apply the QAT paradigm for engineered solutions to any complete degree.

But a gestalt for the paradigm may allow the --uhmm-- the re-purposing of the hands-on skill of QAT programming to a design of a QAT solution that is mostly hardware. That solution would be a hard-circuit data-category-engine for multiple categorical comparisons on live data, where the category-base is the history of the data stream.