Recent Stock Market Pictures & Work in Other Domains


Summary Points:
1)  Actionable Domain Insights Generated
      2)  By Changes in Architecture, Software, Data, Metrics


A Typical View of Stock Value at 30 Second Blocks - Linear  Metric - Averaging




Same Collection of Stocks at Finer Level Detail
Using Non-Linear Similarity Profile Metrics
Collection of Stocks Found to be Non-Linearly Correlated 


Finer Level Details in Smaller Time Range Above;
Below is larger Time Span with Same Stocks

Domain Level Insight Into Market Movement
Creating Actionable Opportunity


Below A Very Small Timeline Segment of Stock trades within a 1 second band
Common Practices Average 1 second values - erasing true Insight 



Other Domains Also Average Data Sets
Below are Pharma Genomic Interaction Correlations


Non Linear Metrics in Upper Triangle - Linear in Lower Right Triangles
Deeper Implication is that world is missing opportunities 
Other Metrics Exist Providing Better Insight and Efficiency

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Larger Industrial Domains Insight - Using Alternative Metrics Sets

$100 M / mo  - 10 x Return On Investment
Bought Out by Intel ( / Chip ) Manufacturer 


Above Business Requirements, Solution that could answer any commercial aviation domain question
Capability: Large Compressed Graph Index of all Domain data sets
Associated in triple space by Entity - Attribute - Entity Chaining
A set of non-linear similarity metrics that could determine similar profiles over large graphs
Questions Answered included:
Customer Ops Center - Airplane On Ground Problem Reports
What parts a specific customer is interested in most - cost, time ? 
What Designs ? What Structures ? What Plane Models ? From What Line ? 
What Customers had similar operational requirements ?
What set of parts do I need to have in inventory now, next week ?
How Many and where needed ?
What Tools are needed ?
What engineering staff do you need to fix ?
The Inputs were:
All - Parts, Designs, Drawings, Customers, Airlines, Line numbers, Aircraft Numbers, 
 Part Numbers Mapping to Function
 (ATA-2 - System, ATA-4 - Subsystem, ATA-6 -Assemblies, ATA-8 - LRU) 




PtolemyII Modeling and Simulation Tool - Linked System Blocks
Varying Inputs - Assess Parameter Sensitivity in Signals Vs Noise Studies
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In older tradition, experimental evidence provided basis to determine model parameters
Below is Alternate Data Driven Deep Learning Predictive Model



Below Detailed View of Non-Linear System Degradation within a Jet Engine Turbine


 
Figure Generated by Patrick Harris using GPU, as an alternate to Dr. Wagner's infrastructure; Dr. Wagner's infrastructure scales better and less expensive than multiple GPU's. More Details here - if you were to ask me during a review.


Figure Generated by Dr Alan Wagner in consultation with Dr Paul Hoffman and Patrick Harris













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