Do Good and other Side Projects, Misc. Threads

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Hypothetical Decision Tree

This, approximately, is the decision tree I use to decide if I should accept Linked In connection requests;-)

Google+ Follower Count vs. Time

 I began informally recording my Google+ follower count in June 2013 when it reached 9,000.  Below, is a plot of these values from 6/13/2013 through 8/1/2015.

 Here are some observations:

 • The plot is comprised of 2 fairly linear segments

 • The slope sharply decreased circa December 2013, likely due to Google engineers tuning their social networking algorithm parameters.  Suddenly, gaining new followers on Google+ became much more difficult.  I call this early period its 'inflationary' period after the inflationary epoch in Cosmology/Big Bang, during which the Google+ team was trying to rapidly increase its user base.

 • The slopes are fairly constant in spite of large variations in post frequency and post popularity (one of my posts had almost 300,000 views April 5, 2014, but can you see a jump in the plot?)

CSV file is here

A Method for More Intelligent Touch Event Processing:  summary page

Problem I attempt to mitigate:

With current mobile OSs, a touch event missing a widget's bounding rectangle
by just one pixel frequently activates an unintended widget.

Below is a 'teaser' screenshot from the above summary page.

Screenshot explanation:

The bottom half of the screen has a semi-transparent colored pixel overlay
which indicates to which widget a touch (tap) event would be mapped if my proposed
(first-draft) algorithm were used at the OS level to map touch events to widgets. 
Hint: In addition to widget bounding rectangle, my simple algorithm also considers
the distance from the touch point to the centroids of widgets.

Graph-based platform for Epidemiology causal analysis

Problem: I suspect many medical research studies do not collect data which include the causal variables thereby 'confounding' the ability of researchers to uncover important causal links leading to medical outcomes (good or bad).  This project describes a graph-based platform which would support causal analysis from arbitrarily diverse information sources along with strong annotation of supposed information describing its provenance and estimated validity.  The reason that the word 'unconstrained' is used is because of the inadvertent bias implicit in the budgets and minds of researchers when selecting the variables for which to collect data.

Idea: An unconstrained environmental factors health informatics platform
.  The diagrams below are 'cleansed.'

Motivation:  I first started down this path due to the inadequate efforts of the NIH to uncover the environmental trigger of autism, if such a trigger exists.  However, after developing my ideas, I realized that the proposed platform would make an excellent fully general purpose epidemiology analytic platform capable of inferencing a wide range of medical cause-effect relationships.

The diagram below is an excerpt from an RDF lifestyle/medical/occupational/environmental graph exploring how one
might go about finding patterns leading to an understanding of the causation and/or prevention of specific diseases.

In addition to providing world-class analytics algorithms, it would provide reusable information security and 
researcher-population survey sub-systems so that researchers would not have to spend research dollars
on commonly required IT infrastructure.


   analytics --> 


A graph based topical and relational approach to knowledge representation and learning

The proposed platform could have a major impact on:
  • Education
  • Knowledge Representation
  • Knowledge Graph Browsing
  • Distributed Collaboration
  • Argumentation
An RDF-based graphical e-Learning/MOOC platform originally envisioned in Jan-2010 (PPTX) (PDF)

Three illustrative slides from presentation:

Argument Diagram with expansion to supportive facts and provenance:

Distributed collaboration:

Early ideas for an interactive solar system knowledge graph:
solar system interactive knowledge graph preliminary ideas

Underlying 4-tuple graph data and metadata model + Vocabulary architecture:

Common underlying technologies for both of above:

I developed a core Java in-memory RDF 'triple store' - actually a QuadStore (subject, predicate, object, uuid).

This QuadStore supports a handful of graph query operations and could easily be instrumented to work in a parallel, distributed environment via a TCP agent layer.

Other miscellaneous postings below...
  see my blog for additional tech-related thoughts interspersed through my posts...

Informal Observations on a Google+ Posting

A mini-presentation on an informal experiment related to a Google+ posting's statistics and, especially, the posting of a spreadsheet with statistics on the photo posting.

Here is a link to the PDF presentation

Lens Test Pattern

Here is a home-made lens test pattern.  (The image below is just a low-resolution screenshot - don't use it.)
If you buy a 2' x 3' foam board, you can tape several of these sheets to cover it with test patterns.  I had
Kinkos print 10 sheets on their best color printer and taped these to the foam board.  I also taped a mirror
to the center of the foam board in order to ensure perpendicularity of the optical axis of my camera lens 
with the foam board.

Here is a link to the PowerPoint and PDF versions of the actual file: PPTX  PDF

Image Processed PowerPoint Background (for light text presentations)

Random Software-Generated Background Graphics

Copyright (c) Richard Creamer 2008 - 2014 - All Rights Reserved