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DESCRIPTION:Data Fusion &amp; Resource Management (DF&amp;RM) Dual Node Network (DN
 N)\n\nTechnical Architecture\n\nChristopher Bowman\, PhD.\n\nData Fusion &amp;
  Neural Networks (DF&amp;NN)\n\nDr. Christopher Bowman is the 2018 Joseph Mign
 ogna Data Fusion Award winner of the International Society of Information 
 Fusion and creator of the Bowman Model developed in 1985 for the US Joint 
 Directors of Laboratories (JDL) Data Fusion group. Data Fusion is defined 
 as the process of integrating multiple data sources to produce more consis
 tent\, accurate\, and useful information than provided by any one source. 
 Sensor Fusion is a sub-set of Data Fusion. One example of an application t
 hat might use Sensor Fusion would be using multiple sensors to track Unman
 ned Aerial Vehicles. Dr. Bowman will give us a tutorial on the Data Fusion
  architecture.\n\nThe DNN Technical Architecture provides a standard funct
 ional decomposition of DF&amp;RM software development point designs\, interfac
 e descriptions\, and engineering methodology to enable software tool reuse
  and reduce need for one-of-a-kind DF&amp;RM systems. The goals of the present
 ation include:\n\n- Provide an understanding of the roles for DF&amp;RM\n- Des
 cribe how the Data Fusion heritage can be used to “jump-start” dual Re
 source Management solutions\n- Describe DF&amp;RM Dual Node Network (DNN) Tech
 nical Architecture\n- Provide Problem-to-Solution Mappings for Data Associ
 ation\n\nSpeaker(s): Chris\, \n\nAgenda: \nIntroductions\n\nPresentation\n
 \nQuestion\n\nBldg:  Join Zoom Meeting https://us02web.zoom.us/j/862545082
 57  Meeting ID: 862 5450 8257\, Colorado Spring\, Colorado\, United States
LOCATION:Bldg:  Join Zoom Meeting https://us02web.zoom.us/j/86254508257  Me
 eting ID: 862 5450 8257\, Colorado Spring\, Colorado\, United States
ORGANIZER:dbondurant@mac.com
SEQUENCE:2
SUMMARY:Pikes Peak IEEE Life Member Affinity Group July Virtual Meeting
URL;VALUE=URI:https://events.vtools.ieee.org/m/234437
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Data Fusion &amp;amp\; Resource Manage
 ment (DF&amp;amp\;RM) Dual Node Network (DNN)&lt;span class=&quot;Apple-converted-spac
 e&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Technical Architecture&lt;span cla
 ss=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Christopher Bow
 man\, PhD.&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;Data 
 Fusion &amp;amp\; Neural Networks (DF&amp;amp\;NN)&lt;span class=&quot;Apple-converted-spa
 ce&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Dr. Christopher Bowman is the 2
 018 Joseph Mignogna Data Fusion Award winner of the International Society 
 of Information Fusion and creator of the Bowman Model developed in 1985 fo
 r the US Joint Directors of Laboratories (JDL) Data Fusion group.&lt;span cla
 ss=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\; &lt;/span&gt;Data Fusion is defined as the pr
 ocess of integrating multiple data sources to produce more consistent\, ac
 curate\, and useful information than provided by any one source.&lt;span clas
 s=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\; &lt;/span&gt;Sensor Fusion is a sub-set of Dat
 a Fusion.&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\; &lt;/span&gt;One example of
  an application that might use Sensor Fusion would be using multiple senso
 rs to track Unmanned Aerial Vehicles.&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;
 nbsp\; &lt;/span&gt;Dr. Bowman will give us a tutorial on the Data Fusion archit
 ecture.&lt;/p&gt;\n&lt;p&gt;&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p
 &gt;The DNN Technical Architecture provides a standard functional decompositi
 on of DF&amp;amp\;RM software development point designs\, interface descriptio
 ns\, and engineering methodology to enable software tool reuse and reduce 
 need for one-of-a-kind DF&amp;amp\;RM systems. The goals of the presentation i
 nclude:&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;Provide an understanding of the roles for DF&amp;amp\;R
 M&lt;/li&gt;\n&lt;li&gt;Describe how the Data Fusion heritage can be used to &amp;ldquo\;j
 ump-start&amp;rdquo\; dual Resource Management solutions&lt;span class=&quot;Apple-con
 verted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/li&gt;\n&lt;li&gt;Describe DF&amp;amp\;RM Dual Node Netwo
 rk (DNN) Technical Architecture&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;
 &lt;/span&gt;&lt;/li&gt;\n&lt;li&gt;Provide Problem-to-Solution Mappings for Data Associatio
 n&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/li&gt;\n&lt;/ul&gt;&lt;br /&gt;&lt;br /
 &gt;Agenda: &lt;br /&gt;&lt;p&gt;Introductions&lt;/p&gt;\n&lt;p&gt;Presentation&lt;/p&gt;\n&lt;p&gt;Question&lt;/p&gt;
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