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sustcodecamp2016:group6:start [2016/03/04 14:43]
tttgiang2510 [Link to our project] 		sustcodecamp2016:group6:start [2016/03/11 14:24]
tttgiang2510 [Documentation]
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 ====== Set up Topology ====== ====== Set up Topology ======
 +{{:sustcodecamp2016:group6:topology_of_our_system_code_camp.jpg?200|}}
 +{{:sustcodecamp2016:group6:untitled.jpg?200|}}
  
-====== Feature ======+In our solution, Raspberry Pi plays role of a hardware for FHEM server. The Raspberry Pi and LAN adapter have been connected to a switch for getting an access to the same network. Due to this, sensors can communicate with the server sending messages through the adapter. Figure 1 illustrates the topology of our system and figure 2 is how the sensors will be implemented in the room.
  
 +====== Data Flow Diagram ======
 +
 +https://www.dropbox.com/s/ggcruj07e1jhhn0/DataFlow_Diagram.png?dl=0
 +
 +====== Features ======
 +   * Controling the heating system based on users' occupancy status (demo in our presentation session)
 +   * Adjust the heating system based on temperature to maintain comfort level (demo in our presentation session)
 +   * A demo for both the machine learning and the API can be accessed here:
 +http://lutcodecamp.herokuapp.com/
 ====== The protocol to present ====== ====== The protocol to present ======
  
 Thread Thread
  
 +====== Documentation ======
 +   * **Project & THREAD protocol presentation:** 
 +https://docs.google.com/presentation/d/18gW9FjOmSpQQ5IHOSzZ0UJuOR6vocy2PMIC_H8MeKfE/edit?usp=sharing
 +
 +   * **Project report:** 
 +
 +https://www.dropbox.com/s/gc3wm78gtvlk6k5/HomeAutomationCodeCampReport_Group%206.pdf?dl=0
 + //(Old version submitted on 4 March, see the seminar paper in the link below)//
 +
 +   * **Seminar paper for the project:** 
 +
 +{{:sustcodecamp2016:group6:codecamp-report_2016.pdf|}}
 +
 +   * **Project poster:** 
 +https://www.dropbox.com/s/njags1uv6n4dacy/poster.pdf?dl=0
 ====== Links to our project ====== ====== Links to our project ======
    * FHEM Server & Implementation: https://bitbucket.org/vh4x/fhem/src    * FHEM Server & Implementation: https://bitbucket.org/vh4x/fhem/src
    * Machine learning source code: https://bitbucket.org/vh4x/homelearning/src    * Machine learning source code: https://bitbucket.org/vh4x/homelearning/src