Patrons de conception - S2S: Difference between revisions

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== MVC ==
== MVC ==
* Model: communicate with database : sends logins + comments + settings, to the view and controller
* Model: communicate with database : dictionnary


* View: video chat interface for each client
* View: one window with streams from different computers + users window (on his computer) with the possibility of adding comments and setting up the view + admin interface


* Controller: updates view and model, processes data
* Controller: updates view and model, processes data



== Message Translator ==
== Message Translator ==

== Spiltter ==
Goal : "Use a special filter, a Message Translator, between other filters or applications to translate one data format into another."

The Sign Language will be converted into text (french).

== Splitter ==

"Use a Splitter to break out the composite message into a series of individual messages, each containing data related to one item."

In this case, each sign will be related to a word or multiple words.

== RBAC (WebRTC) ==
== RBAC (WebRTC) ==
This pattern is involved by the use of WebRTC.
[[File:RBAC.png]]

== Continuous Delivery Patterns (auto-learning) ==
== Continuous Delivery Patterns (auto-learning) ==

A sign will never be exactly the same so that the system has to learn to improve its signs recognition continuously.

Latest revision as of 10:59, 15 February 2016

List of Design Pattern


MVC

  • Model: communicate with database : dictionnary
  • View: video chat interface for each client
  • Controller: updates view and model, processes data

Message Translator

Goal : "Use a special filter, a Message Translator, between other filters or applications to translate one data format into another."

The Sign Language will be converted into text (french).

Splitter

"Use a Splitter to break out the composite message into a series of individual messages, each containing data related to one item."

In this case, each sign will be related to a word or multiple words.

RBAC (WebRTC)

This pattern is involved by the use of WebRTC.

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Continuous Delivery Patterns (auto-learning)

A sign will never be exactly the same so that the system has to learn to improve its signs recognition continuously.