Différences

Ci-dessous, les différences entre deux révisions de la page.

--- projets:plim:20142015:gr13 [2014/11/20 17:57] – [MAIN INFORMATIONS about the Project] alfonsi
+++ projets:plim:20142015:gr13 [2014/11/23 20:30] (Version actuelle) – [GROUP GR13] alfonsi
@@ Ligne 1: / Ligne 1: @@
 ====== Projets Objets Connectés et Services (OCS) ======
 ==== GROUP GR13 ====
-==== MAIN INFORMATIONS about the Project ====
-=== MEMBERS ===
 === Title of the Project : Light Sensor to Weather ===
@@ Ligne 43: / Ligne 40: @@
   * home light : 51-100000 lux, from 7pm to 6am
   * sunrise : 10001-30000 lux, at 6am
-Once the neural network is trained, we can determine the weather using this network, the current lux value and the current time.
-// quelques lignes sur le projet //
-// indiquer les données collectées sur le téléphone, le nom de l'API et du namespace .Net pour cela//
-// indiquer les informations que vous voulez obtenir après traitement (classification ...) des données collectées//
-// indiquer la manière dont vous présenterez les informations obtenues à l'utilisateur//
-// indiquer si vous souhaitez utiliser les informations obtenues pour d'autres fonctionnalités comme des actions sur votre téléphone//
@@ Ligne 63: / Ligne 48: @@
 To execute our project, you will need to have Visual Studio 2013 SP2 (or later) and the Windows Phone 8.1 SDK (or later) installed on your computer. Then you can should create a new Windows Phone 8.1 project and import our project files to it. You should be able to run the project without adding any .dll.
-   * Project zip file
+   * Project
-[[https://drive.google.com/file/d/0B7i70Bg2z72QN05tbFRfcU9kZTg/view?usp=sharing]]
+zip file : [[https://drive.google.com/file/d/0B7i70Bg2z72QN05tbFRfcU9kZTg/view?usp=sharing]]
    * All required softwares
@@ Ligne 76: / Ligne 62: @@
 To use our application, just launch it. [[https://drive.google.com/file/d/0B7i70Bg2z72Qa3RTWkxNVmxVdEE/view?usp=sharing|There is only 1 view.]] On this view you can see the current LUX value from the light sensor, the current time, and the current weather deduct by the previous values.
-These values are all update every time the light sensor detect a change new LUX value.
+These values are all update every time the light sensor detect a change of the lux value.
 === RESULTS  ===
-// Write a summary of the main results of the project //
+As expected, once the neural network is trained, we can determine the weather using this network, the current lux value and the current time.
-=== Optionnal but considered in the evaluation : An 2 pages ACM paper on your results ====
-// Optionnal but considered in the evaluation //
-//if you finnd enough time, you can write a 2 pages paper about your project in a professional ACM format. This paper will be submitted to other researchers in the field and perhaps to present  a poster in a conference and/or Workshop
-//
-**A Paper ACM Format :**
-[[http://www.acm.org/sigs/publications/pubform.doc|Word ACM Format]]
-=== CONSIGNES ET RAPPELS ===
-== Quelques consignes : ==
-  - //  Warning : everything must be written in english ....//
-  - // Warning : every added file (ex. figures, picture, sources, binaries, video ...) must be added through a web links on a Web repository. You can use such a syntax to integrate the link in this page :// <code> [[http://example.com|Lien externe]] </code>
-  - //For more informations on DokuWiki syntax go to// [[https://www.tigli.fr/doku.php?id=wiki:syntax|syntax dokuwiki]]
+Unfortunately, we didn't have a Windows Phone during the last test phase, and the simulator can only simulate the presence of a Light Sensor, we couldn't change its lux value. So the accuracy of our application might be really bad.
+To fix this problem, we should make a better dataset, looking for lux values with a Windows Phone for each time and each weather. Then use this dataset in stead of our actual values to train the neural network.