Différences

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

--- projets:plim:20142015:gr3 [2014/11/23 17:59] – casanova
+++ projets:plim:20142015:gr3 [2014/11/23 21:38] (Version actuelle) – casanova
@@ Ligne 27: / Ligne 27: @@
 __Prerequisite :__ To be connected to the wireless network
-This application can suggest you, depends of your location, the appropriate wireless\\ The suggested wireless networks are register into the application.\\ The goal of this app is not to suggest you the wireless networks available but the best appropriate.\\ The application recorded your latitude and longitude.
+The goal of this application is to suggest you, depends of your location, the appropriate wireless network.\\ The suggested wireless networks are register into the application.\\ The goal of this app is not to suggest you all wireless networks available but the best appropriate.\\ For that, the application recorded your latitude and longitude precisely.
-For this project, we use two type of data :
+For this project, we use two types of data :
   * The location of the user : latitude and longitude\\ => We use the //Windows.Devices.Geolocation// API
-  * The SSID of the wireless network where the phone is connected\\ => We use the //Windows.Networking.Connectivity.ConnectionProfile// API
+  * The SSID of the wireless network to which the phone is connected (String format)\\ => We use the //Windows.Networking.Connectivity.ConnectionProfile// API
-After treatment, we obtain different cluster. Each cluster for each SSID. Inside this cluster, there are a list of location. Indeed, when the system recognize the same SSID, it will calculate the distance between the location of the user and the location stored . If this distance is less than 30 m, the system will add the new location in the group. If  the SSID is not stored in the system. It will add a new cluster.\\ We store all the data in file txt. We use the JSON format.
+During this project, we implemented only the part which create cluster and display the group corresponding.
+After treatment, we obtain different cluster. Each cluster for each SSID. Inside this cluster, there is a list of locations. Indeed, when the system recognize the same SSID, it will calculate the distance between the location of the user and the location stored. If this distance is less than 30 m, the system will add the new location in the group.But if the SSID is not stored in the system, it will add a new cluster.\\ We store all the data in file txt. We use the JSON format.
 In the user interface of the application, you can see :
   * The current location (longitude and latitude)
   * A list of the SSID group already found.
-When the system will find the best group, it will highlight the group in blue
+When the system will find the best group, it will highlight the group in blue.
-In the future, it could be interesting to implement the possibility to choose the best appropriate wireless network just with the location of the user.
+See how the application looks like : [[https://drive.google.com/file/d/0BxQ_Eu4bFWF1LVZuTnliXzgwUmc/view?usp=sharing|screenshot]]
+In the future, it could be interesting to implement the possibility to suggest the best appropriate wireless network just with the location of the user.
@@ Ligne 65: / Ligne 69: @@
 === RESULTS  ===
-see how the application looks like : [[https://drive.google.com/file/d/0BxQ_Eu4bFWF1LVZuTnliXzgwUmc/view?usp=sharing|screenshot]]
+Our application collect the data from Windows Phone sensors and we tried to make clusers and use them for calculate informations that we needed.
+Thanks to this project, we learned how to implement a Windows Phone application and how to exploit data from sensors (Gelocation).