projets:plim:20142015:gr3
Différences
Ci-dessous, les différences entre deux révisions de la page.
| Les deux révisions précédentesRévision précédenteProchaine révision | Révision précédente | ||
| projets:plim:20142015:gr3 [2014/11/23 17:56] – casanova | projets:plim:20142015:gr3 [2014/11/23 21:38] (Version actuelle) – casanova | ||
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| Ligne 24: | Ligne 24: | ||
| === Content of the Project === | === Content of the Project === | ||
| - | 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 | + | __Prerequisite :__ To be connected |
| - | For this project, we use two type of data : | + | The goal of this application is to suggest you, depends |
| - | * The location | + | |
| - | * The SSID of the wireless | + | |
| - | 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. | + | For this project, we use two types of data : |
| + | * The location of the user : latitude and longitude\\ => We use the // | ||
| + | * The SSID of the wireless network to which the phone is connected (String format)\\ => We use the // | ||
| + | |||
| + | 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, | In the user interface of the application, | ||
| * The current location (longitude and latitude) | * The current location (longitude and latitude) | ||
| * A list of the SSID group already found. | * 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 | + | See how the application looks like : [[https:// |
| + | |||
| + | In the future, it could be interesting to implement the possibility to suggest | ||
| Ligne 53: | Ligne 58: | ||
| - Windows.Networking.Connectivity.ConnectionProfile \\ | - Windows.Networking.Connectivity.ConnectionProfile \\ | ||
| - | === HOW TO USE IT === | + | === HOW TO USE IT === |
| The app is really easy to use. Indeed, you don’t need to interact directly with the app. | The app is really easy to use. Indeed, you don’t need to interact directly with the app. | ||
| Ligne 64: | Ligne 69: | ||
| === RESULTS | === RESULTS | ||
| - | see how the application | + | Our application |
| + | |||
| + | Thanks to this project, we learned how to implement a Windows Phone application and how to exploit data from sensors (Gelocation). | ||
projets/plim/20142015/gr3.1416765366.txt.gz · Dernière modification : 2014/11/23 17:56 de casanova