A system and method for facilitating a user defined virtual space is disclosed. One or more virtual space locations and/or activities may be correlated with user specified geolocations. In some implementations, the user specified geolocations may be verified against one or more spatial requirements prior to recording the user selected space-geolocation correlations. A user request to initiate an action or activity in the virtual space may be received. Prior to executing the requested action or activity in the virtual space, the user current geolocation may be verified against that specified in a space-geolocation correlation corresponding to a virtual space location or activity indicated in the user request.

Examples described herein include systems and methods for providing user-specific applications on a shared user device. The user device can receive a first instance of an application having a Package ID that includes an identification of a first user. When the first user is logged in, the user device can display an icon associated with the first instance of the application, based on the Package ID including an identification of the first user. When the first user is not logged in, the user device can hide the first instance of the application. When a second user is logged in, the device can display a second instance of the application based on the Package ID of the second instance including an identification of the second user. The user device can also display the same instance of a shared application to both the first and second user.

Examples described herein include systems and methods for providing user-specific applications on a shared user device. The user device can receive a first instance of an application having a Package ID that includes an identification of a first user. When the first user is logged in, the user device can display an icon associated with the first instance of the application, based on the Package ID including an identification of the first user. When the first user is not logged in, the user device can hide the first instance of the application. When a second user is logged in, the device can display a second instance of the application based on the Package ID of the second instance including an identification of the second user. The user device can also display the same instance of a shared application to both the first and second user.

Generally described, the presently disclosed technology utilizes managed Wi-Fi networks pre-installed throughout an MDU property to provide user-specific passphrases that can be used to access the single-SSID wireless network at the property and to provide a cloud portal that can enable convenient access to the functionalities (both by the resident and the manager) provided by the Wi-Fi controller and the Wi-Fi access points. By doing so, the Wi-Fi network management solutions described herein allow the users to experience the benefits of a shared Wi-Fi infrastructure, such as not having to set up and maintain their own Wi-Fi routers, while also allowing them to easily change their Wi-Fi settings from their connected devices.

Systems and methods are disclosed for application data amalgamation through integration with third-party applications. A dynamic stub operates within a user interface application on a client computing device. The dynamic stub enables integration of functionality of an associated middleware system. The dynamic stub extracts data from a user interface of a third-party application system based on a set of data capture components. The dynamic stub transmits data to the middleware system. The middleware system transmits information back to the dynamic stub based on the data. The middleware system can reconfigure the dynamic stub in order to alter at least a portion of the user interface based on the information received from the middleware system.

Systems and methods are disclosed for application data amalgamation through integration with third-party applications. A dynamic stub operates within a user interface application on a client computing device. The dynamic stub enables integration of functionality of an associated middleware system. The dynamic stub extracts data from a user interface of a third-party application system based on a set of data capture components. The dynamic stub transmits data to the middleware system. The middleware system transmits information back to the dynamic stub based on the data. The middleware system can reconfigure the dynamic stub in order to alter at least a portion of the user interface based on the information received from the middleware system.

Systems and techniques for indexing and/or querying a database are described herein. Multiple, large disparate data sources may be processed to cleanse and/or combine item data and/or item metadata. Further, attributes may be extracted from the item data sources. The interactive user interfaces allow a user to select one or more attributes and/or other parameters to present visualizations based on the processed data.

Systems and techniques for indexing and/or querying a database are described herein. Multiple, large disparate data sources may be processed to cleanse and/or combine item data and/or item metadata. Further, attributes may be extracted from the item data sources. The interactive user interfaces allow a user to select one or more attributes and/or other parameters to present visualizations based on the processed data.

An improvement to automatic classifying of threat level of objects in CT scan images of container content, methods include automatic identification of non-classifiable threat level object images, and displaying on a display of an operator a de-cluttered image, to improve operator efficiency. The de-cluttered image includes, as subject images, the non-classifiable threat level object images. Improvement to resolution of non-classifiable threat objects includes computer-directed prompts for the operator to enter information regarding the subject image and, based on same, identifying the object type. Improvement to automatic classifying of threat levels includes incremental updating the classifying, using the determined object type and the threat level of the object type.

An improvement to automatic classifying of threat level of objects in CT scan images of container content, methods include automatic identification of non-classifiable threat level object images, and displaying on a display of an operator a de-cluttered image, to improve operator efficiency. The de-cluttered image includes, as subject images, the non-classifiable threat level object images. Improvement to resolution of non-classifiable threat objects includes computer-directed prompts for the operator to enter information regarding the subject image and, based on same, identifying the object type. Improvement to automatic classifying of threat levels includes incremental updating the classifying, using the determined object type and the threat level of the object type.