CPC Class H04W

An example method of determining geolocations of objects based on information retrieved from heterogeneous data sources comprises: receiving, from a first data source associated with an object by an ontology-defined relationship, a first dataset including a first data item specifying a first time identifier and a first geolocation associated with the object; receiving, from a second data source associated with an object by an ontology-defined relationship, a second dataset including a second data item specifying a second time identifier and a second geolocation associated with the object; and determining, by applying a rule set associated with the ontology to the first dataset and the second dataset, a geolocation of the object and a corresponding time identifier.

An electronic device is disclosed. The electronic device comprises: a memory including at least one command; and a processor connected to the memory to control the electronic device, wherein by executing the at least one command, the processor obtains an image according to a user's interaction with the electronic device, obtains information about the user's intention according to information about an object obtained from the image and context information obtained during the interaction, and obtains information concerning the obtained object from a knowledge base stored in the memory, according to the information about the user's intention, wherein the knowledge base includes device information about a plurality of electronic devices used during the user's activity, object information about a plurality of objects obtained according to the activity, and intention information corresponding to correlative information, and the processor obtains, from the knowledge base, information concerning the obtained object according to the intention information corresponding to the obtained object.

A method for detecting abnormal behavior involves constructing words and text documents based on data acquired from mobile phone sensors during defined time intervals. The time intervals are defined based on data from mobile phone sensors indicative of usage patterns of the mobile phone user. Words are constructed for each time interval as a vector including the time interval and sensor-based feature levels. Each sensor-based feature level is mapped to a range of values of a sensor-based feature that are extracted from the sensor data. The text document is constructed from the words based on the time intervals and the sensor-based feature levels. A current routine for each time interval is determined using topic modeling based on the words that most frequently appear in the text document. An alert is generated if the current routine for any time interval deviates from a past routine for a corresponding past time interval.

Systems and methods are provided for controlling display of a workspace. The system includes logic to establish a first level authorization at a display client enabling access to a workspace data set. The workspace data set can have a plurality of entries identifying respective digital assets and locations in the workspace for graphical objects representing the respective digital assets. The plurality of entries can include a particular entry identifying a particular digital asset requiring a second level authorization. The system includes logic to render, for the particular entry, a placeholder graphical object and a prompt. The system includes logic to detect user input indicating selection of the prompt, and in response executing a protocol to establish the second level authorization. Upon establishment of the second level authorization the placeholder graphical object is replaced with a second graphical object to reveal content of the particular digital asset.

During operation, an electronic device may receive, from a second electronic device, information that specifies or that corresponds to one or more distortions, where the one or more distortions are associated with measurements of a physical parameter that are performed by a sensor in the second electronic device. Then, the electronic device may determine, based at least in part on the information, the one or more distortions. Moreover, the electronic device may compare the determined one or more distortions with historical values of the one or more distortions. Note that the historical values of the one or more distortions may be specified by or may correspond to historical information that is received from one or more third electronic devices. Next, based at least in part on the comparison, the electronic device may selectively authenticate an individual associated with the second electronic device.

Disclosed herein is an identity network that can provide a universal, digital identity for users that can be used to authenticate the user by an identity provider for relying parties to utilize for confirming the identity of the user during sign-up. The identity network receives a request from a relying party that includes deep linking to an identity provider selected by the user. The request specifies the user and any other information about the user the relying party is requesting. A service of the identity network launches the application for the identity provider on the user's device and the user logs into the identity provider's application, which provides the user authentication/validation and information about the user to the identity network. The identity network can then provide the information to the relying party, which the relying party can rely on for creating an account with the relying party for the user.