Abstract:
The disclosure is directed to controlling of Internet of Things (IoT) devices based on detecting a device and obtaining control information and associated rules for controlling the device. The control functions available to a smart controller can vary based on the condition of the various rules and/or the interaction of the various devices detected.
Abstract:
Methods and systems for receiving an offer from an entrusting device to access one or more devices are disclosed. A trust model module of a first device receives the offer from the entrusting device to provide the first device with permission to access the one or more devices, and determines whether or not to accept the offer from the entrusting device to provide the permission to access the one or more devices, wherein the first device determines whether or not to accept the permission to access the one or more devices based on a relationship between the first device and the entrusting device and/or a relationship between the first device and the one or more devices.
Abstract:
The disclosure is related to confirming an identity of a first user of a first user device. An aspect includes receiving a request to confirm the identity of the first user, determining whether or not there is a relationship between the first user or the first user device and a second user of a second user device or the second user device based on a first list of user interactions associated with the first user device and a second list of user interactions associated with the second user device, and confirming the identity of the first user based on determining that there is a relationship between the first user or the first user device and the second user or the second user device.
Abstract:
Method and apparatuses for constructing a grammar to describe interactions among a plurality of devices in a network are disclosed. An aspect receives, by a network interface of a device, device capabilities of each of the plurality of devices, generates, by a reduced device list generator of the device, a reduced device list representing groupings of the plurality of devices based on the device capabilities, models, by an interaction sequence modeler of the device, one or more sequences of interactions among the plurality of devices using the reduced device list, constructs, by a grammar construction module of the device, the grammar based on the modeled one or more sequences of interactions, and stores the grammar in a memory of the device.
Abstract:
The disclosure relates to creating a time-sensitive grammar. A device receives a plurality of data points, identifies a plurality of time gaps associated with the plurality of data points, each of the plurality of time gaps representing a dwell time or a frequency of occurrence of a data point of the plurality of data points, generates a generic time factor representing a multiple of the plurality of time gaps, and combines the generic time factor with the plurality of data points to create a time-sensitive sequence of data points. The generic time factor may be inserted into the time-sensitive sequence a number of times representing the dwell time or the frequency of occurrence of a corresponding data point of the plurality of data points.
Abstract:
In an aspect, a client device detects a set of proximate client devices. The client device classifies, for each respective proximate client device in the set of proximate client devices, a relationship relative to an operator of the client device based on a local evaluation of one or more interactions between the client device and at least one proximate client device from the set of proximate client devices in response to the detecting. The client device determines whether to automatically trigger a communicative action with one or more proximate client devices from the set of proximate client devices based on the classifying.
Abstract:
Methods and systems for receiving an offer from an entrusting device to access one or more devices are disclosed. A trust model module of a first device receives the offer from the entrusting device to provide the first device with permission to access the one or more devices, and determines whether or not to accept the offer from the entrusting device to provide the permission to access the one or more devices, wherein the first device determines whether or not to accept the permission to access the one or more devices based on a relationship between the first device and the entrusting device and/or a relationship between the first device and the one or more devices.
Abstract:
Method and systems for deriving relationships from overlapping time and location data are disclosed. A first user device receives time and location data for a first user, the time and location data for the first user representing locations of the first user over time, reduces the time and location data for the first user around a first plurality of artificial neurons, wherein each of the first plurality of artificial neurons represents a location of the first user during a first time, transmits the reduced time and location data for the first user to a server, wherein the server determines whether or not the first user and a second user are related based on determining that the first user and the second user have an artificial neuron in common among the first plurality of artificial neurons and a second plurality of artificial neurons.
Abstract:
Methods and apparatuses are disclosed for synchronizing data inputs generated at a plurality of frequencies by a plurality of data sources. A device receives a first set of data points from a first data source of the plurality of data sources generated at a first frequency of the plurality of frequencies, receives a second set of data points from a second data source of the plurality of data sources generated at a second frequency of the plurality of frequencies, selects a time window corresponding to a period of time during which at least a subset of the first set of data points and at least a subset of the second set of data points were generated, and generates a vector representing a first reduced form of the subset of the first set of data points and a second reduced form of the subset of the second set of data points.