Abstract: Monitoring a premises may comprise receiving signals from a plurality of devices. One or more spatially static devices of the plurality of devices may be determined based on strengths of the received signals. A user activity pattern may be determined based on changes in strengths of signals received from the spatially static devices. Abnormal user activity may be determined based on the user activity pattern and a strength of at least one signal received from at least one of the spatially static devices.

Abstract: The present disclosure relates to the technical field of filters, in particular to a foldable filter element, including a foldable filter assembly, a bottom setting end cover that is covered at a bottom end of the foldable filter assembly, a top setting end cover that is covered at an upper end of the foldable filter assembly, first sealing cotton arranged between the bottom setting end cover and the foldable filter assembly, and second sealing cotton arranged between the top setting end cover and the foldable filter assembly. The present disclosure has the characteristics of rational structure setting and effectively reducing the structure complexity and reducing the production cost. In addition, the present disclosure further provides a filter with the foldable filter element.

Abstract: Methods, apparatuses, and systems are described for allocating a plurality of frequencies for use by a plurality of network devices. Measurement data associated with the plurality of network devices may be used to determine interference data. The interference data may be used to determine an allocation of the plurality of frequencies for use by the plurality of network devices.

Abstract: Methods, systems, and apparatuses for managing a wireless network are described herein. A wireless network may include a gateway device, an access point, and a group of client devices. An analytics engine may determine a signal characteristic data for a client device, which may indicate network telemetry data for each of the client devices or associated locations during a time period. The analytics engine may utilize a trained classifier to determine that a signal characteristic indicated by the signal characteristic data for a client device satisfies a threshold.

Abstract: Systems, apparatuses, and methods are described for presence detection of a wireless device in a sensing region. Communication parameters determined by a computing device over one or more periods may be used to generate criteria for determining the occurrence of enter events or leave events. The criteria may comprise, for values of one or more communication parameters, rates of change associated with movement into or out of the sensing region. The criteria may be compared against subsequent data associated with the communication parameters to determine if an enter event or a leave event has occurred.

Abstract: Systems, apparatuses, and methods are described for presence detection of a wireless device in a sensing region. Communication parameters determined by a computing device over one or more periods may be used to generate criteria for determining the occurrence of enter events or leave events. The criteria may comprise, for values of one or more communication parameters, rates of change associated with movement into or out of the sensing region. The criteria may be compared against subsequent data associated with the communication parameters to determine if an enter event or a leave event has occurred.

Abstract: Methods, systems, and apparatuses for managing a wireless network are described herein. A wireless network may include a gateway device, an access point, and a group of client devices. An analytics engine may determine a signal characteristic data for a client device, which may indicate network telemetry data for each of the client devices or associated locations during a time period. The analytics engine may utilize a trained classifier to determine that a signal characteristic indicated by the signal characteristic data for a client device satisfies a threshold.

Abstract: At least one device can be classified based on user activity. At least one telemetry variable with respect to time may be received for the at least one device. The at least one telemetry variable with respect to time may be used to determine an activity model for the at least one device. Based on the activity model, a probability of the at least one device belonging to a profile or to a type of user may be determined. Based on the type of user of the at least one device, a setting associated with the at least one device may be changed.

Abstract: Systems, apparatuses, and methods are described for presence detection of a wireless device in a sensing region. Communication parameters determined by a computing device over one or more periods may be used to generate criteria for determining the occurrence of enter events or leave events. The criteria may comprise, for values of one or more communication parameters, rates of change associated with movement into or out of the sensing region. The criteria may be compared against subsequent data associated with the communication parameters to determine if an enter event or a leave event has occurred.

Abstract: Monitoring a premises may comprise receiving signals from a plurality of devices. One or more spatially static devices of the plurality of devices may be determined based on strengths of the received signals. A user activity pattern may be determined based on changes in strengths of signals received from the spatially static devices. Abnormal user activity may be determined based on the user activity pattern and a strength of at least one signal received from at least one of the spatially static devices.

Abstract: Systems, apparatuses, and methods are described for presence detection of wireless device in a sensing region. Communication parameters determined by a computing device over one or more periods may be used to generate criteria for determining occurrence of enter events or of leave events. The criteria may comprise, for values of one or more communication parameters, rates of change associated with movement into or out of a sensing region. The criteria may be compared against subsequent data, associated with the communication parameters, to determine if an enter event or a leave event has occurred.

Abstract: Methods, systems, and apparatuses for managing a wireless network are described herein. A wireless network may include a gateway device, an access point, and a group of client devices. An analytics engine may determine a signal characteristic data for a client device, which may indicate network telemetry data for each of the client devices or associated locations during a time period. The analytics engine may utilize a trained classifier to determine that a signal characteristic indicated by the signal characteristic data for a client device satisfies a threshold.

Abstract: Systems, apparatuses, and methods are described for presence detection of wireless device in a sensing region. Communication parameters determined by a computing device over one or more periods may be used to generate criteria for determining occurrence of enter events or of leave events. The criteria may comprise, for values of one or more communication parameters, rates of change associated with movement into or out of a sensing region. The criteria may be compared against subsequent data, associated with the communication parameters, to determine if an enter event or a leave event has occurred.

Abstract: Monitoring a premises may comprise receiving signals from a plurality of devices. One or more spatially static devices of the plurality of devices may be determined based on strengths of the received signals. A user activity pattern may be determined based on changes in strengths of signals received from the spatially static devices. Abnormal user activity may be determined based on the user activity pattern and a strength of at least one signal received from at least one of the spatially static devices.

Abstract: Monitoring a premises may comprise receiving signals from a plurality of devices. One or more spatially static devices of the plurality of devices may be determined based on strengths of the received signals. A user activity pattern may be determined based on changes in strengths of signals received from the spatially static devices. Abnormal user activity may be determined based on the user activity pattern and a strength of at least one signal received from at least one of the spatially static devices.

Abstract: Methods, systems, and apparatuses for managing a wireless network are described herein. A wireless network may include a gateway device, an access point, and a group of client devices. An analytics engine may receive network performance data for the wireless network, which may indicate network telemetry data for each of the client devices or associated locations during a time period. The analytics engine may utilize a trained classifier to determine that a performance metric indicated by the network performance data for a client device falls below a desired level of performance. The analytics engine may provide a recommendation regarding an addition or placement of a network device in order to improve the performance metric.

Abstract: Provided are methods and systems for intelligent content controls. A command may be received during presentation of content. The command may be time-driven, context-driven, or a combination of both. An end boundary may be determined based on a duration of time and/or one or more words of the command. Presentation of the content may be terminated at a nearest content transition with respect to the end boundary.