Aspects of the invention are directed towards a system and a method for uniformly characterizing equipment category. One or more embodiments of the invention describe the method comprising steps of extracting a plurality of data points from data stream received from a plurality of equipment within an equipment category. The method also comprises steps of normalizing the varying frequency of the extracted data points to generate time normalized information corresponding to each of the plurality of equipment. The method comprises steps of manipulating a plurality of variances in the translated uniform data stream received from each of the plurality of equipment within the equipment category. The method comprises steps of generically mapping the normalized information to one or more aggregation methods and for mapping the output of aggregation methods to one or more reusable data processing algorithms to generate a plurality of uniform equipment characteristics corresponding to the equipment category.

A method for controlling operation of garden equipment with a battery pack including a control unit for performing the method, when the battery back is inserted into a recess of the garden equipment and in data communication, via a data bus, with a control unit of the garden equipment. The control unit reads an identifier of the garden equipment, which identifier is used to retrieve operational control data for the specific garden equipment from a memory medium of the control unit. The control unit also collects sensor data from garden equipment sensors and controls the operation of the garden equipment from the control unit based on the retrieved control data and the collected sensor data.

A method for controlling operation of garden equipment with a battery pack including a control unit for performing the method, when the battery back is inserted into a recess of the garden equipment and in data communication, via a data bus, with a control unit of the garden equipment. The control unit reads an identifier of the garden equipment, which identifier is used to retrieve operational control data for the specific garden equipment from a memory medium of the control unit. The control unit also collects sensor data from garden equipment sensors and controls the operation of the garden equipment from the control unit based on the retrieved control data and the collected sensor data.

A computer-implemented method for identifying device intersections using application data derived from multiple mobile devices. The method extracts the unique devices identified in a user defined area of interest (AOI) and generates individual geospatial layers for each device. The layers are derived from the metadata containing coordinates and associated timestamps for all available points of the device. Combining the individual layers will produce a convergence surface of polygonal intersections, indicating where devices have shared additional locations outside the initial AOI. Applying the timestamp to the resulting layer with a user defined time interval will generate a probability matrix of association.

A computer-implemented method for identifying device intersections using application data derived from multiple mobile devices. The method extracts the unique devices identified in a user defined area of interest (AOI) and generates individual geospatial layers for each device. The layers are derived from the metadata containing coordinates and associated timestamps for all available points of the device. Combining the individual layers will produce a convergence surface of polygonal intersections, indicating where devices have shared additional locations outside the initial AOI. Applying the timestamp to the resulting layer with a user defined time interval will generate a probability matrix of association.

The embodiments of the present disclosure provide a method for a shared bicycle delivery and an operation area planning in a smart city and an Internet of Things (IoT) system thereof. The method may be implemented based on a management platform of the Internet of Things (IoT) system. The method includes: obtaining reference information of people flow in at least one target area, determining a predicted people flow in the at least one target area at a target time, and determining a demand quantity for shared bicycles; obtaining historical data of shared bicycles in a plurality of reference areas, and predicting a variation quantity of shared bicycles in the at least one target area at the target time; and determining a delivery quantity of shared bicycles in the at least one target area at the target time.

The embodiments of the present disclosure provide a method for a shared bicycle delivery and an operation area planning in a smart city and an Internet of Things (IoT) system thereof. The method may be implemented based on a management platform of the Internet of Things (IoT) system. The method includes: obtaining reference information of people flow in at least one target area, determining a predicted people flow in the at least one target area at a target time, and determining a demand quantity for shared bicycles; obtaining historical data of shared bicycles in a plurality of reference areas, and predicting a variation quantity of shared bicycles in the at least one target area at the target time; and determining a delivery quantity of shared bicycles in the at least one target area at the target time.

Examples of electronic devices are described herein. In some examples, an electronic device includes a transmitter. In some examples, the transmitter may transmit a first beacon and a second beacon. In some examples, the first beacon may be associated with a first account. In some examples, the second beacon may be associated with a second account. In some examples, the first account includes a different beacon control privilege relative to the second account.

Embodiments detect stops by an entity on a pre-planned trip that includes a plurality of stops. For each stop of the plurality of stops, embodiments determine a distance to a nearest stop and generate a geofence for each of the stops, each geofence having a radius having a size based on the distance. Embodiments detect the entity entering one of the geofences and, based on the detecting the entity entering one of the geofences, determine that the entity has stopped at a corresponding stop.

A method including receiving a first reference signal, wherein the first reference signal is having a first bandwidth in a first frequency range, determining an angle of arrival of a line of sight component of the first reference signal, receiving a second reference signal, wherein the second reference signal is having a second bandwidth in a second frequency range, wherein the second bandwidth is greater than the first bandwidth, determining a time of arrival of a line of sight component of the second reference signal, based on the first reference signal and on the second reference signal, determining a link quality measure, and based on the link quality measure, the time of arrival and the angle of arrival, performing a position estimation to obtain an estimated position, wherein the first reference signal and the second reference signal are received from a same transmit-receive point.