Abstract: Aspects of the disclosure relate to software systems of a tracking system configured to process data from tracking tags affixed to assets to be tracked. The software systems may be used to process data such as payloads, interact with various systems including client facing systems, and make predictions regarding tracked assets. The predictions may provide information regarding the status of the tracked assets during trips. The predictions regarding the trips may include destinations of the assets during the trips, events occurring during the trips, conditions of the assets during the trip, estimated time of arrival at the one or more destinations, etc. The software systems may be robust such that these predictions may be made with minimal or no information pertaining to the trips beyond payloads from tracking tags affixed to the assets to be tracked.

Abstract: Aspects of the disclosure provide for the use and training of a model configured to provide an estimated time of arrival (ETA) for transporting an object. Data may be received from a reader device. The data may identify a tracking tag and a first timestamp. Based on the received data, a location of the tracking tag at the first timestamp may be determined. A starting location and second timestamp for the tracking tag and a destination location and third timestamp for the tracking tag may be identified. A list including at least one dwell time and dwell location for the tracking tag may be identified. The model may be trained to output the ETA, a dwell time, and a dwell location based on the determined location, the starting location, the destination location, the first timestamp, the second timestamp, the third timestamp, and the list.

Abstract: Aspects of the disclosure provide for the use and training of a model configured to provide an estimated time of arrival (ETA) for transporting an object. Data may be received from a reader device. The data may identify a tracking tag and a first timestamp. Based on the received data, a location of the tracking tag at the first timestamp may be determined. A starting location and second timestamp for the tracking tag and a destination location and third timestamp for the tracking tag may be identified. A list including at least one dwell time and dwell location for the tracking tag may be identified. The model may be trained to output the ETA, a dwell time, and a dwell location based on the determined location, the starting location, the destination location, the first timestamp, the second timestamp, the third timestamp, and the list.

Abstract: A ventilator which includes: at least one pair of reciprocating opposed gas moving means, the internal volume of which is arranged to be reduced and enlarged by a balanced drive, said gas moving means being arranged to move gas at a predetermined pressure and/or volume to a delivery tube; control means for regulating the speed and the distance of movement of the drive; wherein the masses of all moving parts are balanced so as to minimise the vibration of the ventilator in use.