Abstract: A neural network system for inferring a location of a target from a plurality of localization parameters derived from a wireless signal and a method of training thereof. The neural network system comprises first and second neural networks. The plurality of localization parameters comprise one or more parameters relating to a velocity of a target and one or more other parameters. The first neural network is trained to infer a set of candidate locations of a target from values of the one or more other parameters. The second neural network is trained to infer a location of the target from values of the one or more parameters relating to a velocity of the target and a set of candidate locations of the target.

Abstract: According to an embodiment there is provided a method of skill classification comprising receiving data indicative of an activity performed by a person, classifying the type or types of activity performed by the person based on the received data, wherein classifying provides an indication of an activity type or activity types as well as an indication of the confidence that an activity has been classified correctly and classifying a skill level associated with a classified activity or classified activities on the basis of the indication of confidence.

Abstract: A system and computer-implemented method for controlling transmission settings for one or more wireless devices in a wireless network. The method comprises: monitoring uplink communications from a sending wireless device to a receiving wireless device; determining one or more link quality metrics comprising a frame loss ratio and one or more signal strength metrics for the uplink communications; determining a link quality between the sending wireless device and the receiving wireless device based on the link quality metrics; determining whether the link quality falls outside of a predefined range; and in response to determining that the link quality falls outside of the predefined range, sending an instruction to the sending wireless device to update one or more transmission parameters to adjust a link budget for future transmissions by the sending wireless device to the receiving wireless device.

Abstract: A system and computer-implemented method for controlling transmission settings for one or more wireless devices in a wireless network. The method comprises: monitoring uplink communications from a sending wireless device to a receiving wireless device; determining one or more link quality metrics comprising a frame loss ratio and one or more signal strength metrics for the uplink communications; determining a link quality between the sending wireless device and the receiving wireless device based on the link quality metrics; determining whether the link quality falls outside of a predefined range; and in response to determining that the link quality falls outside of the predefined range, sending an instruction to the sending wireless device to update one or more transmission parameters to adjust a link budget for future transmissions by the sending wireless device to the receiving wireless device.

Abstract: According to an embodiment there is provided a method for managing wireless communication between a sending wireless device and a receiving wireless device in a wireless network, the method comprising the sending wireless device: transmitting to the receiving wireless device one or more uplink communications using a first transmission setting; determining whether a link quality of the communication link falls outside of a predefined range; and in response to determining that the link quality falls outside of the predefined range: determining at least first and second probing transmission settings that differ from each other and from the first transmission setting; transmitting a first probing transmission using the first probing transmission setting and a second probing transmission using the second probing transmission setting; receiving from the receiving wireless device a selection of one of the first and second probing transmission settings; and adopting the selected probing transmission setting for use w

Abstract: A method of operating a network comprising an edge node and a server. The method comprises obtaining, by the edge node, a plurality of data samples, determining, by the edge node, a plurality of output labels by applying a first machine learning model using an input memory having a first input memory size to the plurality of data samples, calculating, by the edge node, an error term based on the confidence score of a first output label from the plurality of output labels, determining, by the edge node, based on the error term, whether to modify the first input memory size of the machine learning model and, if so, generating a second machine learning model based on the first machine learning model and a second input memory size.

Abstract: According to an embodiment there is provided a method of radio resource allocation performed in a gateway or network server communicatively connected to a plurality of wireless nodes. The method comprises computing, for each spreading factor out of a number of spreading factors, a probability of successful receipt of an uplink communication from a wireless node from the plurality of wireless nodes based on spreading factor settings of the plurality of wireless nodes, determining, for a given link level budget, a spreading factor that provides a maximum likelihood of successfully completing uplink communications and determining, for the determined spreading factor, a transmission power that provides the given link level budget.

Abstract: The present disclosure provides an error detector for determining an error vector between a radio trajectory and an image trajectory. The error detector includes: an input for monitoring a radio trajectory of an object from a radio signal and an image trajectory of an object from an image over an observation area; a correlation module arranged to correlate the radio trajectory with the image trajectory; an error module arranged to determine an error vector between the radio trajectory and the image trajectory; and an output arranged to transmit the error vector for use in determining an estimated trajectory of a target based on a target trajectory from a radio signal.

Abstract: A computer implemented method of matching a series of geolocation measurements to a map using a Viterbi algorithm by determining transition probabilities between pairs of candidate points for consecutive geolocation measurements. The map comprises a plurality of paths. The method comprises segmenting the map into a plurality of segments and, when a distance of the consecutive geolocation measurements is less than or equal to a segment length, determining the transition probability between two candidate points based on a Euclidian distance between the two candidate points and a route distance between the two candidate points. The route distance is equal to the Euclidean distance plus a first predetermined value when the two candidate points are not in the same segment as each other.

Abstract: A computer implemented method of matching a series of geolocation measurements to a map using a Viterbi algorithm by determining transition probabilities between pairs of candidate points for consecutive geolocation measurements. The map comprises a plurality of paths. The method comprises segmenting the map into a plurality of segments and, when a distance of the consecutive geolocation measurements is less than or equal to a segment length, determining the transition probability between two candidate points based on a Euclidian distance between the two candidate points and a route distance between the two candidate points. The route distance is equal to the Euclidean distance plus a first predetermined value when the two candidate points are not in the same segment as each other.

Abstract: A computer implemented method of distributed learning in a system comprising a parameter server configured to maintain a global parameter set of a model to be trained and a plurality of workers. The method comprises transmitting a current global parameter set to a worker. The worker performs a training step based on training data available to the worker, thereby generating a local set of parameters of the model, determines a likelihood of the local set of parameters being suitable for improving the global parameter set and omits transmission of the local set of parameters to the parameter server if it is determined that the local set of parameters is not likely suitable for improving the global parameter set.

Abstract: A device for optimising model performance comprising: a memory resource storing a local model on an electronic device, the local model being obtained by the use of a machine learning process; a first processor configured to: obtain data at the electronic device; apply the local model to the data or further data derived from the data to obtain at least one local model result; generate a measure of the quality of the local model result, and send the data, further data derived from the data and/or the local model result through a communication device to a second processor for use in updating a global model based on the measure of the quality of the local model result.

Abstract: According to an embodiment there is provided a method of skill classification comprising receiving data indicative of an activity performed by a person, classifying the type or types of activity performed by the person based on the received data, wherein said classifying provides an indication of an activity type or activity types as well as an indication of the confidence that an activity has been classified correctly and classifying a skill level associated with a classified activity or classified activities on the basis of the indication of confidence.

Abstract: An integrated power module conditions and distributes electrical power from a high voltage source in a vehicle, wherein the vehicle includes an electrically-driven traction motor. A common primary DC-to-DC converter stage for coupling to the high voltage source produces an intermediate DC voltage on an intermediate voltage bus. The primary DC-to-DC converter stage comprises a plurality of phases including respective secondary circuits selectably coupled to the intermediate voltage bus. A plurality of power conditioners are each coupled to the intermediate voltage bus for transforming the intermediate DC voltage to respective power outputs, wherein the power outputs including a first AC output for driving the traction motor.

Abstract: An integrated power module conditions and distributes electrical power from a high voltage source in a vehicle, wherein the vehicle includes an electrically-driven traction motor. A common primary DC-to-DC converter stage for coupling to the high voltage source produces an intermediate DC voltage on an intermediate voltage bus. The primary DC-to-DC converter stage comprises a plurality of phases including respective secondary circuits selectably coupled to the intermediate voltage bus. A plurality of power conditioners are each coupled to the intermediate voltage bus for transforming the intermediate DC voltage to respective power outputs, wherein the power outputs including a first AC output for driving the traction motor.

Abstract: An anti-stall and bias control for a hydrostatic drive train system is disclosed. The system is used on a hydrostatic drive vehicle with an engine coupled to a first and second hydraulic pump. The first and second hydraulic pumps are coupled to first and second drive motors which drive wheels of the vehicle. The power to the drive motors is controlled by a control unit which output signals proportional to the desired power output from the motors. An engine speed sensor determines the speed of the engine. The control circuit reads the engine speed and determines whether the engine is in a stall condition. If the engine is in a stall condition, the control circuit scales the control signals of the first and second motor to reduce power output. A bias control is also provided to allow the vehicle operator to select greater relative power to either the first or second motor. The bias control outputs a bias signal which is read by the control unit.

Abstract: A method employed in a condition monitoring unit (CMU) for monitoring a circuit breaker or interrupter to obtain a substantially undistorted version of a waveform suffering from saturation distortion comprises employing a current transformer (CT) to measure a current waveform. The output of the CT is prone to be a partially distorted waveform. The invention is generic in the sense that it does not require parameters associated with the CT characteristics or with the burden impedance on the secondary side of the CT. A digital representation of the partially distorted waveform is obtained, and then undistorted portions of the partially distorted waveform are identified by comparing the amplitude of the partially distorted waveform within a sliding window to a pair of boundary values and identifying as undistorted those portions having an amplitude between the boundary values. Next, distorted portions of the waveform are separated from the undistorted portions, thereby yielding a data record with holes.