Abstract: There is provided a method and a system to adaptively control a vehicle inverter system that is operable to power a vehicle powertrain, wherein the vehicle powertrain comprises a plurality of operating modes. The method and system comprises adaptively controlling the AC power output of the vehicle inverter system to vary the AC power output of the vehicle inverter system for the vehicle powertrain according to each operating mode of the vehicle powertrain. The method and system further comprises identifying the operating mode of the vehicle powertrain in real-time and adaptively controlling the AC power output of the vehicle inverter system according to the identified real-time operating mode of the vehicle powertrain.

Abstract: A message ID decoding method is provided for a system comprising multiple components interlinked by a Controller Area Network bus (CAN-bus) through which messages are sent. The method includes acquiring a CAN-bus message data stream including multiple CAN-bus messages, each including a CAN ID indicating a component from which the corresponding CAN-bus message originated; storing the CAN-bus messages in a first datastore; acquiring an electricity consumption signal indicative of the consumption of the component; storing the electricity consumption signal in a second datastore; generating multiple time-stamp bins each corresponding to an interval in time; selecting the CAN ID and a portion of the electricity consumption signal being from the interval in time corresponding to the time-stamp bin; and determining a regression coefficient, R, indicating a level of relatedness between the selected CAN ID and portion, thereby correlating the CAN ID of the selected CAN-bus message with the component.

Abstract: The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. Devices can be designed to address the need for network layers, from central servers, through gateways, down to edge devices, to grow unhindered, to discover and make accessible connected resources, and to support the ability to hide and compartmentalize connected resources. Network protocols can be part of the fabric supporting human accessible services that operate regardless of location, time, or space. Innovations can include service delivery and associated infrastructure, such as hardware and software. Services may be provided in accordance with specified Quality of Service (QoS) terms. The use of IoT devices and networks can be included in a heterogeneous network of connectivity including wired and wireless technologies.

Abstract: A method characterizes a noise event, and includes locating microphones in an environment and generating a training event at a location in the environment as a reference for a noise event. A sound sample is recorded at each microphone and phase differences between the sound samples are used to establish a noise event signature for an event at that location. A noise event may subsequently be identified by taking sound samples from the microphones associated with the noise event and using phase differences between them to identify the noise event by matching against noise event signatures.

Abstract: A method for compressing a signal, the method comprising: acquiring, via a signal recording module, a primary signal; modelling, via a processor, a model signal of the primary signal by: acquiring, via the processor, a sampled signal; acquiring, via the processor, a windowed signal; and extracting, via the processor: a fundamental frequency waveform having a fundamental magnitude and a fundamental phase; and at least one harmonic frequency waveform having a harmonic magnitude and a harmonic phase; wherein the model signal comprises the fundamental frequency waveform and the at least one harmonic frequency waveform; calculating, via the processor, an error signal between a reconstructed signal and the primary signal; determining, via the processor, an optimal gain from at least; an averaging step providing an average value, a predefined threshold, and a scaled signal.

Abstract: A disaggregation and identification method arranged to disaggregate and identify aggregated electrical load data. The method comprises obtaining operation data from an automated control management system; extracting a timing sequence from the operation data for each load in the automated system; storing each timing sequence in a datastore; streaming aggregated power data from a load center associated with the system, wherein the power data comprises measured electrical signals; and recording time stamps for each new event measured from the streamed aggregated power data, wherein an event is a change in power signal at a load. The method further comprises performing nearest neighbour comparison of the recorded power time series data to the timing sequence of the operation data; mapping each event timestamp to the nearest time sequence; classifying the load according to the mapped time data; and storing the classified load profile in a datastore.

Abstract: A method of detecting states of an electrical load from an electrical signal. This involves first providing a mathematical model for the electrical signal. A sliding window can then be used to es-timate parameters of the model. In doing this, a plurality of windows are determined for the electrical signal, a window function is applied for each of the windows, and parameters of the model are determined by interpola-tion. The waveform can then be reconstructed from the determined para-meters and subtracted from the reconstructed waveform from the original signal to obtain a residual. State transitions can then be determined where a difference between the reconstructed waveform and the original signal exceeds a threshold. States are detected and determined as existing for the time period between successive state transitions. Methods of monitoring an electrical system using this approach are also described, as are electrical devices adapted to perform such methods.

Abstract: Digital holographic microscopy and related image processing techniques are described. A hologram captured in an image frame is split into different depths while a new hologram is being captured. Image slices of the hologram are determined and using free space impulse responses that are pre-calculated at a different precision than processing operations using the holographic data. Each computation is calculated in parallel based on the number of available processing cores and threads. The image slices are combined into a 2D array or 3D array to permit further processing of the combined array to count and size particles in the image frame. The reconstructed hologram is displayed at a subsequent image frame than that used to capture the hologram.

Abstract: There is provided a data transmission and compression method arranged to compress and transmit data between an edge device and a remote server. The method comprises collecting data at the edge device, wherein the data is attributed to a plurality of signal signatures; generating a data matrix at the edge device; transforming the data matrix, wherein transforming the data comprises using a wavelet transform; compressing the data, wherein compressing the data comprises utilising an autoencoder; and transmitting the encoded compressed data to the remote server via a communication channel. The method further comprises, at the remote server, decompressing the data utilising an autoencoder; reconstructing the signal signatures using an inverse wavelet transform; and storing the reconstructed data signatures in a datastore on the remote server.

Abstract: A method for compressing a signal, the method comprising: acquiring, via a signal recording module, a primary signal; modelling, via a processor, a model signal of the primary signal by: acquiring, via the processor, a sampled signal; acquiring, via the processor, a windowed signal; and extracting, via the processor: a fundamental frequency waveform having a fundamental magnitude and a fundamental phase; and at least one harmonic frequency waveform having a harmonic magnitude and a harmonic phase; wherein the model signal comprises the fundamental frequency waveform and the at least one harmonic frequency waveform; calculating, via the processor, an error signal between a reconstructed signal and the primary signal; determining, via the processor, an optimal gain from at least; an averaging step providing an average value, a predefined threshold, and a scaled signal.

Abstract: Methods, apparatus, and articles of manufacture for decentralized data storage and processing for IoT devices are disclosed. An example apparatus includes memory; and a processor to cause storage of a contract in an off-chain datastore; generate a hash value of the contract; cause storage of the hash value on a blockchain to be accessible to multiple nodes in an IoT network; and cause storage of a transaction on the blockchain, the transaction corresponding to an objective of the contract based on data sensed by an IoT device in the IoT network.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to manage process excursions. An example apparatus includes a digital twin comparer to determine when a product fails to satisfy a tolerance metric of a digital twin, and a fingerprint manager to generate a fingerprint corresponding to a sensor pattern. The example apparatus also includes a node interfacer to determine a number of workstations of a process control system that exhibit the fingerprint, and an excursion statistics calculator to invoke a corrective action for respective ones of the number of workstations, the corrective action based on a threshold count of the number of workstations that exhibit the fingerprint.

Abstract: A message ID decoding method is provided for a system comprising multiple components interlinked by a Controller Area Network bus (CAN-bus) through which messages are sent. The method includes acquiring a CAN-bus message data stream including multiple CAN-bus messages, each including a CAN ID indicating a component from which the corresponding CAN-bus message originated; storing the CAN-bus messages in a first datastore; acquiring an electricity consumption signal indicative of the consumption of the component; storing the electricity consumption signal in a second datastore; generating multiple time-stamp bins each corresponding to an interval in time; selecting the CAN ID and a portion of the electricity consumption signal being from the interval in time corresponding to the time-stamp bin; and determining a regression coefficient, R, indicating a level of relatedness between the selected CAN ID and portion, thereby correlating the CAN ID of the selected CAN-bus message with the component.

Abstract: A method of estimating power usage in an electricity distribution apparatus for a plurality of electrical loads, the electricity distribution apparatus comprising an electrical circuit including a plurality of branch circuits arranged in parallel, each branch circuit being coupled to one or more of the plurality of electrical loads, the electrical distribution apparatus being configured to distribute electrical power, received via a supply line from a supply of electrical power, across the electrical circuit, the method comprising: measuring voltage across at least one of the plurality of branch circuits; measuring current in a monitored branch circuit of the plurality of branch circuits; and detecting a first type of load change event if there is a change in the measured current and a corresponding change in the measured voltage, wherein the change in the measured current and the corresponding change in the measured voltage correspond to a change of load.

Abstract: The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. Devices can be designed to address the need for network layers, from central servers, through gateways, down to edge devices, to grow unhindered, to discover and make accessible connected resources, and to support the ability to hide and compartmentalize connected resources. Network protocols can be part of the fabric supporting human accessible services that operate regardless of location, time, or space. Innovations can include service delivery and associated infrastructure, such as hardware and software. Services may be provided in accordance with specified Quality of Service (QoS) terms. The use of IoT devices and networks can be included in a heterogeneous network of connectivity including wired and wireless technologies.

Abstract: Methods of detecting and characterising a noise event are described, together with apparatus adapted to perform such methods. A method of characterising a noise event, involves locating microphones in an environment and generating a training event at a location in the environment as a reference for a noise event. A sound sample is recorded at each microphone and phase differences between the sound samples are used to establish a noise event signature for an event at that location. A noise event may subsequently be identified by taking sound samples from the microphones associated with the noise event and using phase differences between them to identify the noise event by matching against noise event signatures. A computing system adapted to perform such methods is also described.

Abstract: Methods, apparatus, systems and articles of manufacture to improve accuracy of a fog/edge-based classifier system are disclosed.

Abstract: Methods, apparatus, and articles of manufacture for decentralized data storage and processing for IoT devices are disclosed. An example apparatus includes memory; and a processor to cause storage of a contract in an off-chain datastore; generate a hash value of the contract; cause storage of the hash value on a blockchain to be accessible to multiple nodes in an IoT network; and cause storage of a transaction on the blockchain, the transaction corresponding to an objective of the contract based on data sensed by an IoT device in the IoT network.

Abstract: The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. Devices can be designed to address the need for network layers, from central servers, through gateways, down to edge devices, to grow unhindered, to discover and make accessible connected resources, and to support the ability to hide and compartmentalize connected resources. Network protocols can be part of the fabric supporting human accessible services that operate regardless of location, time, or space. Innovations can include service delivery and associated infrastructure, such as hardware and software. Services may be provided in accordance with specified Quality of Service (QoS) terms. The use of IoT devices and networks can be included in a heterogeneous network of connectivity including wired and wireless technologies.

Abstract: Methods, apparatus, and articles of manufacture for decentralized data storage and processing for IoT devices are disclosed. An example apparatus includes memory; and a processor to cause storage of a contract in an off-chain datastore; generate a hash value of the contract; cause storage of the hash value on a blockchain to be accessible to multiple nodes in an IoT network; and cause storage of a transaction on the blockchain, the transaction corresponding to an objective of the contract based on data sensed by an IoT device in the IoT network.