Abstract: Provided is a switching module and a process of commutating the switching module. The switching module includes an H-bridge circuit with bidirectional switches and an active clamp with switches that are also arranged as an H-bridge. The process of commutating the switching module includes a sequence of alternating first and second commutation events where timing signals used to control the switches during each commutation event are varied according to closed loop control of the voltage across the energy storage device of the active clamp.

Abstract: The described technology provides a service risk discovery system for recommending, for a cloud based service sharing the service group hierarchy, a predetermined number of top risk observations based on the ranking of the one or more of the risk observations. The system generates the ranking by joining a plurality of risk objects of one or more of the group of cloud based services based on a service identification field of the plurality of risk objects to generate a service group risk vector, the service group risk vector including a plurality of risk observations for the group of cloud based services.

Abstract: Systems and methods for monitoring network activity. The methods include receiving at an interface a first logging parameter for a first network device, wherein the first logging parameter specifies how the first network device is to record data associated with the first network device; communicating the first logging parameter to the first network device; and indicating to the first network device a first network-accessible location to where the first network device is to transmit its recorded data, wherein the first network device is configured to record data in accord with the first logging parameter and transmit the recorded data to the first network-accessible location.

Abstract: A battery power system for powering at least one electric motor. The system comprises a main battery and an intermediate storage device electrically coupled to the main battery such that the intermediate storage device can be charged by the main battery, and the intermediate storage device being configured to supply power to the electric motor. The intermediate storage device is constructed and configured to accept and deliver charge at a higher rate than the main battery whilst having a lower energy storage capacity than the main battery.

Abstract: A switched reluctance electrical motor comprises a rotor having a substantially circular cylindrical envelope with a diameter in a range of 50 mm to 300 mm and a length in the range of 20 mm to 250 mm. The rotor comprises a plurality of radially extending rotor teeth. A switched reluctance electrical motor further comprises a stator surrounding the rotor and comprising a plurality of stator poles. The rotor teeth are circumferentially-spaced apart from each other to define slots between adjacent teeth that, expressed in normalised angular and radial coordinates, have a cross-sectional profile transverse to an axis of rotation of the rotor, lying within a well-defined polygonal region.

Abstract: The invention is a system and method to identify and augment Jobs To Be Done (JTBD) comprising an input module (100) configured to receive an input data in a desired format, said input module further configured to prepare the input data for further processing; a feature extraction module (101) configured to automatically perform an extraction operation on the input data processed in step a) to extract a plurality of entities related to the approach of JTBD; a feature processing module (102) configured to identify patterns and relationships in the input data and grouping them for actionability; an opportunity prioritization/prediction module (103) configured to assign a salience value to each of the plurality of entities; and a JTBD formulation module (105) configured to process the extracted entities, the groupings and the patterns relationships among the entities, identify data with multiple entities, and compile them into a list of JTBD.

Abstract: A battery power system for powering at least one electric motor. The system comprises a main battery and an intermediate storage device electrically coupled to the main battery such that the intermediate storage device can be charged by the main battery, and the intermediate storage device being configured to supply power to the electric motor. The intermediate storage device is constructed and configured to accept and deliver charge at a higher rate than the main battery whilst having a lower energy storage capacity than the main battery.

Abstract: Provided is a switching module and a process of commutating the switching module. The switching module includes an H-bridge circuit with bidirectional switches and an active clamp with switches that are also arranged as an H-bridge. The process of commutating the switching module includes a sequence of alternating first and second commutation events where timing signals used to control the switches during each commutation event are varied according to closed loop control of the voltage across the energy storage device of the active clamp.

Abstract: A battery power system for powering at least one electric motor. The system comprises a main battery and an intermediate storage device electrically coupled to the main battery such that the intermediate storage device can be charged by the main battery, and the intermediate storage device being configured to supply power to the electric motor. The intermediate storage device is constructed and configured to accept and deliver charge at a higher rate than the main battery whilst having a lower energy storage capacity than the main battery.

Abstract: The described technology provides a service risk discovery system for recommending, for a cloud based service sharing the service group hierarchy, a predetermined number of top risk observations based on the ranking of the one or more of the risk observations. The system generates the ranking by joining a plurality of risk objects of one or more of the group of cloud based services based on a service identification field of the plurality of risk objects to generate a service group risk vector, the service group risk vector including a plurality of risk observations for the group of cloud based services.

Abstract: Systems and methods for monitoring network activity. The methods include receiving at an interface a first logging parameter for a first network device, wherein the first logging parameter specifies how the first network device is to record data associated with the first network device; communicating the first logging parameter to the first network device; and indicating to the first network device a first network-accessible location to where the first network device is to transmit its recorded data, wherein the first network device is configured to record data in accord with the first logging parameter and transmit the recorded data to the first network-accessible location.

Abstract: A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

Abstract: A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

Abstract: A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

Abstract: Described herein are systems and methods for classifying clinical episodes in order to more accurately generate alerts for those episodes that warrant them. In some embodiments, alerts are only generated for those episodes that are new or different from previous episodes, where the previous episodes have been found to be not significant enough to warrant an alert.

Abstract: A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal, or use of model reduction schemes such as independent component analysis. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. Cardiac features that are determined from the cardiac signal can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

Abstract: A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal using one or more filters. Model reduction schemes such as independent component analysis can additionally or alternatively be employed to extract the cardiac signal. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly. The determined cardiac features can additionally be used to adjust parameters of the stimulation that is provided by the neurostimulator.

Abstract: A system and method for extracting a cardiac signal from a spinal signal include measuring a spinal signal at one or more electrodes that are connected to a neurostimulator and implanted within a patient's spinal canal and processing the spinal signal to extract the cardiac signal, which includes features that are representative of the patient's cardiac activity. Processing the spinal signal to extract the cardiac signal can include filtering the spinal signal using a first low-pass filter and a second moving average filter. Model reduction schemes such as independent component analysis can additionally or alternatively be employed to extract the cardiac signal. The extracted cardiac signal can include a number of features that correspond to an electrocardiogram and can be used to determine the patient's heart rate and/or to detect a cardiac anomaly.

Abstract: Described herein are systems and methods for classifying clinical episodes in order to more accurately generate alerts for those episodes that warrant them. In some embodiments, alerts are only generated for those episodes that are new or different from previous episodes, where the previous episodes have been found to be not significant enough to warrant an alert.

Abstract: A modular stacked DC architecture for traction system includes a propulsion system includes an electric drive, a direct current (DC) link electrically coupled to the electric drive, and a first DC-DC converter coupled to the DC link. A first energy storage device (ESD) is electrically coupled to the first DC-DC converter, and a second DC-DC converter is coupled to the DC link and to the first DC-DC converter. The system also includes a second energy storage device electrically coupled to the second DC-DC converter and a controller coupled to the first and second DC-DC converters and configured to control a transfer of energy between the first ESD and the DC link via the first and second DC-DC converters.