Abstract: Frameworks and methods for generating early-warning indicators of impending nonlinear instabilities of a dynamical system are provided. In accordance with one aspect, the framework includes a data collector and a system identification (SI) modeler. The data collector is coupled to the dynamical system and collects pre-bifurcation data. The SI modeler predicts early-warning indicators of impending nonlinear instabilities using only the pre-bifurcation data and the SI modeler includes a means for extrapolating Fokker-Planck coefficients in response to the pre-bifurcation data to generate precursors to a Hopf bifurcation and/or to identify a type of the Hopf bifurcation and/or to forecast the limit-cycle oscillation (LCO) amplitudes of a post-bifurcation regime. In addition, the SI modeler predicts the locations of the Hopf bifurcation points, the type of the Hopf bifurcation and the LCO amplitudes of the post-bifurcation regime.

Abstract: Methods, systems, and devices for dataset simplification of N-dimensional signals captured for asset tracking are provided. An example method involves obtaining raw data from a data source onboard an asset and determining whether obtainment of the raw data results in satisfaction of a data logging trigger. The method further involves, when the data logging trigger is satisfied, performing a dataset simplification algorithm on a target set of data within the raw data to generate a simplified set of data, wherein the target set of data contains a time-variant N-dimensional signal, N>=1, and the dataset simplification algorithm is generalized for all N>=1. The method further involves transmitting the simplified set of data to a server.

Abstract: A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

Abstract: A voltage-programmed display system allows measurement of effects on pixels in a panel that includes both active pixels and reference pixels coupled to a supply line and a programming line. The reference pixels are controlled so that they are not subject to substantial changes due to aging and operating conditions over time. A readout circuit is coupled to the active pixels and the reference pixels for reading at least one of current, voltage or charge from the pixels when they are supplied with known input signals. The readout circuit is subject to changes due to aging and operating conditions over time, but the readout values from the reference pixels are used to adjust the readout values from the active pixels to compensate for the unwanted effects.

Abstract: Provided is a cross-departmental decision support system for early diagnosis of a chronic kidney disease based on knowledge graph, which comprises a patient information model building module, a patient information model library storage module, a knowledge graph association module, a knowledge graph inference module and a decision support feedback module. According to the present application, by constructing a patient information model and utilizing an OMOP CDM standard terminology system, patient electronic medical record data is constructed into a patient information model with unified concept coding and unified semantic structure; making full use the advantages of semantic technology in data interactivity and scalability, so that the system has better adaptability and scalability to heterogeneous data in different hospitals.

Abstract: Medical devices, systems and methods are provided.

Abstract: A temperature estimation system includes an internal temperature data obtainer that obtains internal temperature data of a smartphone carried by a user; an operation data obtainer that obtains operation data on an operation state of the smartphone; and a temperature estimator that calculates an estimated value of an external temperature in a vicinity of the smartphone from the internal temperature data and the operation data of the smartphone, based on correlation among internal temperature data of a mobile terminal device for measurement, operation data on an operation state of the mobile terminal device for measurement, and actual temperature data that represents an actual environmental temperature in a vicinity of the mobile terminal device for measurement.

Abstract: A system can receive fault likelihood data about a subterranean environment and apply a binary mask filter using a tuning parameter to convert the fault likelihood data to binary distribution data having a plurality of pixels arranged in a plurality of profiles in at least two directions. The system can perform, for each profile of the plurality of profiles, fault skeletonization on the binary distribution data to form fault skeletonization data with pixels connected that represent part of a fracture. The system can convert the fault skeletonization data to seismic volume data and combine and filter the seismic volume data in the at least two directions to form combined seismic volume data. The system can output the combined seismic volume data as an image for use in detecting objects to plan a wellbore operation.

Abstract: A method and a system for tuning a pad. The method may comprise disposing a downhole tool into a borehole, configuring the pad in a first configuration, taking a first measurement of the formation in the first configuration, configuring the pad in a second configuration, taking a second measurement of the formation in the second configuration, determining a tuning coefficient to reduce a tool body effect in the first measurement and the second measurement, computing a first weighted measurement from the tuning coefficient and the first measurement, computing a second weighted measurement from the tuning coefficient and the second measurement, and computing a tuned impedance from a ratio of the first weighted measurement and the second weighted measurement. A system for determining a formation boundary may comprise a downhole tool, an arm, and a pad. The system may further comprise a conveyance and an information handling system.

Abstract: Disclosed is a multiagent system with agents in communication with each other via a communication network. The agents have heterogeneous time-invariant dynamics such that all of the agents have a primary set of synchronization roles that are different from a secondary set of synchronization roles of a subset of the agents.

Abstract: A motor control device includes an acceleration detecting section configured to detect an acceleration of a control object, and an acceleration control section configured to control an acceleration of a motor driving the control object based on the detected acceleration, in which the acceleration control section includes a vibration component extraction filter configured to extract a vibration component generated between the motor and the control object, and the vibration component extraction filter changes a filter characteristic frequency according to at least one of a position and a mass of the control object.

Abstract: This invention relates generally to ionogram image processing, autoscaling and inversion systems and methods for ionospheric monitoring, modeling, and estimation of the same. One advantage of the present invention is to provide a system, e.g., a lightweight, low-power, and fully-autonomous ionospheric monitoring system that is able to provide fully processed and highly accurate ionosphere characterization in near real-time over a low data-rate satellite link.

Abstract: Apparatus and methods are described for monitoring a subject. A sensor monitors the subject and generates a sensor signal in response thereto and a plurality of filters are used to filter the sensor signal using respective filter parameters. A computer processor receives the sensor signal, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Subsequently, the computer processor detects that the subject has undergone motion, by analyzing the sensor signal, and in response thereto, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Other applications are also described.

Abstract: The disclosure relates to a test and measurement instrument. The test and measurement instrument comprises a digitizer for digitizing an analog input signal, thereby generating a digitized input signal. The test and measurement instrument also has a digital trigger for detecting a trigger event in the digitized input signal. The test and measurement instrument also comprises an acquisition memory for acquiring the digitized input signal at least segmentally upon a first trigger event detected by the digital trigger. The acquisition memory is configured to acquire a first signal segment prior to the first trigger event. The acquisition memory is further configured to acquire a second signal segment starting at the first trigger event. The length of the second signal segment is dynamically adjustable. Moreover, a method of analyzing an input signal by a test and measurement instrument is described.

Abstract: The invention discloses a system for identifying an adverse event likely to occur in respect of a subject to receive or having received immunotherapy treatment. The system comprises a memory comprising instruction data representing a set of instructions; and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to obtain a subject profile associated with the subject; obtain drug administration data associated with the subject; obtain medical data associated with the subject; determine, based on the subject profile and the drug administration data, a first set (114) of adverse events likely to occur in respect of the subject; and determine, based on the subject profile and the medical data, a second set (116) of adverse events likely to occur in respect of the subject. A subject monitoring apparatus, a method and a computer program product are also disclosed.

Abstract: A method for determining a location and trajectory for a new wellbore relative to an adjacent wellbore includes: receiving controllable variable data and uncontrollable variable data related to fracturing a formation by a stimulation operation in a first wellbore penetrating the formation; receiving pressure communication event or pressure non-communication event identification data related to identification of a pressure communication event or pressure non-communication event in a second wellbore penetrating the formation in response to the fracturing; extracting features from the controllable and uncontrollable variable data to provide extracted features; detecting a pressure communication event using the extracted features and the pressure communication event or pressure non-communication event identification data using an analytic technique; identifying one or more quantified causes of the detected pressure communication event using an artificial intelligence technique; and determining the location and tr

Abstract: A state estimation apparatus is configured to extract a time interval to be analyzed from a time series of a first signal based on a second signal acquired in conjunction with the first signal relating to the operation of the facility, and estimate a change in a state of the facility based on waveform data of the time interval of the first signal.

Abstract: An apparatus and method for determining injury risk from plurality of exercises using a device with a heart rate sensor, a processor, memory including a resident memory, an output device and software. For example the method may: determine and store values of Training load of each exercise in the resident memory obtaining a register, perform a HRV-based Recovery Test and storing Recovery values in the register, calculate indices depicting Short Term Training Load, ratio of Short Term Training Load to Long Term Training Load, and Recovery, calculate weighting factors for each said index, correct each index with corresponding weighting factor to obtain weighted indices, calculate a value of the Injury Risk using the weighted indices, and display the value of Injury Risk.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to calibrate sensor measurements based on detection of brake light. Acceleration information of a first vehicle may be obtained. The acceleration information may define an acceleration probability distribution of the first vehicle. Image information may be obtained. The image information may define an image of the first vehicle. Whether a brake light of the first vehicle is on or off may be determined based on the image of the first vehicle. Based on a determination that the brake light of the first vehicle is on, a calibrated acceleration probability distribution of the first vehicle may be generated based on the acceleration probability distribution of the first vehicle and a braking-calibration curve.

Abstract: A system for seismic imaging of a subterranean geological formation, the system includes a receiver configured to obtain seismic data comprising a data volume representing a post-stacked image. The system includes a filtering module configured to: apply frequency-wavenumber (F-K) filter to the data volume extract a negative-dip structure image and apply the frequency-wavenumber (F-K) filter to the data volume extract a positive-dip structure image. The system includes a diffraction rendering module configured to: multiply the positive-dip structure image with the negative-dip structure image and generate a diffraction-enhanced seismic image representing a geological formation of the data volume.