Abstract: A power meter for measuring power usage in a circuit includes preprocessor and a weighting network. The pre-processor is configured to receive toggle data for a number of power proxy signals in the circuit for a plurality of clock cycles of the circuit in a first time window. The power proxy signals and weighting values are determined automatically from simulated or emulated toggle data. For each power proxy signal, the pre-processor averages the toggle data over one or more clock cycles in one or more second time windows, within the first time window, to provide averaged toggle data, and outputs the averaged toggle data for each second time window. The weighting network is configured to combine the averaged toggle data from the power proxy signals, based on a set of weight values, to provide a measure of the power usage.

Abstract: A method and a system for noise discrimination, the method comprising measuring noise levels of a noise source, measuring noise levels at a target location positioned at a distance from the noise source, measuring wind speed and direction in an area comprising the noise source and the target location, filtering transient short-duration events from the noise levels measured at the noise source, yielding filtered noise levels of the noise source, filtering transient short-duration events from the noise levels measured at the target location, yielding filtered noise levels of the target location, measuring a sound transfer function between the noise source and the target location using the filtered noise levels, comparing the measured sound transfer function with a reference transfer function; and when the difference between the measured transfer function and the reference transfer function is above a predetermined threshold, determining a probability that noise at the location originates from the noise source.

Abstract: The disclosure describes techniques for detecting a crack or defect in a material.

Abstract: A signal processing device is described, with a signal input for receiving an input signal, a first trigger unit generating a trigger signal based upon a first trigger event in the input signal and an acquisition memory for acquiring the input signal at least based upon the trigger signal so as to provide an acquired signal. The signal processing device also comprises a second trigger unit connected to the acquisition memory. The second trigger unit is adapted to process the acquired signal according to a second trigger. The second trigger unit is adapted as a zone trigger unit applying a zone trigger. Further, a method of applying a zone trigger is described.

Abstract: An electrical emulator system includes an emulator assembly comprising an emulator circuit board for emulating a component forming part of a modeled electrical system. The emulator circuit board includes an inverter mounted to the emulator circuit board, a set of input terminals electrically connected to the inverter, a set of output terminals electrically connected to the inverter and a processor electrically connected to the inverter and configured to control the inverter so as to provide emulation of a component of the modeled electrical system. A docking station includes a set of docking terminals for emulated line power. The docking station comprises guides to receive the emulator circuit board and align the set of input terminals and the set of output terminals to selected docking terminals of the set of docking terminals.

Abstract: Online estimation of area-level inertia can be used for frequency stability control in low-inertia power systems. This disclosure provides an area-level inertia online estimation method considering inter-area equivalent frequency dynamics. The disclosed method only needs one phasor measurement unit placed at any bus within each area. The inter-area equivalent frequency dynamics model for the multi-area power system is developed, which is employed to estimate area-level inertia under the small disturbance situation. Then, the area-level inertia estimation model boils down to a nonlinear parameter identification problem. The other boundary conditions of the disclosed method are derived by parameter identifiability.

Abstract: A device for determining an error probability value for a transformer component, including a signal input interface, a processor unit, and a storage unit, wherein the signal input interface is configured for direct or indirect coupling to a measurement system for a power transformer, the measurement system having multiple sensors that are each designed to record a physical and/or chemical property of the power transformer, the power transformer having multiple transformer components, and each sensor being coupled to at least one of the transformer components of the power transformer by way of a respective related direct or indirect connection, wherein the physical and/or chemical property of the power transformer recorded by the respective sensor is influenced by at least one of the transformer components, wherein the signal input interface is configured to receive a status signal of the measurement system, the status signal representing multiple, different status variables.

Abstract: A system and method for automatically trimming and reclassifying workout data is disclosed. The system receives data associated with a workout of a user from at least one sensor associated with the user, the workout being classified as a first type of workout. The system processes the data to identify at least one time interval during the workout that does not correspond to the first workout type. The system prompts the user to select whether to remove or reclassify a subset of the data that is associated with the identified time interval. If the user chooses to do so, the system removes or reclassifies the subset of the data that is associated with the identified time interval. The system generates and provides workout depictions using the data, at least one of which illustrates only the remaining data that was not removed or reclassified.

Abstract: A server includes a communicator and a controller configured to acquire battery status information of each of a plurality of batteries through the communicator, acquire target device information from a user terminal through the communicator, determine a battery from the plurality of batteries having a lifespan corresponding to a required output of a target device among the plurality of batteries as a recommended battery based on the battery status information and the target device information, and control the communicator to transmit information on the recommended battery to the user terminal.

Abstract: A method for repairing a composite structure is provided. A rework zone is defined on the composite structure. A theoretical scarfing bottom surface is identified for the rework zone from a model of the composite structure. An actual scarfing bottom surface in a local axis system is identified for the rework zone. Parameters for a rework program for an automated scarfing tool are modified based on deviations between the theoretical scarfing bottom surface and the actual scarfing bottom surface. Plies in the rework zone are removed using the automated scarfing tool.

Abstract: In certain example embodiments, moisture sensors, defoggers, etc., and/or related methods, are provided, More particularly, certain example embodiments relate to moisture sensors and/or defoggers that may be used in various applications such as, for example, refrigerator/freezer merchandisers, vehicle windows, building windows, etc. When condensation or moisture is detected, an appropriate action may be taken (e.g., actuating windshield wipers, turning on a defroster, triggering the heating of a merchandiser door or window, etc.). Bayesian approaches optionally, may be implemented in certain example embodiments in an attempt to improve moisture detection accuracy. For instance, models of various types of disturbances may be developed and, based on live data and a priori information known about the model, a probability of the model being accurate is calculated. If a threshold value is met, the model may be considered a match and, optionally, a corresponding appropriate action may be taken.

Abstract: A method is described for seismic depth uncertainty analysis including receiving wavelet basis functions and cutoff thresholds and randomly perturbing wavelet coefficients in reduced wavelet space based on the wavelet basis functions and the cutoff thresholds to generate a plurality of random wavelet fields; receiving a reference model in a depth domain; transforming the plurality of random wavelet fields to the depth domain and combining them with the reference model to form candidate models; performing a hierarchical Bayesian modeling with Markov Chain Monte Carlo (MCMC) sampling methods using the candidate models as input to generate a plurality of realizations; and computing statistics of the plurality of realizations to estimate depth uncertainty. The method may be executed by a computer system.

Abstract: A verification method of an allelopathic inhibition mechanism based on ecological stoichiometric equilibrium interference is disclosed. By taking ecological stoichiometric characteristics and growth characteristics of Phalaris arundinacea under an equilibrium state as a control, a relative coefficient of variation (RCv) is used to characterize an interference intensity of different intensities of allelopathic stress on ecological stoichiometric equilibrium of the P. arundinacea and an inhibitory intensity of different intensities of allelopathic stress on growth of the P. arundinacea. Then, through correlation analysis among parameters including the intensity of the allelopathic stress, the ecological stoichiometric equilibrium interference, and growth inhibition, a method is provided to verify whether a new mechanism of allelopathic inhibition based on the ecological stoichiometric equilibrium interference exists.

Abstract: The method and apparatus of the present invention will provide a means for a tank owner to determine the time until the next out-of-service API 653 internal inspection of an aboveground storage tank (AST) or an underground storage tank (UST) should be considered or performed based on in-service measurements of the tank filled with fuel or another liquid. The inspection interval is determined from a leak detection test with a pass and a probability distribution of the survival rate of the tank bottom that is representative of the tank being inspected. More accurate estimates are obtained by using measurements of the thickness and corrosion rate of the tank bottom at one or a few locations in the tank and the results of an acoustic emission (AE) corrosion activity test and/or previous out-of-service inspection measurements of the tank floor bottom thickness of the floor at many locations. The method is based on the concept of equivalent risk.

Abstract: Systems and methods relating to determination of oil saturation, kerogen content, and/or water saturation within kerogen-containing subsurface formations such as unconventional formations (e.g., tight formations such as shales) are provided herein. These methods advantageously rely on a simplified measurement process, reducing the direct measurements of a subsurface formation relied upon in determining oil saturation, kerogen content, and/or water saturation. In particular, methods according to some embodiments include determining or otherwise obtaining values of TOC; bulk density; porosity; and densities of kerogen, oil, and water corresponding to a subsurface formation of interest or a zone thereof. Methods of various embodiments further include, based at least in part upon the obtained values, determining one or more of kerogen content, oil saturation So, and water saturation Sw of the subsurface formation of interest, and/or a corresponding zone thereof.

Abstract: Various embodiments relate to a method and system for stopping a target detection greedy algorithm used in a radar system having a sparse array, including: running an iteration of the target detection greedy algorithm on signals received by the sparse array; adding a complex DC component to a residue produced by the target detection greedy algorithm; estimating the variance of the noise in the received signal; testing a first null hypothesis using the estimate of the variance of noise in the received signal and the average of the square magnitude of the complex data of the received signal; and stopping the target detection greedy algorithm when the first null hypothesis test passes.

Abstract: The present disclosure provides a method and system for managing public water in a smart city. The method may be performed by an urban public water management platform. The method may include: obtaining initial rainwater data in at least one area, the initial rainwater data may include rainfall data and rainwater collection data of at least one rainwater collection system, each of the at least one rainwater collection systems corresponding to at least one rainwater collection mode; determining the amount of purified rainwater during a first period corresponding to the at least one rainwater collection mode according to the initial rainwater data in the at least one area; and determining a rainwater storage plan during a second period based on the amount of purified rainwater during the first period corresponding to the at least one rainwater collection mode.

Abstract: A method for identifying a cell quality during cell formation includes: conducting a beginning of life cycling following an initial cell formation charge of multiple cells; collecting and preprocessing a discharge data set generated by one of the multiple cells during the beginning of life cycling; calculating a statistical variance from the discharge data set identifying an estimated probability of meeting a target cell usage time; and projecting a life span of the multiple cells.

Abstract: A system can generate and output boundary lines for controlling a drilling operation. The system can receive data, including an offset well surveys, measuring instrument information, and a well casing diameter, about offset wells in a subterranean formation. The system can determine reference well values. The system can generate boundary lines for the offset wells based on the received data and the calculated reference well values. The system can adjust the boundary lines, and can output the adjusted boundary lines for controlling a drilling operation.

Abstract: A positioning calibration controller for measuring and calibrating the configuration dimensions of a construction working machine having an machine body including a first surveying device for surveying the position coordinates and a movable working tool including one or more angle detecting devices, wherein the positioning calibration method and the positioning calibration controller of the construction working machine having the feature of specifying the configuration dimensions and the configuration positions of the movable business tool by the position measurement data and the angle data detected by the angle detecting device by measuring the position coordinates of the plurality of posture positions of the movable business tool by a second surveying device.