Abstract: The present invention relates to miniature biosensor technology which can be directly embedded into medical device technology to create a new category of multifunctional smart medical devices. The resulting data from these smart medical devices results in wireless communication networks and standardized referenceable databases, which are used in the creation of best practice guidelines, clinical decision support tools, personalized medicine applications, and comparative technology assessment.

Abstract: A sensor of a multiphase flow meter is operated to determine a physical property attributable to multiphase fluid flow in a conduit of the multiphase flow meter. A stationarity of the multiphase fluid flow is determined based on the determined physical property in actual conditions compared to expected noise of the sensor in stationary flow conditions. A flow model variable is selected from a plurality of flow model variables based on a gas content of the multiphase fluid flow and the determined stationarity. The multiphase fluid flow is then modeled by adjusting the selected flow model variable.

Abstract: System for quantifying a composition of a target sample based on a scan output of a first type of sensor includes a reference database, a custom database and a set of modules. The set of modules includes an analytical model creation module that creates an analytical model of the first type of sensor, a sample processing module that processes samples that include accurately known compositions using the first type of sensor under a standard pressure condition, a molecular fraction estimation module that estimates molecular fraction of the samples using an estimation method and the analytical model, an analytical model optimization module that optimizes the analytical model by comparing the molecular fraction of the samples with a pre-determined molecular fraction of the samples, and a target composition estimation module that estimates a composition of the target sample based on the scan output using the estimation method with the optimized analytical model.

Abstract: Changes to interpreted horizons in a subsurface representation are propagated to synthetic horizons in the subsurface representation by maintaining relative distances between the synthetic horizons and interpreted horizons. Distance ratios of synthetic horizons between interpreted horizons are applied to changed interpreted horizons to derive new locations of synthetic horizons.

Abstract: A battery information processing system includes a storage device configured to store an equivalent circuit model which expresses an AC impedance of a battery module with a plurality of circuit constants. The plurality of circuit constants include first to eighth circuit constants. The first circuit constant is a junction inductance. The second circuit constant is a junction resistance. The third circuit constant is a solution resistance and the fourth circuit constant is a charge transfer resistance. The fifth circuit constant is a CPE index of a diffusion resistance. The sixth circuit constant is a CPE constant of the diffusion resistance. The seventh circuit constant is a CPE index of an electric double layer capacitance. The eighth circuit constant is a CPE constant of the electric double layer capacitance.

Abstract: A method for ascertaining whether a series of sensor values contains an anomaly, including the following steps: providing a shapelet and at least one training data series; measuring in each case a distance between the shapelet and the training data series at a plurality of different predefinable positions of the training data series; ascertaining at least one minimal distance from the measured distances and ascertaining at least one change variable for at least one predefinable data point of the shapelet the change variable being ascertained as a function of at least one of the measured distances. A computer program, a device for carrying out the method, and a machine-readable memory element, on which the computer program is stored are also provided.

Abstract: In a urea injection system of a vehicle, to detect the shortage of the cooling water by using an electric water pump (EWP) to cool a dosing injector during the running of the vehicle engine, the apparatus for detecting shortage of the cooling water in the vehicle includes a urea injector that injects urea into an exhaust pipe of the vehicle, a pump that cools the urea injector, and a controller that applies a reference current to the pump, measures a time taken until a revolutions per minute (RPM) of the pump reaches a reference RPM, and detects the shortage of the cooling water in the pump by comparing the measured time and a reference time.

Abstract: A characterization of an electrochemical device in operation for a future functioning prognosis of the device with, in particular: a storage in memory, for a given device type, of a plurality of variation models over time of at least one functioning parameter of the device, according to respective operation points of the device, and the implementation of a processor accessing this memory and comprising at least one connection to the device to: obtain an item of information relating to a current operation point of the device, recover in the memory, at least one variation model corresponding to the current operation point of the device, receive from the device, at least one measurement of a current value of the functioning parameter, compare said measurement to the variation model recovered from the memory, to temporarily locate the functioning of the device, and, from there, estimate a functioning prognosis of the device.

Abstract: A method of automatically verifying accurate operation of a flowmeter during field operation is provided that comprises providing a flowmeter having meter electronics with a storage system, and flowing a non-calibration process fluid through the flowmeter. Meter electronics are configured to perform the steps of: detecting a model of the flowmeter as well as retrieving an initial factory calibration factory zero value and a stored zero drift specification from the storage system. A zero value is measured during field operation of the flowmeter and compared with the factory zero value. An error zero value is calculated. Whether the error between the field operation zero value and the factory zero value is within the zero drift specification is determined, and the flowmeter is calibrated if the error is outside the zero drift specification.

Abstract: A battery management system for optimizing the internal resistance of a battery includes a current measuring unit that measures a charge current of the battery, a memory that stores a plurality of voltage-current characteristic profiles, and a control unit that determines a reference profile from the plurality of voltage-current characteristic profiles based on a state of charge and temperature of the battery. The reference profile includes a start point, an end point, and a plurality of intermediate points disposed between the start point and the end point. The control unit determines an internal resistance of the battery, sets one of the plurality of intermediate points as a reference point, determines a reference resistance based on the reference point and the end point, and determines an optimal resistance based on the charge current, the internal resistance, the reference resistance and a predetermined upper limit of charge current.

Abstract: Disclosed are analyte monitoring systems and methods for calibrating an analyte sensor using one or more reference measurements. These systems and methods may include using a conversion function and first sensor data to calculate a first sensor analyte level, weighting a first reference analyte measurement (RM1) and one or more previous reference analyte measurements according to a weighted average cost function, updating the conversion function using the weighted RM1 and the one or more weighted previous reference analyte measurements as calibration points, and using the updated conversion function and second sensor data to calculate a second sensor analyte level. In some aspects, the systems and methods may include updating one or more of lag parameters used to calculate the sensor analyte levels.

Abstract: Systems and methods are provided for dynamically tracking the cleanliness of a vehicle's exterior. In particular, a dynamic strategy for cleaning vehicles is provided. In a system including a fleet of vehicles, the vehicles are regularly cleaned to remove dirt, dust, and any other matter that has stuck to the vehicle.

Abstract: In one aspect, there is described a method having: receiving energy consumption data from one or more electricity and/or gas meters associated with a property having one or more devices having larger devices and/or smaller devices; receiving context information data about the property; retrospectively determining, in the received energy consumption data, one or more variations indicative of consumption of the devices; identifying one or more events associated with the devices, based on the determined variations; classifying the identified events into predetermined sub-categories associated with the devices, based on the energy consumption data and the context information data; and associating a proportion of the received energy consumption data to respective predetermined categories associated with the devices, based on the classification in the sub-categories.

Abstract: Techniques for the design and operation of an efficient battery-powered meter are described herein. A metrology unit of the meter may be at least partially located in the gas flow of a pipe, and measures gas flow rate data according to a static flow sensor. The metrology unit calculates raw gas-volume data using at least the flow rate data as input. The metrology unit measures gas temperature to produce gas temperature data, and adjusts the raw gas-volume data, based at least in part on the gas temperature data, to produce corrected gas-volume data. The metrology unit accumulates the corrected gas-volume data over multiple minutes, hours or even days, and then sends the accumulated corrected gas-volume data to an index unit of the meter. By accumulating the data over time, fewer data transmissions are required. The index unit may send the accumulated the accumulated corrected gas-volume data to a utility server.

Abstract: A method is described for automated post-geosteering including receiving a pilot well log and a lateral well log with an initial lateral well path; performing automated post-geosteering to generate a corrected well path image; and displaying the corrected well path image on a graphical display. The method may be executed by a computer system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a seismic data de-blending model. In one aspect, a method comprises: obtaining a plurality of de-blending training examples, wherein each de-blending training example defines: (i) one or more blended seismic traces, and (ii) for each blended seismic trace, a corresponding plurality of target unblended seismic traces; using the de-blending training examples to train a de-blending model having a plurality of de-blending model parameters, comprising, for each de-blending training example: processing the one or more blended seismic traces of the training example using the de-blending model to generate an output which defines, for each of the one or more blended seismic traces of the training example, a corresponding plurality of estimated unblended seismic traces; and adjusting values of the plurality of de-blending model parameters.

Abstract: A method and device for estimating remaining available energy of a power battery is provided. The method includes: estimating, under current state, maximum available energy of a first cell with minimum State of Charge (SOC), and maximum available energy of a second cell with minimum of maximum available capability in the power battery; estimating remaining available energy of the first cell based on its maximum available energy and SOC, and estimating remaining available energy of the second cell based on its maximum available energy and SOC; and estimating the remaining available energy of the power battery based on the number of cells included in the power battery and the smaller one of the remaining available energy between the first and the second cell.

Abstract: A battery information processing system includes a storage device configured to store an equivalent circuit model which expresses an AC impedance of a battery module with a plurality of circuit constants. The plurality of circuit constants include first to eighth circuit constants. The first circuit constant is a junction inductance. The second circuit constant is a junction resistance. The third circuit constant is a solution resistance and the fourth circuit constant is a charge transfer resistance. The fifth circuit constant is a CPE index of a diffusion resistance. The sixth circuit constant is a CPE constant of the diffusion resistance. The seventh circuit constant is a CPE index of an electric double layer capacitance. The eighth circuit constant is a CPE constant of the electric double layer capacitance.

Abstract: A method and system of detecting faults in rotor driven equipment includes generating data from one or more vibration sensors communicatively coupled to the rotor driven equipment. The data from the one or more machine wearable sensors is collected onto a mobile data collector. The data is sampled at random to estimate a maximum value. Further, a sampling error may be controlled under a predefined value. The data may be analyzed through a combination of Cartesian to Spherical transformation, statistics of the entity extraction (such as variance of azimuthal angle), big data analytics engine and a machine learning engine. A fault is displayed on a user interface associated with the rotor driven equipment.

Abstract: According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising a Hypothesis Generation Engine (HGE) to receive one or more property target values for a material; a memory for storing program instructions; an HGE processor, coupled to the memory, and in communication with the HGE, and operative to execute program instructions to: receive the one or more property target values for the material; analyze the one or more property target values as compared to one or more known values in a knowledge base; generate, based on the analysis, an initial set of hypothetical structures, wherein each hypothetical structure includes at least one property target value; execute a likelihood model for each candidate material to generate a likelihood probability for each hypothetical structure, wherein the likelihood probability is a measure of the likelihood that the hypothetical structure will have the target property value; convert each hypothetical structure into a natural