Abstract: A road surface friction coefficient estimating device includes an electronic control unit. The electronic control unit is configured to: compute a system noise variance value as an index indicating a degree of variation in a road surface friction coefficient estimation value; compute an observation noise variance value as an index indicating a degree of variation in observation noise; compute, with regard to an observation deviation, an index indicating a degree of shift of the observation deviation that is newly obtained as to an index indicating a degree of past variation in the observation deviation; compute the index as a friction coefficient change amount; compute a Kalman gain; and add in the friction coefficient change amount when computing the system noise variance value.

Abstract: Methods and an expert system for processing a plurality of inputs collected from sensors in an industrial environment are disclosed. A modular neural network, where the expert system uses one type of neural network for recognizing a pattern relating to at least one of: the sensors, components of the industrial environment and a different neural network for self-organizing a data collection activity in the industrial environment is disclosed. A data communication network configured to communicate at least a portion of the plurality of inputs collected from the sensors to storage device is also disclosed.

Abstract: The present embodiments include new methods for low-cost inertial measurement units (IMU) using an extended Kalman filter (EKF) to increase the navigation parameters accuracy or reduce the total RMS errors even during the unavailability of Above Ground Markers (AGM) using new developed method called PipeLine Junctions (PLJ) detection. This method detects the pipeline junctions and adds heading and pitch constraints to the Pipeline Inspection Gauge (PIG) motion between junctions. The results of this such embodiments with a micro-electro-mechanical systems (MEMS) based IMU showed that the position RMS errors have been reduced around 85% of the original applied EKF solution. Therefore, this approach is a useful solution for PIG navigation system.

Abstract: Aspects relate to calculating energy expenditure values from an apparatus configured to be worn on an appendage of a user. Steps counts may be quantified, such as by detecting arm swings peaks and bounce peaks in motion data. A search range of acceleration frequencies related to an expected activity may be established. Frequencies of acceleration data within a search range may be analyzed to identify one or more peaks, such as a bounce peak and an arm swing peak. Novel systems and methods may determine whether to utilize the arm swing data, bounce data, and/or other data or portions of data to quantify steps. The number of peaks (and types of peaks) may be used to choose a step frequency and step magnitude. At least a portion of the motion data may be classified into an activity category based upon the quantification of steps.

Abstract: A fluid level measurement system includes a first pressure sensor disposed inside a fluid tank at a first elevation relative to a height axis of the fluid tank, and a second pressure sensor disposed inside the fluid tank at a second elevation relative to the height axis of the fluid tank, the second elevation different from the first elevation. The first pressure sensor and the second pressure sensor are configured to provide a signal indicative of a sensed pressure, and fluid height is calculated from the difference in sensed pressure between the first and second pressure sensors relative to the sensed pressure of either the first or the second pressure sensor.

Abstract: Systems and methods are disclosed which provide for a “factory-calibrated” sensor. In doing so, the systems and methods include predictive prospective modeling of sensor behavior, and also include predictive modeling of physiology. With these two correction factors, a consistent determination of sensitivity can be achieved, thus achieving factory calibration.

Abstract: A system is provided including a current sensor arranged to sense current drawn by an electric motor of a powered device through an AC power line from a power supply and provide current data related to the powered device; a monitoring device arranged to receive the current data from the electrical sensor, the monitoring device including a controller processing the current data to obtain performance data associated with the powered device, the performance data relating to load applied to the electric motor; a data communication device communicating with the monitoring device and arranged to receive the performance data associated with the powered device; and a computing device including a graphical user interface, the computer device receiving a user's selection of the powered device from a list of powered devices and presenting the performance data to the user via the graphical user interface in response to the user's selection.

Abstract: A device includes: a first portion configured to be grasped by the hand of the user, and a second portion defining a reservoir containing a control material, wherein the control material contains a target analyte in a known or predetermined concentration. A method of verifying the accuracy of an analyte monitoring device includes receiving a fluid sample, identifying the fluid sample as a control solution, and analyzing the fluid sample.

Abstract: Embodiments of the disclosure include a casing installation monitoring system that monitors surface equipment (that is, equipment of a rig), provides information on casing installation operations (for example, hook load, torque, RPM, and cumulative fatigue) at various times and depths, provides initial casing installation guidelines, and provides alarms before and during the casing installation operation.

Abstract: A predictive analytics apparatus, engine, system and method capable of providing real time analytics in a manufacturing system. The apparatus, engine, system and method may include a data input capable of receiving raw data output from at least one machine operable to effect the manufacturing system embodiments, and a processor associated with a computing memory and suitable for executing code from the computing memory.

Abstract: Aircraft landing gear strut breakout friction values are used to correct measured strut pressure as related to the amount of weight supported; with the ability to generate and refine the breakout friction value database, and ability to predict a future breakout friction correction value by trending historical measurements, as compared to recent measurements, as further compared to real-time breakout friction values. The system is used in monitoring, measuring, computing and displaying the weight and center of gravity for aircraft utilizing telescopic oleo landing gear struts.

Abstract: Methods for verifying and updating connectivity information in a geographic information system may consider location information for meters and transformers and voltage data obtained by the meters. Meters that are incorrectly associated with a transformer may be flagged and candidate transformers may be evaluated to identify a correct association. The analysis may consider voltage data from multiple meters to determine correlation values. Correlation values or confidence factors may be used to identify a transformer for the correct association.

Abstract: A seismic observation device includes an input unit receiving input of time-series data of measurement values of a vibration, a processing target determination unit determining a time period of the time-series data that is a processing target, and a type determination unit acquiring a likelihood of classifying a cause of the vibration indicated in the time-series data in the time period into each of types of cause.

Abstract: A method performed within a user device includes receiving at least one response signal corresponding to a respective tag. The method includes, identifying a directional location of the respective tag relative to the user device. The method includes estimating a distance of the respective tag relative to the user device. The method includes correlating the directional location and distance of the respective tag to generate corresponding position information. The position information provides more precise point location of the object. The method includes outputting the corresponding position information to an electronic display.

Abstract: A system and method for identifying potential targets for a pharmaceutical compound. The system includes a database arrangement operable to store existing data sources and information related to the pharmaceutical compound; and a processing module communicably coupled to database arrangement. The processing module is operable to receive information related to the pharmaceutical compound, wherein the information includes at least one known target associated with the pharmaceutical compound; extract plurality of targets from existing data sources, wherein the existing data sources comprise plurality of data records and wherein each of the plurality of targets is associated with the pharmaceutical compound in at least one data record; analyse druggability of each of plurality of targets to determine a preliminary set of targets; determine net score for each of the targets in preliminary set of targets; and designate targets with a net score above a predefined threshold, as potential targets.

Abstract: Provided are methods of reducing water consumption in a fracturing operation. The methods can include imaging a geologic formation surrounding a borehole using a downhole tool within the borehole. The method can further include identifying, within the image, fractures conducive to hydrocarbon production; correlating the fractures conducive to hydrocarbon production to fracture zones; and selecting locations of the fracture zones to be hydraulically fractured, wherein the selected locations collectively represent less than the axial length of the borehole, thereby reducing water consumption compared to hydraulic fracturing along an entirety of the axial length.

Abstract: Embodiments of the present disclosure provide a DAS same-well monitoring real-time microseismic effective event identification method based on deep learning, including: constructing a DAS-based horizontal well microseismic monitoring system; constructing a training data set, including microseismic event data, pipe wave data and background noise data with different types of labels; constructing a signal identification module; training the signal identification module by using the training data set; preprocessing actual monitoring data, inputting the preprocessed data into the signal identification module to obtain an output result; marking microseismic events identified in the output result, and updating the marked microseismic events into the training data set; and adjusting and updating the signal identification module. The identification method according to the present disclosure can identify microseismic events in DAS same-well monitoring data in real time and efficiently.

Abstract: A method for mapping fiber optic distributed acoustic sensing (DAS) measurements to particle motion involves obtaining, from a fiber optic DAS system in a wellbore, a first set of DAS data associated with a first seismic wave; obtaining, from a discrete seismic receiver in the wellbore, measured particle motion data associated with the first seismic wave; generating training data from the first set of DAS data and the measured particle motion data; training a machine learning model using the training data; obtaining a second set of DAS data associated with a second seismic wave; and determining a predicted particle motion in response to the second seismic wave using the machine learning model applied to the second set of DAS data.

Abstract: A method determines the overload capacity of a high-voltage device. The method includes creating a load forecast request for a predefined time period, determining an operational state of the high-voltage device by obtaining state parameters, transmitting the load forecast request and the state parameters at a request time to a load-forecasting model, and determining the maximum utilization in the predefined time period by the load-forecasting model, with which the overload capacity of a high-voltage device can be fully exploited. A lifetime consumption of the high-voltage device before the request time is derived from measured values by obtaining an actually consumed lifetime and the actually consumed lifetime is fed to the load-forecasting model as a state parameter. The load-forecasting model then determines the maximum overload capacity depending on the actually consumed lifetime.

Abstract: The present invention relates to a system for distributed acoustic sensing in a marine environment surrounding a repeater along a fibre-optic submarine communications cable. The system includes at least one distributed acoustic sensing (DAS) unit. Each DAS unit further includes a light source that is configured to transmit outgoing light in at least one fibre-optic sensing cable that is located in the marine environment and a receiver configured to receive reflected light that includes at least one optical property influenced by an acoustic disturbance in the marine environment. Each DAS unit further includes an optical multiplexer for multiplexing optical signals onto the fibre-optic submarine communications cable via the repeater where the optical signals carry information on the at least influenced optical property. A method for distributed acoustic sensing in the marine environment is also disclosed.