Abstract: Disclosed are various embodiments for an automated temperature logging and predictive alerting system for monitoring items that are being cooled or heated. In one embodiment, a predictive logging application may compare a predicted temperature curve of an item to a predefined slope to predict whether or not the item will meet a target threshold. The target threshold may be a target temperature or duration rule that can be aggregated discontinuously over a single day or multiple days. If the projected temperature curve is predicted to not meet the target threshold, the logging application may send alerts notifying a client of available corrective actions. In projecting the predicted slope, the predictive logging application may train machine learning models to analyze historical data associated with the item and the user.

Abstract: A testing platform tests an electrical and mechanical system such as an HVAC unit according to an algorithm that reduces the total testing time of the components of the system, while ensuring the safety of the system during system-wide testing. The platform uses constraints that are checked both before and during the testing to ensure that HVAC operating conditions are acceptable for starting and maintaining component tests. Preferably, the platform uses finite-state machines for each device to organize the component tests, allowing for monitoring of constraints and starting, pausing, and stopping component tests. Preferably, total test execution time is reduced by running component tests in parallel, running component tests based on loads of the components, or combinations of both.

Abstract: A monitoring system includes monitoring devices provided in a monitored device, and a controller that wirelessly communicates with the monitoring devices to acquire monitoring information. In an operating state of the monitored device, the controller and the monitoring devices establish individual connections in which the controller acting as a communication master performs wireless communication with each of the monitoring devices acting as communication slaves. In a non-operating state of the monitored device, the controller and the monitoring devices maintain communication between the controller and the monitoring devices by establishing a sequential connection.

Abstract: A method for tracking a gear tooth meshing angle of a gearbox of a wind turbine is disclosed. An initial reference virtual gear tooth meshing angle of the gearbox is selected, and an angular position of a high speed shaft and/or a low speed shaft of the gearbox is monitored. A virtual gear tooth meshing angle relative to the reference virtual gear tooth meshing angle is estimated, based on the monitored angular position of the high speed shaft and/or the low speed shaft and on information regarding topology of the gearbox. A number of full rotations of the high speed shaft and/or the low speed shaft which corresponds to an integer number of full periods of gear meshing of the gearbox is calculated, and the reference virtual gear tooth meshing angle is reset each time the high speed shaft and/or the low speed shaft has performed the calculated number of full rotations. The estimated virtual gear tooth meshing angle is applied to a periodic noise signal of the wind turbine.

Abstract: Systems and methods of associating a test compound with a reference compound are provided. A fingerprint of a chemical structure of the test compound is obtained. Abundance values for a set of cellular constituents are also obtained, from one or more reference assays, across a plurality of cells that have been exposed to a control solution free of the test compound. The fingerprint and the abundance values are inputted into a model that outputs a predicted similarity between (i) a predicted perturbational effect of the test compound across the set of cellular constituents and (ii) a measured cell-based perturbational effect of the reference compound across the set of cellular constituents. When the predicted similarity achieves a threshold similarity, the test compound is associated with the reference compound.

Abstract: A flow metering system is generally presented herein. The flow metering system is generally configured to measure liquid flow from a liquid dispensing system and to track volume change and other measurable characteristics of the liquid in real time. The flow metering system may include a flow sensor. The flow sensor may be positioned in line with a liquid flow line, or in a separate line where the remainder of the liquid exits via a bypass, where the liquid flow line is connected to and configured to dispense liquid from a pre-packaged liquid volume, or a reservoir. For example, the flow sensor may be connected in-line to a beer line, such as vinyl piping, for a beer keg or soda dispensing tank. However, it will be appreciated that the flow metering system may be used with any type of liquid dispensing system.

Abstract: A method of producing an image of at least one rock cutting. The method can include forming or obtaining a substrate having a patterned top surface. The method can also include using the patterned top surface of the substrate to support at least one rock cutting, controlling an image acquisition system to acquire at least one image of the rock cutting for storage and subsequent image processing.

Abstract: A diagnostic method and system for measuring potential and electric field of plasma are provided. According to operation parameters of a magnetic confinement fusion device and relevant parameter data of a plurality of candidate particle elements, signal-noise ratios are calculated. to select a neutral beam particle element. Beam trajectories varying in incident velocity, incident angle and sampling area are obtained by iterative calculation, and a preset parameter which enables the beam trajectories to pass through an entrance slit of an analyzer is obtained. A neutral beam that meets the preset parameter is injected into the plasma. An energy of the primary beam generated by collision ionization in a sampling area is measured, and potential of the sampling area is obtained according to law of conservation of energy. Sampling areas are detected to obtain potential spatial distribution of the plasma and a radial electric field, and the diagnostic is finished.

Abstract: Systems and methods for ultrasonic liquid level sensing. A circuit causes an ultrasonic transducer to transmit a sequence of ultrasonic pulses and receive a sequence of reflected signals. Each reflected signal includes at least one first reflection associated with at least one non-moveable surface and at least one second reflection associated with a moveable surface. A digital controller, for each reflected signal: determines at least one of a magnitude and a variance of the respective signal to form at least one output signal, identifies, in the at least one output signal, at least one first pulse indicative of the at least one non-moveable surface and at least one second pulse indicative of the moveable surface, and determines a distance of the moveable surface relative to the at least one non-moveable surface based on the identified first and second pulses.

Abstract: A method based on sensor information of a MOX sensor. Sensor information captured at different operating temperatures in different freshness state determination cycles determines a freshness state of a food. Additional information relating to a food is determined. A storage container, a computer program product, and a household cooling appliance for carrying out the method.

Abstract: An example system may implement automated data modeling and scaling of a soil health data fabric. For example, the example system may be configured to compile data measurements from disparate soil health data sources and integrate the data measurements with baseline soil samples, satellite imagery, or both. According to such an example, the system may train a machine learning algorithm using the integrated data measurements to determine most accurate local soil quality estimates and execute the machine learning algorithm to output soil quality estimate data models based on the data measurements. The example system may also train and refine local soil quality estimate data models to generate a regional soil quality estimate data model. In such an example, the system may scale the local and regional soil quality estimate data models and output soil quality estimates for a target region based on extended satellite imagery.

Abstract: Provided is a fault signal locating and identifying method of industrial equipment based on a microphone array. The method includes the steps of: acquiring sound signals and dividing the acquired signals into a training set, a verifying set and a test set; performing feature extraction on the sound signals in the training set, and extracting a phase spectrogram and an amplitude spectrogram of a spectrogram; sending an output of a feature extraction module, as an input, to a CNN, and in each layer of the CNN, learning a translation invariance in the spectrogram by using a 2D CNN; in between the layers of the CNN, normalizing the output by using a batch normalization, and reducing a dimension by using a maximum pooling layer along a frequency axis; sending an output from the layers of the CNN to layers of RNN; using a linear activation function; and inputting an output of a full connection layer to two parallel full connection layer branches for fault identification and fault location, respectively.

Abstract: A computer implemented method for determining performance of a semiconductor device is provided. The method includes providing training data comprising input state values and training capacitance values to a neural network executing on a computer system; processing the input state values through the neural network to generate modeled charge values; converting the modeled charge values to modeled capacitance values; determining, by the computer system, whether the training capacitance values of the training data are within a threshold value of the modeled capacitance values utilizing a loss function that omits the modeled charge values; and in response to determining that the training capacitance values of the training data are within the threshold value of the modeled capacitance values, converting, by the computer system, the neural network to a circuit simulation code to generate a converted neural network.

Abstract: A method for self-discovery of an array of linear sensors, wherein each linear sensor has a unique identifier, the method includes: for each accessory, identifying a linear sensor situated upstream or downstream of the linear sensor; sending a local request to the identified sensor/accessory; sending a general request to the plurality of linear sensors and/or accessories in the array; receiving a response to the at least one local request by said linear sensor and/or the accessory; sending a response to the general request by said linear sensor and/or by the accessory, the response to the general request sent by the linear sensor comprising the unique identifier; and processing the response to the general request received from each linear sensor and/or from each accessory by the central processing unit allowing to reconstitute the logical topology of the network as a function of the unique identifiers received.

Abstract: A method for physical exercise using a motion tracking system having a computing device and inertial measurement units adapted to be arranged on body members of a person. The method includes: digitally processing first sets of measurements provided by the units to determine whether and adjust the operation of the motion tracking system when: any of the units is arranged on a body member with an orientation outside of a predetermined orientation range for a unit on that body member; and/or two or more units arranged on interchanged body members according to the predetermined unit arrangement; adjusting the operation of the motion tracking system when the computing device determines, based on at least the first sets of measurements, that: at least one unit has an orientation outside of the predetermined orientation range, and/or two or more units are arranged on interchanged body members; and digitally processing second sets of measurements.

Abstract: A method and system are provided for anomaly detection in energy systems. Non-contact sensing of an energy system based on electric and magnetic fields uses non-contact electric- and magnetic-field sensors to produce electric- and magnetic-field signals. The electric and magnetic field signals are filtered to remove noise. Features are extracted and normalized from the magnetic and electric field signals to characterize parameters of each signal. Density-based spatial clustering of extracted features is performed using a selected minimum number of points required to form a cluster and a parameter indicating the distance within which data are considered to fall within the cluster. An anomaly is determined from data point(s) that do not fall within the cluster formed by data points in normal operation. The density-based spatial clustering of extracted features may be performed using a Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm. Features may be extracted using Fourier analysis.

Abstract: An agricultural application is provided herein that includes a nozzle assembly positioned along a boom assembly and configured to selectively dispense an agricultural product therefrom. One or more sensors can be operably coupled with the boom assembly and can be configured to capture data associated with one or more application variables. A computing system can be communicatively coupled to the one or more sensors and to a display. The computing system can be configured to receive the data associated with the one or more application variables; convert the one or more application variables to a scaled integer to determine a spray quality index; generate a geo-located application map of the scaled integer; and present the geo-located application map on the display.

Abstract: A data analysis system includes a gas measuring device (2), providing current data and/or historical data, which are stored in a memory (3), and a data processing unit (1). The data includes information on a gas measuring device time of data acquisition. The device transmits data to an interface configured to receive the data and to feed data to the data processing unit and/or to an additional memory (5). A data identification unit (6) is configured to add a specific identifier to the data and add a piece of information on a system time during the data transmission and/or the gas measuring device time during the data transmission. The data processing unit is configured to process the data provided by the gas measuring device and/or by the additional memory such that the system time and the gas measuring device time are taken into consideration.

Abstract: A method of calibrating a laser galvanometer to an XY stage by directing a defocused laser beam through a galvanometer and onto an XY stage and re-centering the laser beam at subsequent positions on the XY stage. Offsets are calculated based on the required movement of the galvanometer to recenter the laser beam at each of the positions on the XY stage. The laser beam may be defocused by focusing the laser beam at a distance Z both above or below the XY stage for each position and then calculating the offset for each position by averaging the values calculated at the focus distances Z above and below the XY stage. The laser beam may also be defocused by passing it through a pinhole.

Abstract: A method and a system for using machine learning technologies to predict the value and timing of operational parameters. These predictions are then used to identify the risk of certain well incidents to occur, and if so notify responsible personnel thereof as to allow preventive actions to be taken.