Abstract: Embodiments of the present disclosure provide a multi-physical field imaging method based on PET-CT and DAS, comprising: wrapping distributed acoustic sensors on a surface of a non-metallic sample to be tested, and then placing them in a pressure device; loading triaxial pressures; preparing a tracer fluid; pumping the tracer fluid into the non-metallic sample; collecting PET images and CT images of internal structure of the non-metallic sample, meanwhile, monitoring internal acoustic emission events of the non-metallic sample in real time; combining the PET images with the CT images, to obtain PET/CT images; locating the acoustic emission events, and obtaining occurrence time and spatial location of internal structural perturbations; and analyzing a mechanism of fluid-solid coupling effect in the non-metallic sample under loaded stress. The imaging method and system of the present disclosure can accurately and reliably image the fluid-solid coupling process in the material.

Abstract: In various example embodiments, techniques are provided for efficient and reliable anomaly detection and evaluation in a water distribution system (e.g., a smart water distribution system) using both flow and pressure time series data from sensors of the system. The techniques may implement a multi-step workflow that involves decomposing the time series data to remove seasonality and rendering the time series data stationary, detecting outliers of the stationary time series data, classifying sensor events in response to flow or pressure of detected outliers exceeding high or low thresholds for at least a given number of time steps, classifying anomaly events by correlating one or more sensor events related to flow with one or more sensor events related to pressure or by clustering a plurality of sensor events in temporal proximity, and determining a quantitative score for each of the detected anomaly events that indicates a level of significance or importance.

Abstract: A data processing system for generating predictive maintenance models is disclosed, including one or more processors, a memory, and a plurality of instructions stored in the memory. The instructions are executable to receive a historical dataset relating to each system of a plurality of systems, the historical dataset including maintenance data and operational data. The instructions are further executable to evaluate correlation between each of a plurality of operational data features and maintenance events of the maintenance data, using a supervised machine learning classification model. The instructions are further executable to display a quantitative result of the evaluation for each operational data feature in a graphical user interface, receive a selection of one or more operational data features of the plurality of operational data features, and generate a predictive maintenance model using the selected one or more operational data features according to a machine learning method.

Abstract: A system for component interconnection for use in liquid chromatography includes a first switching valve and a second switching valve. A first connecting line fluidly connects the first switching valve to the second switching valve. A second connecting line fluidly connects the first switching valve to the second switching valve. A metering device is located in the first connecting line.

Abstract: Velocity tomography using time lags of wave equation migration is disclosed. Seismic tomography is a technique for imaging the subsurface of the Earth with seismic waves by generated a migration velocity model from a multitude of observations using combinations of source and receiver locations. The migration velocity model may be updated in order to reduce depth differences of reflection events (also called residual depth errors (RDE)). Direct measurement of RDE may be difficult in certain complex subsurface areas. In such areas, the RDE may be reconstructed based on time lags of wave equation migration and then used to update the migration velocity model. In particular, the RDE may be directly reconstructed from the time lags of wave equation migration, such as based on a direct relation between RDE and the time lags.

Abstract: A tire sensor device for monitoring a condition of a tire includes a plurality of sensors including a temperature sensor and an accelerometer. The tire sensing device further includes memory configured to store data received by the plurality of sensors and one or more processors coupled with the memory. The one or more processors are configured to perform one or more initial processing operations on the data received by the plurality of sensors. The tire sensor device further includes an antenna, coupled with the one or more processors, configured to wirelessly communicate with one or more external devices.

Abstract: A wireless ultrasound sensor 404 for non-destructive testing of a test object 502, the sensor comprising: an ultrasound transducer 406; a first induction coil 408, electrically coupled to the ultrasound transducer; a second induction coil 414, electrically coupled in parallel with the first induction coil; wherein the first and second induction coils are arranged to enable the transducer to be inductively operated by a remote device 504; and wherein the diameter of the second induction coil is greater than the diameter of the first induction coil.

Abstract: A progressive cellular architectures has been presented for vapor-phase chemical analyzers. The progressive cellular architecture consists of a series of heterogeneous micro-gas chromatography cells. Each individual cell targets vapor species within a specific volatility range by using a unique combination of a preconcentrator and a separation column. The cells are connected progressively in series to cover a broad range of volatile analyte chemical vapors. Valves may inadvertently absorb or adsorb and subsequently release target chemical analyte molecules, thereby interfering with quantitative analysis. Therefore, the inlet to the cells is configured without a valve.

Abstract: An apparatus for assisting maintenance work includes circuitry configured to perform learning based on a data set in association with a replaced or repaired part, or a new part after replacement indicated by work content information, and the learning includes processing an input of the data set or a portion of the data set, in accordance with model parameters of a machine learning model; determining work content information applied to the input; and updating the model parameters of the machine learning model based on the determined work content information.

Abstract: An output management device, an output management method, and a program are provided that manage output of input data to a processing module by a device. The processing module is associated with first metadata indicating a condition of the input data. The input data is associated with second metadata indicating an attribute of the input data. The output management apparatus includes a first acquisition unit, a second acquisition unit, and a notification unit. The first acquisition unit is configured to acquire the first metadata. The second acquisition unit is configured to acquire the second metadata. The notification unit is configured to notify the device of whether or not the input data is allowed to be output to the processing module based on the first and second metadata.

Abstract: A device and method for mounting sensors to components comprising a mounting pad adapted for adhesive attachment to the component and further including a feature allowing for a secondary restraint. In various variations, the sensor may be an accelerometer, vibration sensor, temperature sensor or other sensor. The feature and secondary restraint may include one or more holes in the mounting pad for attachment by safety wire or other restraint to provide limited movement in the case of adhesive failure.

Abstract: The present application relates to a spectral restoring method, including: acquiring a light energy response signal matrix output by a photosensitive chip of a spectral imaging device and a standard spectrum; determining a primitive restoring function and a response signal vector of the primitive restoring function based on the light energy response signal matrix, the primitive restoring function restoring a spectral image value of a predetermined channel corresponding thereto using a predetermined pixel value of the photosensitive chip and pixel values in the vicinity thereof; acquiring a restoring tensor, the product of the restoring tensor and the response signal vector being equal to an output of the primitive restoring function based on the response signal vector; and obtaining a restored spectral image based on the product of the restoring tensor and the response signal vector.

Abstract: A process for the determining of sweet spot intervals based on a combination of rock quality, an in-situ stress regime, natural fractures, and the identification of fluid flow paths from the interaction of hydraulic fracturing and formation attributes. The process may include determining geological components, determining mechanical earth model outputs, and determining sweet spot intervals using additional data from fracture calibration tests. Systems and computer-readable media for the determining of sweet spot intervals are also provided.

Abstract: A system for locating and tracking an object is provided. The system includes a measuring device configured to determine a property of a paving-related material, a locating device configured to determine a location of the measuring device, a tracking system configured to store tracking information associated with the measuring device and one or more properties determined by the measuring device, and a communications system configured to transfer, to a remote device, the location of the measuring device and the tracking information associated with the measuring device.

Abstract: A method of providing process protocols for physical objects, which pass through several production/processing stations in a production/processing line, is provided. In such a method, machine-readable data for uniquely identifying an object are assigned to the object, a reading means is arranged at a production/processing station, by which machine-readable data can be read, a time stamp is assigned to the data, and a process protocol is generated from the machine-readable data, an assignment of the data to the station and/or to the reading means and the time stamp. Each data set describes a process step of a process, and comprises at least a first attribute, in which a unique identification of a process is stored, a second attribute, in which an identification of the process step is stored, and a third attribute, in which a sequence of the process steps within a process is stored.

Abstract: According to some embodiments, a load cell for determining a weight of a large object comprises a base plate comprising at least one recessed opening, a bulk metallic glass plug disposed in the at least one recessed opening of the base plate, and a top plate positioned above the base plate. A portion of the top plate is supported by the bulk metallic glass plug. The load cell further comprises a micro strain sensor coupled to the bulk metallic glass plug. The micro strain sensor is operable to determine a change in micro strain on the bulk metallic glass plug. The bulk metallic glass plug extends to a height where the top plate does not contact the base plate.

Abstract: A method for determining an internal multiple attenuated seismic image is disclosed. The method includes obtaining a seismic dataset composed of a plurality of seismic traces and for each seismic trace determining an internal multiple trace based, at least in part, on a nested truncated correlation and a bounded convolution of the seismic trace with itself. The method further includes determining an internal multiple attenuated seismic trace based, at least in part, on subtracting the internal multiple trace from the seismic trace and combining the internal multiple attenuated seismic trace to form the internal multiple attenuated seismic image. A system including a seismic source, a plurality of seismic receivers, and a seismic processor for executing the method is disclosed.

Abstract: Systems and methods of for tire maintenance using machine learning are provided. The system receives one or more values comprising sensor data and a unique identifier associated with the tire. The system can retrieve historical inspection data associated with the unique identifier of the tire. The system can generate a matrix comprising a first dimension based on timestamps and a second dimension based on the one or more values and the historical inspection data. The system can predict, via input of the matrix into a machine learning model constructed, an output matrix comprising an indication to perform a type of maintenance and at least one tire maintenance category. The system can provide the indication to perform the type of maintenance for the tire during the time interval and the at least one tire maintenance category.

Abstract: The present disclosure proposes a diagnostic system capable of properly identifying the cause of even an error for which multiple factors or multiple compound factors may be accountable. The diagnostic system according to the present disclosure is provided with a learning device for learning at least one of a recipe defining operations of an inspection device, log data describing states of the device, or specimen data describing characteristics of a specimen in association with error types of the device, and estimates the cause of the error by using the learning device (refer to FIG. 4).

Abstract: Various embodiments are directed to methods and apparatuses for determining a weight of one or more objects disposed about an area of the weight measurement device using a single force sensor to accurately measure a force generated by the one or more objects. In various embodiments, the apparatus comprises a housing, a receiving tray, a lever assembly configured to receive a weight force from the receiving tray and generate a collective lever force corresponding to the weight force, the lever assembly comprising a plurality of levers, wherein each lever of the plurality of levers being at least substantially fixed to the housing at a first lever location and configured to receive a partial weight force from the receiving tray at a second lever location, and a force sensor configured to define a fulcrum point along each of the plurality of levers.