Abstract: A system for intelligently implementing an autonomous agent that includes an autonomous agent, a plurality of infrastructure devices, and a communication interface. A method for intelligently calibrating infrastructure (sensing) devices using onboard sensors of an autonomous agent includes identifying a state of calibration of an infrastructure device, collecting observation data from one or more data sources, identifying or selecting mutually optimal observation data, specifically localizing a subject autonomous agent based on granular mutually optimal observation data, identifying dissonance in observation data from a perspective of a subject infrastructure device, and recalibrating a subject infrastructure device.

Abstract: The disclosed embodiments provide a system that performs seasonality-compensated prognostic-surveillance operations for an asset. During operation, the system obtains time-series sensor signals gathered from sensors in the asset during operation of the asset. Next, the system identifies seasonality modes in the time-series sensor signals. The system then determines frequencies and phase angles for the identified seasonality modes. Next, the system uses the determined frequencies and phase angles to filter out the seasonality modes from the time-series sensor signals to produce seasonality-compensated time-series sensor signals. The system then applies an inferential model to the seasonality-compensated time-series sensor signals to detect incipient anomalies that arise during operation of the asset. Finally, when an incipient anomaly is detected, the system generates a notification regarding the anomaly.

Abstract: A data collection device and method for determining an alternative event condition is presented. The method includes receiving a first data communication including a first data value from a first sensor and determining a first event condition based on the first data value being beyond a predetermined threshold. The method further includes receiving additional data communications including additional data values from one or more second sensors, aggregating the first data value and the additional data values, and determining that the determination of the first event condition is incorrect based on the aggregated data values and a known relationship between the first sensor and the one or more second sensors. The method additionally includes determining a second event condition based on the first data value and the additional data values being beyond the predetermined threshold. An action may then be performed in response to the determination of the second event condition.

Abstract: A nozzle cap for a fire hydrant includes a cap cover comprising a metal material; and a cap body defining a cap axis, the cap body comprising: an inner housing comprising a metal material; and an outer housing comprising a non-metal material, the outer housing disposed axially between the inner housing and the cap cover, the outer housing comprising a substantially circumferential wall, the substantially circumferential wall defining a cavity between the inner housing and the cap cover, wherein a first end of the substantially circumferential wall engages the inner housing.

Abstract: This application is applicable to the field of radar technologies, and provides a radar data processing method, a terminal device, and a computer-readable storage medium. The method includes: obtaining radar data collected by a receiving area array; if the radar data is saturated, performing data fusion processing based on a floodlight distance value to obtain a fusion result; and determining a distance of a target object based on the fusion result. The method can accurately obtain an actual distance of the target object, effectively reduce a measurement error, improve calculation accuracy, and resolve an existing problem of a large deviation of a measurement result when an actual echo waveform cannot be effectively restored because a signal received by the radar is over-saturated when a laser is directly irradiated on a target object with high reflectivity.

Abstract: Systems and methods are provided for use in an IED that perform high resolution waveform capture to generate multi-rate waveform data in real-time. In one embodiment, high-resolution sampled data is dynamically pre-ordered into separate high resolution and low resolution data streams for presentation and storage. This pre-ordering of data is optimized so as to minimize the amount of data manipulation required to prepare the sampled data for eventual presentation and storage in the IED. Pre-ordering of data facilitates minimum performance impact so that continuous real-time data capture can be achieved.

Abstract: The measurement device acquires output data from a sensor unit for detecting road surface lines around, and determines a predetermined range based on an own position and positional information of broken-line type road surface lines. Then, the measurement device extract, from the output data, data corresponding to detection result of the predetermined range, and executes predetermined processing based on the extracted data.

Abstract: A method may include obtaining sensor data describing a total measurable world around a motion sensor. The method may include processing the sensor data to generate a pre-compensation scan of the total measurable world around the motion sensor based on the sensor data. The method may include determining a delay between the obtaining the sensor data and the generation of the pre-compensation scan. The method may include obtaining motion data corresponding to motion of the motion sensor and generating a motion model of the motion sensor based on the motion data. The method may include generating an after-compensation scan of the motion sensor using the delay and the motion model to compensate for continued motion during the delay.

Abstract: A device for the generation of an output signal value making use of sensor signal values of at least three redundant sensors comprises a computing device that is configured to calculate absolute magnitudes of the differences between all possible pairs of the sensor signal values, and to determine the output signal value taking the calculated absolute magnitudes into consideration.

Abstract: An ultrasonic flaw detection device includes: an ultrasonic probe that detects waveform data of ultrasonic echoes emitted to an inspection area of an inspection target; a processing unit that stores pieces of sampling data obtained by sampling the waveform data obtained by the ultrasonic probe at predetermined sampling intervals in a storage unit continuously in time series; and a display control unit that divides the inspection area into a plurality of divided areas and displays each of the plurality of divided areas on a display, wherein the processing unit directly or indirectly links a divided area of the plurality of divided areas to one or more waveform data containing sampling data of one or more sampling point included in the divided area.

Abstract: Examples are disclosed that relate to encoding data on a data-storage medium. The method comprises obtaining a representation of a measurement performed on the data-storage medium, the representation being based on a previously recorded pattern of data encoded in the data-storage medium in a layout that defines a plurality of data locations. The method further comprises inputting the representation into a data decoder comprising a trained machine-learning function, and obtaining from the data decoder, for each data location of the layout, a plurality of probability values, wherein each probability value is associated with a corresponding data value and represents the probability that the corresponding data value matches the actual data value in the previously recorded pattern of data at a same location in the layout.

Abstract: Systems and methods for monitoring underwater structures are provided. First and second sets of point cloud data that are obtained at different times are compared to determine whether the location of the underwater structure has changed. For detecting vibration, a series of range measurements taken along a line intersecting the underwater structure are compared to one another to determine an amplitude and frequency of any vibration present in the underwater structure. For detecting temperature, the ratio of different components of return signals obtained from a point in the water surrounding the underwater structure is measured to derive the temperature of the water. Leak detection can be performed by scanning areas around the underwater structure. Monitoring systems can include a primary receiver for range measurements, and first and second temperature channel receivers for temperature measurements.

Abstract: A sensor device includes a sensor arranged to produce time domain data representative of a sensed time dependent characteristic adjacent the sensor, and a signal processing component. The signal processing component is arranged to use the time domain data to produce frequency domain data indicative of frequency components present in the time domain data. The sensor device also includes a data transmission component arranged to transmit at least a portion of the frequency domain data. The sensor device is arranged to select a subset of frequency domain data corresponding to a defined number of highest peaks in the frequency domain data and to transmit the selected subset of frequency domain data.

Abstract: Discussed herein are devices, systems, and methods for rule-based weather impact assessment. A method can include receiving, by a user interface, a request for environmental condition impact data for specified equipment at a specified location, retrieving weather model data for the specified location, comparing the retrieved weather model data to user-defined rules associated with the specified equipment, and providing, by the user interface, a graphic depiction indicating whether the user-defined rule is satisfied in the specified location based on the comparison.

Abstract: An extrinsic calibration method of multiple 3D LiDAR sensors for an autonomous navigation system is proposed, the method including collecting point clouds by each of the multiple 3D LiDAR sensors; extracting multiple target planes corresponding to a plane from the point clouds of each of the 3D LiDAR sensors; by using the target plane of any one of the multiple 3D LiDAR sensors as a reference plane, detecting a corresponding plane from the target planes of each of the remaining of the 3D LiDAR sensors on the basis of a similarity with the reference plane; calculating initial extrinsic parameters for matching between the reference plane and the corresponding plane based on plane parameters of the reference plane and corresponding plane corresponding to each other; and calculating final extrinsic parameters that minimize variance of measurement points for the reference plane and corresponding plane, on the basis of the initial extrinsic parameters.

Abstract: A ship cabin loading capacity measurement method and apparatus thereof, comprises: acquiring point cloud measurement data of a ship cabin; optimizing the point cloud measurement data according to a predetermined point cloud data processing rule, and generating optimized ship cabin point cloud data; calculating said ship cabin point cloud data with a predetermined loading capacity calculation rule, and getting ship cabin loading capacity data. According to the ship cabin loading capacity measurement method of the present invention, the point cloud measurement data can be acquired by a lidar, and processing the point cloud measurement data of the ship cabin with a predetermined point cloud data processing law and a computation law, and as the point cloud data processing law and the computation law can be deployed in a computer device in advance, after point cloud measurement data acquisition, loading capacity of a ship cabin can be acquired quickly and precisely.

Abstract: A substrate processing apparatus includes a device management controller including a parts management control part configured to monitor the state of parts constituting the apparatus, a device state monitoring control part configured to monitor integrity of device data obtained from an operation state of the parts constituting the apparatus, and a data matching control part configured to monitor facility data provided from a factory facility to the apparatus. The device management controller is configured to derive information evaluating the operation state of the apparatus based on a plurality of monitoring result data selected from a group consisting of maintenance timing monitoring result data acquired by the parts management control part, device state monitoring result data acquired by the device state monitoring control part, and utility monitoring result data acquired by the data matching control part.

Abstract: A method for estimating the junction temperature of the power semiconductor device of the power module is provided. The method includes computing a junction temperature prediction value of the first power semiconductor device based on a power loss and a thermal resistance of the first power semiconductor device and computing a junction temperature prediction value of the second power semiconductor device based on a power loss and a thermal resistance of the second power semiconductor device. A temperature prediction value of the heat sink is computed by subtracting the junction temperature prediction value of the first power semiconductor device from a sensing temperature sensed by the temperature sensor. The junction temperature of the second power semiconductor device is then finally determined by adding the temperature prediction value of the heat sink to the junction temperature prediction value of the second power semiconductor device.

Abstract: The concept described herein relates to a device and a method for determining the transfer function of an angle sensor in the course of operation. For this purpose, a sequence of angle output signals of the angle sensor is received during at least one time interval in which the angle sensor is exposed to a rotating magnetic field. Furthermore, the transfer function of the angle sensor is determined on the basis of the sequence of angle output signals. The method can be carried out during regular operation of the angle sensor.

Abstract: There is described a method of locating an area of interest in a conduit, comprising: measuring multiple acoustic signals at multiple locations along the conduit; for each acoustic signal, determining its autocorrelation; and applying a relationship to the determined autocorrelations to estimate a location of the area of interest, wherein the relationship is between autocorrelations of acoustic signals measured in a modelled conduit and modelled areas of interest in the modelled conduit, wherein it is assumed that acoustic signals propagating along the modelled conduit reflect from at least one point in the modelled conduit.