Abstract: Methods and systems are disclosed for updating a seismic velocity model of a subterranean region of interest. The method includes receiving an observed seismic dataset and a seismic velocity model, and generating a simulated seismic dataset based on the seismic velocity model and the geometry of the observed seismic dataset, wherein each dataset is composed of a plurality of seismic traces. The method further includes determining a transformed observed seismic dataset and a transformed simulated seismic dataset by determining the instantaneous frequency of at least one member of the plurality of observed seismic traces; and at least one member of the plurality of simulated seismic traces. The method still further includes forming an objective function based on the transformed observed seismic dataset and the transformed simulated seismic dataset and determining an updated seismic velocity model based on an extremum of the objective function.

Abstract: A method is described for estimating seismic velocity from seismic data by training a neural network using a subset of a seismic dataset and the velocity model; estimating a second velocity model using the neural network and a second subset of the seismic dataset; and displaying the second velocity model on a graphical user interface. The method may be executed by a computer system.

Abstract: A deterioration degree of a robot body is precisely evaluated. A robot control device 300 includes: a drive control unit 309 controlling operation of a robot body 200; a detection unit 310 detecting a signal used for analysis of a feature amount quantitatively indicating a deterioration degree of the robot body 200 deteriorated over time as the robot body 200 is operated; a determination unit 304 determining whether a data section of the signal includes a constant speed section equal to or greater than a given section; a normalization unit 305 normalizing a signal in a non-constant speed section when the data section of the signal does not include the constant speed section equal to or greater than the given section; an analysis unit 307 analyzing the feature amount; and an estimation unit 308 estimating a remaining life of the robot body 200 based on the feature amount.

Abstract: The invention compensates for abnormal operating temperatures and/or abnormal behaviors of a holographic metasurface antenna (HMA) that is generating a beam based on a holographic function. The HMA is characterized with different holographic functions for a plurality of operating temperatures and a plurality of behaviors during the manufacturing process. The characterization of the HMA identifies different hologram functions that cause the HMA to generate more or less heat or exhibit more or less abnormal behavior while generating equivalent beams. Further, or more characterizations of a hologram function may be performed remotely after the HMA is installed in a real world environment. An operating temperature and/or a temperature gradient may be detected by temperature sensors physically located on a circuit board for the HMA.

Abstract: Methods and assemblies may be used for determining and using standardized spectral responses for calibration of spectroscopic analyzers. The methods and assemblies may be used to calibrate or recalibrate a spectroscopic analyzer when the spectroscopic analyzer changes from a first state to a second state, the second state being defined as a period of time after a change to the spectroscopic analyzer causing a need to calibrate or recalibrate the spectroscopic analyzer. The calibration or recalibration may result in the spectroscopic analyzer outputting a standardized spectrum, such that the spectroscopic analyzer outputs a corrected material spectrum for an analyzed material, and defining the standardized spectrum. The corrected material spectrum may include signals indicative of material properties of an analyzed material, the material properties of the material being substantially consistent with material properties of the material output by the spectroscopic analyzer in the first state.

Abstract: A windscreen wiper system (WWS) architecture is provided. The WWS architecture includes a wiper assembly and an electronic control unit (ECU) configured to control operations of the wiper assembly. The ECU is configured to recognize that a command to engage a predefined wiper mode is received. The predefined wiper mode is characterized in that a windscreen is divided into sectors and the wiper assembly is controllably operated to sweep across one or more of the sectors in a predefined pattern with a predefined sweep speed. The ECU is further configured to control the wiper assembly to operate in the predefined wiper mode according to the command being received.

Abstract: According to an example aspect, there is provided a method comprising a non-cellular receiver configured to receive first sensor data from a first wireless sensor node and second sensor data from the first or a second wireless sensor node, a processor configured to determine whether the second sensor data is a duplicate of the first sensor data and a cellular transmitter configured to transmit, responsive to the determination, third sensor data to a server, wherein said third sensor data is based on at least one of said first and second sensor data.

Abstract: Provided is a method of managing a target process. The method performed by a process management apparatus includes: generating a reference pattern indicating a normal state based on reference observed data on a process factor measured while the target process is maintained in the normal state; obtaining observed data on the process factor measured for a specified observation period; calculating a dissimilarity between the reference pattern and the observed data; and constructing a regression tree for the target process by using the observed data and the dissimilarity, wherein the process factor is set as an independent variable of the regression tree, and the dissimilarity is set as a dependent variable of the regression tree.

Abstract: The present disclosure provides a method for managing a pipe network of natural gas. The method may comprise: obtaining pipe network information of natural gas in at least one area, the pipe network information including a running time of a system of the pipe network of the natural gas and gas leakage information of the pipe network; extracting feature information based on the running time and the gas leakage information; predicting a maintenance time of the pipe network by inputting the feature information into a maintenance time prediction model.

Abstract: Methods and systems for status determination are disclosed. A computing device may determine a status of the computing device or another computing device. The status may be based on operational data. One or more actions may be taken based on the status of the computing device or the another computing device. For example, at least one computing task may be performed based on the status.

Abstract: A method includes receiving location data of a monitoring device when carried by a user and receiving motion data of the monitoring device. The motion data is associated with a time of occurrence and the location data. The method includes processing the received motion data to identify a group of the motion data having a substantially common characteristic and processing the location data for the group of the motion data. The group of motion data by way of processing the location data provides an activity identifier. The motion data includes metric data that identifies characteristics of the motion data. The method includes transferring the activity identifier and the characteristics of the motion data to a screen of a device for display. The activity identifier being a graphical user interface that receives an input for rendering more or less of the characteristics of the motion data.

Abstract: Techniques for selecting a spectroscopic light source include obtaining a light source dataset and a spectroscopic dataset, initializing a genetic algorithm, selecting a first individual solution and a second individual solution from an initial generation of solutions, generating a new individual solution from the first and second individual solutions by combining their respective chromosome encodings, evaluating a specificity of the new individual solution to a target material, adding the new individual solution to a new generation of solutions, populating the new generation of solutions with a plurality of additional individual solutions, generating one or more descendent generations of solutions by iterating the genetic algorithm, selecting one or more implementation individual solutions exhibiting a threshold specificity to the target material, and outputting the one or more implementation individual solutions.

Abstract: In some examples, a computer-readable medium stores executable code which, when executed by a processor, causes the processor to obtain a threshold pulse rate that is based on an average pulse rate of a gamma radiation detector tool and on a desired probability that the threshold pulse rate will not be exceeded by the gamma radiation detector tool. The code also causes the processor to identify instances of pulse from the gamma radiation detector tool that do not exceed the threshold pulse rate, and output an indication of the identified instances of pulses for use in a measurement-while-drilling application.

Abstract: A computerized method performed by a processor, an apparatus and a computer program product the method comprising: receiving a model associating motion parameters of an action performed by a subject with a score, the model based at least partially on data obtained in a controlled environment while performing a task on a first time period; determining action parameters during motion of the subject within an uncontrolled environment on a second time period; and providing the action parameters to the model, to obtain an assessment of an expected score for the subject performance of the task as would be performed by the subject in the controlled environment.

Abstract: The data collecting method includes: collecting first and second sensor data respectively through a first and a second sensors while a data collecting apparatus moves within a target area, and tagging a first and a second timestamp values respectively to the first and the second sensor data; generating map data of the target area and location data at a point of time corresponding to the first timestamp value, based on the first sensor data; generating map information of the target area based on the map data, and generating moving path information on the map based on the location data; and estimating a sensing location at a point of time corresponding to the second timestamp value based on the moving path information, and tagging the sensing location to the second sensor data.

Abstract: A frequency characteristic measurement device that measures the frequency characteristic of a measurement target includes: a multi-sine signal generation unit that generates a multi-sine signal; a sweep sinusoidal wave generation unit that generates a plurality of sweep sinusoidal waves; an input signal switching unit that selects any one of the multi-sine signal and the sweep sinusoidal waves so as to input the selected one to the measurement target; a data acquisition unit that acquires, at a predetermined sampling frequency, sampling data of an input signal which is input to the measurement target and sampling data of an output signal which is output from the measurement target; and a characteristic calculation unit that calculates a frequency characteristic including the gain and the phase of the input and output signals in the measurement target from the sampling data of the input and output acquired.

Abstract: Disclosed is a method comprising acquiring a value relating to VEGF-A of a subject, wherein the value is a measured value of total VEGF-A in a blood sample, or a value obtained by dividing a measured value of VEGF-A165b in the blood sample by a measured value of total VEGF-A in the blood sample (VEGF-A165b/total VEGF-A), and the value suggests prognosis of myocardial infarction of the subject or severity of coronary artery disease of the subject.

Abstract: A method of operating an apparatus for analysing the condition of a machine having a part rotating with a speed of rotation, includes receiving a first digital signal dependent on mechanical vibrations emanating from rotation of the part, analyzing the first digital signal So as to detect peak amplitude values during a finite time period, the finite time period corresponding to a certain amount of revolution of the part, the certain amount of revolution corresponding to more than one revolution of the monitored rotatable part, defining amplitude ranges, sorting the detected peak amplitude values into corresponding amplitude ranges so as to reflect occurrence of detected peak amplitude values within the plurality of amplitude ranges, and estimating a representative peak amplitude value in dependence on the sorted peak amplitude values and the certain amount.

Abstract: Determining when an estimated altitude of a mobile device can be used for calibration or location determination. Particular systems and methods determine an area in which the mobile device is expected to reside, determine an altitude value of each section of a plurality of sections in the area, determine if the altitude values meet a threshold condition, and determine that the estimated altitude of the mobile device can be used for determining the position of the mobile device or for calibrating a pressure sensor of the mobile device when the altitude values meet the threshold condition.

Abstract: Conformance testing of a rebuilt motor includes disposing a motor under test in a motor test stand, coupling a plurality of sensors to the motor under test including a first vibrational sensor to the motor under test; a first temperature sensor to the motor under test; a first rotational speed sensor to the motor under test. A set of test parameters are received comprising parameters for a conformance test, the test parameters including a vibrational sensor parameter, a temperature sensor parameter, and a rotational speed parameter. A motor under test is placed in an on-state and a processing device receives sensor data simultaneously from the sensors, determines that the rotational speed satisfies the rotational speed parameter, and stores time sampled sensor data received from the plurality of sensors relative to a time zero corresponding to a time when the rotational speed satisfies the rotational speed.