Abstract: An information processing system comprises: an acquisition means configured to acquire vibration of a device that vibrates during operation, as time-series data of a physical quantity A indicated by a plurality of axis components in a three-dimensional coordinate system; a calculation means configured to calculate a first evaluation value E indicating a degree of bias of the vibration of the device between axes, based on the time-series data of the physical quantity A; and an estimation means configured to estimate a degradation level G of the device based on the first evaluation value E.

Abstract: An evaluation section identifies, in a list of candidate compounds, a group of candidate compounds having the degree of reverse similarity greater than or equal to a threshold s1. When all candidates in the group of candidate compounds have differences between the degrees of similarity that are greater than or equal to a threshold s2, the evaluation section judges that there is a composite state. The difference between the degrees of similarity is computed by subtracting the degree of forward similarity from the degree of reverse similarity. The similarity ratio may be used in place of the difference between the degrees of similarity.

Abstract: System and techniques for tracking caloric expenditure using sensor driven fingerprints are described herein. A set of outputs may be obtained from a plurality of sensors. A fingerprint may be generated using the set of outputs. The fingerprint may correspond to an activity observed by the plurality of sensors. The generated fingerprint may be compared to a set of fingerprints stored in a database. Each fingerprint of the set of fingerprints may correspond to a respective caloric expenditure. A caloric expenditure may be calculated for the activity based on the comparison. An exercise profile of a user may be updated using the caloric expenditure.

Abstract: An embodiment of the present invention discloses a monitoring and repair method for a planetary exploration parachute system. The monitoring and repair method includes: sensing an impact force of dust and generating a sensing signal by a sensor; receiving the sensing signal by an electrode in a fuse; and when the sensing signal is greater than a preset threshold, fusing a safety wire in the fuse; after the safety wire is fused, changing a spring in the fuse from a compressed state to a natural state to generate tension; and rotating a repair rod under an action of the tension to drive a folding piece to be changed into an unfolded state from a folded state, thus realizing precise evaluation of impact damage of dust particles to a parachute body, closed-loop control and real-time self-repair.

Abstract: An apparatus, a method, and a computer program for determining a chamfer property of a workpiece chamfer are provided. The method includes generating measurement points along at least a first measuring path, the first measuring path running over a first chamfer edge, determining at least one unadapted compensating element for the measurement points of the first measuring path, and determining a spatial position of the first chamfer edge depending on a deviation between the measurement points of the first measuring path and the at least one unadapted compensating element.

Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

Abstract: A method and system for localizing faults in an industrial process is proposed. The industrial process includes a plurality of components. The method includes receiving structural plant data from an industrial plant. A structured model of the process is generated from the structural plant data. Sensor data measuring characteristics of the plurality of components is also received. Parameters of the structured model are identified from the received sensor data and stored. Faults are detected during operation of the industrial plant utilizing the identified parameters and detecting changes in the parameters by comparing current parameters to stored parameters. The fault information is then displayed via a display to an operator.

Abstract: A method and a system for estimating state of wear of a cutting tool mounted on a machine tool. The system includes an acquisition module configured to acquire at least one operating signal specific to the cutting tool during at least one interaction of introduction or of extraction between the cutting tool and the material to be machined, and a microprocessor configured to generate from the at least one operating signal a wear signature of the cutting tool and to determine the state of wear of the cutting tool as a function of the signature.

Abstract: The disclosure relates to a method for measuring a dielectric tensor of a material. Firstly, a partial conversion matrix Tp and a transmission matrix Tt are determined by a predetermined initial value ?(E) of the dielectric tensor of the material to be measured, thereby obtaining a transfer matrix of an electromagnetic wave on a surface of the material to be measured by the partial conversion matrix Tp, the transmission matrix Tt, and an incident matrix Ti, a theoretical Mueller matrix spectrum MMCal(E) of the material to be measured is determined by the transfer matrix Tm. A fitting analysis is performed on the theoretical Mueller matrix spectrum MMCal(E) and a measured Mueller matrix spectrum MMExp(E) of the material to be measured to obtain the dielectric tensor of the material to be measured.

Abstract: In accordance with an embodiment, a method for monitoring a data converter configured to convert data using a calibration determined by a calibration data record includes calibrating the data converter in order to determine a corresponding multiplicity of time associated calibration data records at a multiplicity of different times; and determining a state of the data converter based on comparing at least one of the multiplicity of time associated calibration data records with a comparison data record.

Abstract: A thickness analyzer unit for determining a thickness of a layer includes a temperature change device, a temperature sensor, a memory, and a controller. The temperature change device is configured to induce a temperature change of the layer from a first temperature value to a second temperature value. The temperature sensor is configured to generate first temperature data corresponding to the first temperature value and second temperature data corresponding to the second temperature value. The memory is configured to store the first and second temperature values, a thermal conductivity value, a specific thermal capacity value, and a density value. The controller is configured (i) to determine a time constant value of the layer based on the first and second temperature values, and (ii) to determine the thickness of the layer based on the time constant value, the thermal conductivity value, the specific thermal capacity value, and the density value.

Abstract: A sensor system includes a sensor that is provided in a structure and detects an acceleration, a storage unit that stores installation information indicating a relationship between a direction of a gravitational acceleration and a direction of a detection axis of the sensor, and a drop determination unit that determines whether or not the sensor is dropped based on a representative value of accelerations in the direction of the detection axis detected by the sensor and a gravitational acceleration value in the direction of the detection axis specified based on the installation information.

Abstract: The present invention provides an elevator encoder diagnostic system and an elevator encoder diagnostic method by which input and output ports are kept from being occupied, functional restriction is suppressed, and abnormalities and malfunctions occurring in encoders provided in a dual-system can be detected. The elevator encoder diagnostic system according to the present invention includes a first encoder 16a and a second encoder 16b that are provided on a rotary portion of the elevator, a first diagnostic unit 21a connected to the first encoder, and a second diagnostic unit 21b connected to the second encoder, a first determination unit 23a and a second determination unit 23b that detect differences between encoder rotation amounts of the respective encoder systems and rotation detection signals of the other encoder systems, and, if a difference therebetween exceeds a predetermined threshold, determines that an abnormality has occurred.

Abstract: A synchronizing device includes: a machine data acquisition portion which acquires at least one type of machine data related to operation of a machine in a time series based on first time information; a measurement data acquisition portion which acquires at least one type of measurement data measuring the state of the machine in a time series based on second time information; a first extraction portion which extracts, from any of the machine data, a moment at which a feature set in advance indicating a predetermined event is expressed; a second extraction portion which extracts, from any of the measurement data, a moment at which a feature set in advance indicating the predetermined event is expressed; and an output portion which synchronizes a moment extracted by the first extraction portion and a moment extracted by the second extraction portion, and outputs the machine data and the measurement data.

Abstract: An arc fault detection method for a photovoltaic system based on an adaptive kernel function and instantaneous frequency estimation includes steps of: sampling signal xt in a time window length of TNCT and obtaining an iterative time-frequency diagram of xt by nonlinear chirplet transform; extracting detection variables based on frequency component in the selected iterative time-frequency diagram to determine a moment when spectrum energy increases; when the moment is found, obtaining a matrix distribution form of the xt in time-frequency domain obtained by the adaptive optimum kernel time-frequency representation, and processing the matrix with sum of squares in a time dimension to obtain a column vector; processing each selected frequency bands with integration operation in a frequency dimension to obtain multiple detection variable values as inputs of a well-trained Naive Bayes model.

Abstract: An improved analysis and determination of a relationship between a tone frequency and spurious frequencies is provided. A device under test is operated to generate signals based on multiple different tone frequencies. For each tone frequency a spectrum of the generated signal is measured and spurious frequencies in the generated signal are identified. Based on the measured spectrums a representation of the spurious frequencies versus the related tone frequencies is generated. Trajectories may be inserted into the representation for indicating relationships between the tone frequencies and the spurious frequencies. This representation provides a useful basis for a fast and reliable identification of relationships between spurious frequencies and tone frequencies.

Abstract: Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive a defined well design and the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of position in the subsurface volume of interest using the defined well design and visual effects; and display the representation.

Abstract: Methods, systems, and non-transitory computer readable medium are provided for correcting component failures in ion implant semiconductor manufacturing tool. A method includes receiving, from sensors associated with an ion implant tool, current sensor data corresponding to features; performing feature analysis to generate additional features for the current sensor data; providing the additional features as input to a trained machine learning model; obtaining one or more outputs from the trained machine learning model, where the one or more outputs are indicative of a level of confidence of a predicted window; predicting, based on the level of confidence of the predicted window, whether one or more components of the ion implant tool are within a pre-failure window; and responsive to predicting that the one or more components are within the pre-failure window, performing a corrective action associated with the ion implant tool.

Abstract: A method at a computing device, the method including obtaining sensor data for a vehicle providing vibration frequency and magnitude; calculating an energy for each of a low frequency passband and a high frequency passband of a bandpass filter pair; finding an energy ratio based on the energy for the low frequency passband and the energy for the high frequency passband; applying weighting constants to each of the energy for the low frequency passband, the energy for the high frequency passband and the energy ratio to calculate a decision variable; and finding that the vehicle is unloaded if the decision variable is below a threshold and finding that the vehicle is loaded if the decision variable is above a threshold.

Abstract: One embodiment relates to an apparatus, comprising logic, at least partially incorporated into hardware, to: receive first sensor data associated with a first sensor of a first smart device; determine a first reliability factor associated with the first sensor data; receive second sensor data associated with a second sensor of a second smart device; and determine a second reliability factor associated with the second sensor data. The logic is further to determine a sensor data reporting plan based upon the first reliability factor and the second reliability factor, the sensor data reporting plan indicating whether each of the first sensor and the second sensor are to subsequently send their respective sensor data to a primary communication device.