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.

Abstract: A bridge detecting vehicle with two foldable arms, including: a vehicle body, slewing mechanisms, horizontal and vertical arms and telescopic arms. One end of the two horizontal arms is respectively arranged on the slewing mechanisms, and the other end of the two horizontal arms is respectively connected to the two horizontal arms. A crossed arm is provided between the two horizontal arms. The two vertical arms are respectively connected to the two horizontal arms via ball joints. A detecting device is respectively provided at rear ends of the two telescopic arms.

Abstract: A method that determines a correct or an incorrect position of a temperature sensor in an emission control system, the method including: determining a first reference temperature within a first temperature interval; measuring a first temperature with the temperature sensor corresponding to the first temperature interval; determining a second reference temperature within a second temperature interval; measuring a second temperature with the temperature sensor corresponding to the second temperature interval; determining a value for a characteristic parameter based on the first reference temperature, the first measured temperature, the second reference temperature and the second measured temperature; comparing the determined value for the characteristic parameter with a predetermined characteristic parameter threshold value that is based upon the determined operation parameter results for different positions of the temperature sensor for predetermined engine operation characteristics; and based upon the compari

Abstract: A rotary encoder includes: a rotary disk with an angle code; a light source; a detector reading the angle code; and a processing unit acquiring a reading value. The light source includes at least two light-emitting elements spaced from each other. Every time the rotary disk is rotated by a predetermined angle, where an arbitrary angle from a rotation angle ? within a reading range on the detector is provided as ?, the processing unit acquires reading values fI(?+?) and fI(?) with a first light-emitting element and a reading value fII(?+?) with a second light-emitting element, to calculate a reading value error due to deflection at an angle ?+? based on the difference between the reading values fII(?+?) and fI(?+?), to obtain a difference gI(?,?) between the reading values fI(?+?) and fI(?) such that the error is reflected, and to self-calibrate based on a change in the difference gI(?,?).

Abstract: A system and method are disclosed for predicting, and optionally removing surface multiples from acquired seismic data that lacks surface consistency, such as seismic data acquired using an Ocean Bottom Cable (OBC) or Ocean Bottom Node (OBN) system where the sources are located at or near the water's surface and the receivers are located at or near the ocean's floor. By processing the acquired seismic data using seismic interferometry, source side and/or receiver side operators can be generated which satisfy the surface consistency requirement of techniques such as Surface Related Multiple Elimination (SRME) so that SRME or the like can be used to predict the surface multiples.

Abstract: To provide an observation apparatus, an observation method and an observation program capable of easily understandable output of a relation between a signal waveform representing an actually-observed operation of a machine and an instruction program to the machine. An observation apparatus includes an observation data acquisition unit for acquiring observation data on an operation status of a machine along with time information, an execution status acquisition unit for acquiring execution status data including an execution position and a specific parameter value for an instruction program to the machine, along with time information, and a display unit for displaying the observation data and the execution status data in association with each other in time series.

Abstract: An estimation method according to the present disclosure includes: extracting, from a plurality of calculated complex transfer functions, living body components respectively corresponding to N reception antenna elements and affected by a living body; calculating a correlation matrix based on the extracted living body components respectively corresponding to the N reception antenna elements; computing one or more eigenvalues of the calculated correlation matrix; estimating a credibility of an estimation result of estimating the position or the direction of a living body in a target space, using the one or more computed eigenvalues and living body count information indicating a value indicating a total number of living bodies in the target space; and estimating the position or the direction of the living body via a predetermined method, based on the correlation matrix, according to the credibility of the estimation result.

Abstract: A position determination device comprises data input circuitry configured to obtain magnetic field sensor data sensed by a magnetic field sensor, separation circuitry configured to separate the obtained magnetic sensor data into low frequency sensor data including frequencies below a frequency threshold and high frequency sensor data including frequencies above the frequency threshold, fingerprint combining circuitry configured to determine a combined magnetic fingerprint based on the low frequency sensor data and the high frequency sensor data, and position determination circuitry configured to determine the sensor position of the magnetic field sensor by comparing the combined magnetic fingerprint with a magnetic map.

Abstract: Systems and methods for interpreting multi-Z horizons from seismic data are disclosed. Seismic data is displayed via a graphical user interface (GUI) of an application executable at a user's computing device. User input is received via the GUI for picking surfaces of a multi-Z horizon within a current view of the displayed data. The user's input is tracked as it is received via the GUI over a series of input points within the current view of the displayed seismic data. Based on the tracking, each of a plurality of surfaces for the multi-Z horizon and at least one edge point between the picked surfaces within the current view of the seismic data are determined. The current view of the seismic data within the GUI is dynamically updated to include a visual indication of the plurality of surfaces and the at least one edge point for the multi-Z horizon.

Abstract: Systems and methods are described for identifying a behavior of a machine. A computer system receives a signal indicative of operation of a field machine and applies a deep learning algorithm to identify a pattern in a collection of signals stored on a computer-readable memory. The collection of signals includes the received signal indicative of operation of the field machine and other signals. A series of targeted tests are performed using a test machine while monitoring a signal indicative of operation of the test machine. A behavior is identified during the series of targeted tests that produces a signal that matches the pattern identified by the deep learning algorithm. An occurrence of the behavior is then automatically identified in the field machine in response to detecting the pattern in the received signal indicative of operation of the field machine.

Abstract: An apparatus and method for measuring a swimmer's speed and conveying the speed to the swimmer in real time includes a plurality of ultrasonic beacons each having a transducer configured to emit ultrasonic signals in a pool or other body of water within which the swimmer is swimming. A wearable, waterproof, ultrasonic receiver worn by the swimmer, receives the ultrasonic signals and generates corresponding signal data. The receiver's microcontroller captures and uses the signal data to calculate the swimmer's position and speed in real time, and conveys this information to a wearable, waterproof, user interface device worn by the swimmer, the user interface device including a near-eye display disposed on the swimmer's goggles.

Abstract: An embodiment of a semiconductor package apparatus may include technology to determine history information for a battery, predict a peak power capacity of the battery based on the history information, and set a peak power parameter based on the predicted peak power capacity.

Abstract: A method, apparatus, and program product may model a subsurface formation by computing an iso-surface for an iso-value from a three-dimensional stratigraphic function (436) for a volume of interest in the subsurface formation, computing first and second strike traces (454, 456) following a topography of the computed iso-surface on respective first and second sides of a fault (452) in the volume of interest, extracting seismic data (458, 460) along the first and second strike traces, correlating the extracted seismic data along the first and second strike traces, and computing a fault displacement vector (C) for the fault from the correlated extracted seismic data along the first and second strike traces.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring energy consumption. In one aspect, a method includes sending, to a power monitor of a circuit board, requests for power consumption data. The requests are sent periodically based on a reference clock that is located external to the circuit board and that is more accurate than a clock of the power monitor. Each request is for an accumulated amount of power for components of the circuit board. In response to each request, power consumption data is received from the power monitor. The power consumption data specifies the accumulated amount of power for the components of the circuit board since a previous request sent to the circuit board. An amount of energy consumed by the components of the circuit board over a time period is determined based on the received power measurements and the time period.

Abstract: A method for automatically detecting an abnormal process flow for a process in an industrial control system (ICS) comprises providing process flow (PF) strings that define normal PFs for processes in the ICS, each of the PF strings defining a time-ordered sequence of events that is a time-ordered recurring sequence of learned events associated with learned changes between learning values of parameters that affect an operation of the ICS, wherein a respective PF string of the PF strings includes an attributed process flow node that represents an attributed event and one or more attributes that are associated therewith. The method further comprises: obtaining monitoring values of the parameters, analyzing the monitoring values to detect monitored events that are associated with monitored changes between monitoring values of the parameters, and detecting the abnormal process flow upon determining a lack of conformance of a monitored event with one of the PF strings.

Abstract: According to an example, with respect to blast reconciliation for mines, pre blast measurement data and post blast measurement data associated with a blasting operation for a mining site may be ascertained from a pre and post blast measurer. A blast reconciliation model may be generated using existing pre blast measurement data and existing post blast measurement data, and used to analyze the ascertained pre blast measurement data and the ascertained post blast measurement data. Based on the analysis of the ascertained pre blast measurement data and the ascertained post blast measurement data, a blast material yield for the mining site may be determined as a result of the blasting operation. An alert indicative of the blast material yield may be generated.

Abstract: A frequency tracking system may use shaft speed and electrical frequency to estimate a frequency of a monitored machine. The frequency tracking system may convert shaft speed to a mechanical frequency and blend the electrical frequency and the mechanical frequency together to determine an estimated frequency. The frequency tracking system may blend the frequencies based on an operating state of the monitored machine and the frequency sensors.

Abstract: A method and an electronic device for detecting pedestrian stride length and walking path. A peak value of longitudinal acceleration data is detected. The longitudinal acceleration data between two adjacent peaks are integrated twice. A longitudinal displacement amplitude value is obtained based on the integration result. The stride length data is obtained based on the longitudinal displacement amplitude value, user's foot length and user's leg length. The method and the electronic device for detecting pedestrian stride length and walking path provided improves the positioning accuracy of the pedestrian and reduce the implementation cost.

Abstract: A method and a device for detecting the switching value of a pressure switch. The device comprises: a pressure generator in communication with a pressure switch by means of pressure piping, a pressure control element, a pressure sensor, and a controller provided with a data processing unit. The pressure sensor is installed on the pressure piping and is electrically connected to the controller. The pressure control element is electrically connected to the pressure generator to control the pressure generator, and is electrically connected to the controller. The pressure sensor transfers the pressure change of the pressure piping to the controller in real time, the data processing unit acquires the value of the pressure change and generates a control instruction according to a preset pressure change rule, and the pressure control element controls the pressure generator to change the pressure within the piping.

Abstract: One embodiment can provide a method and a system for diagnosing faults in a physical system. During operation, the system obtains a time-domain model of the physical system and converts the time-domain model to the frequency domain to obtain a frequency-domain model of the physical system. The time-domain model can include one or more model parameters having known values. The system also obtains time-domain input and output signals and converts the time-domain input and output signals to the frequency domain to obtain frequency-domain input and output signals. The system identifies at least one model parameter having an expected value that is different from a known value of the at least one model parameter based on the frequency-domain model and the frequency-domain input and output signals, and generates a diagnostic output indicating at least one component within the physical system being faulty based on the identified at least one model parameter.