Abstract: A method and apparatus for identifying non-elastic indicators for a subsurface region, the method including obtaining seismic data for the subsurface region; generating a best-fit elastic model from the seismic data; and identifying non-elastic indicators from the seismic data and the best-fit elastic model. The method and apparatus may also include estimating reservoir flow properties from the non-elastic indicators based on a poroelastic interpretation of the seismic response.

Abstract: To improve determination accuracy of determining whether a user is present in a house. A presence-in-house determination system 1 includes: a first presence-in-house determination unit 111 configured to determine whether the user is present in the house based on a change over time in electric power consumption of the house of the user; second presence-in-house determination units 112A and 112B configured to determine whether the user is present in the house based on an operation state of at least one of electric appliances 20A and 20B provided in the house; and a comprehensive determination unit 114 configured to determine whether the user is present in the house based on a determination result of the first presence-in-house determination unit and a determination result of the second presence-in-house determination unit.

Abstract: A method for evaluating discrete measurement data sequences of an ultrasonic flow measuring device having a recording frequency and ultrasound signal, includes determining time position or height of a maximum of a sinusoidal profile of a time sequence of evaluation values, determined as part of a measurement data sequence or cross-correlation of two sequences recorded at different positions of the device by determining a maximum evaluation value of the time sequence and evaluation values thereof adjacent thereto. Initial values, including an initial maximum value and time, are determined by quadratic fit of evaluation values. Output values including output time describing the position or output height describing the height of the maximum are determined by a determination relationship setting output values in relation with initial values and a calculation quantity formed from selected evaluation values for known recording frequency and known signal frequency and based on a known sinusoidal profile.

Abstract: The calculation of the variance of a correlation coefficient matrix for a photovoltaic fleet can be completed in linear space as a function of decreasing distance between pairs of photovoltaic plant locations. When obtaining irradiance data from a satellite imagery source, irradiance statistics must first be converted from irradiance statistics for an area into irradiance statistics for an average point within a pixel in the satellite imagery. The average point statistics are then averaged across all satellite pixels to determine the average across the whole photovoltaic fleet region. Where pairs of photovoltaic systems are located too far away from each other to be statistically correlated, the correlation coefficients in the matrix for that pair of photovoltaic systems are effectively zero. Consequently, the double summation portion of the calculation can be simplified to eliminate zero values based on distance between photovoltaic plant locations, substantially decreasing the size of the problem space.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learning estimation networks in a communications system. One of the methods includes: processing first information with ground truth information to generate a first RF signal by altering the first information by channel impairment having at least one channel effect, using a receiver to process the first RF signal to generate second information, training a machine-learning estimation network based on a network architecture, the second information, and the ground truth information, receiving by the receiver a second RF signal transmitted through a communication channel including the at least one channel effect, inferring by the trained estimation network the receiver to estimate an offset of the second RF signal caused by the at least one channel effect, and correcting the offset of the RF signal with the estimated offset to obtain a recovered RF signal.

Abstract: The present application includes a computer-implemented method for detecting a tamper event. The method includes a step of receiving, from one or more sensors on an integrated module, data indicating one or more of light, acceleration, magnetic field, rotation, temperature, pressure, humidity, and audio. The method also includes a step of transmitting, to a microcontroller/evaluation engine coupled to the integrated module, the received data from the one or more sensors. The method further includes a step of determining, via the microcontroller, the received data exceeding one or more configurable thresholds of the tamper event. The method even further includes a step of assigning, via the microcontroller, a score associated with each of the one or more configurable thresholds being exceeded by the received data. The method yet even further includes a step of collecting, via the microcontroller, an aggregate total based on the assigning step.

Abstract: Disclosed is a method of location identification using a single beacon. The method comprises determining a first distance between a beacon and a first sensor, where the first sensor is embedded in a mobile device. It also includes determining a second distance between the beacon and a second sensor, where the second sensor is embedded in the mobile device. The method also includes defining a vector, where the vector has a magnitude equal to the distance between the first and second sensor, and a direction pointing from the first sensor to the second sensor. The method further includes calculating a plurality of potential locations. The method then determines the actual location.

Abstract: Disclosed is a flow rate controller in which a clear width (6) of a control gap (4) between a main part (3) and a control element (2), which is deformable according to the pressure in order for the flow rate through the control gap (4) to be kept constant, can be adjusted as a result of the fact that at least one supporting element that adjusts the clear width (6) of the control gap (4) is designed to be movable relative to a main part (3).

Abstract: An apparatus for autonomous vehicles includes a perception pipeline having independent classification processes operating in parallel to respectively identify objects based on sensor data flows from multiple ones of a plurality of sensors. The apparatus also includes a sensor monitoring stage to operate in parallel with the perception pipeline and to use the sensor data flows to estimate and track a confidence level of each of the plurality of different sensors, and nullify a deficient sensor when the confidence level associated with the deficient sensor fails to meet a confidence threshold.

Abstract: The present invention relates to an apparatus and method for detecting an earthquake using an accelerometer. More particularly, the present invention relates to an apparatus and method for detecting an earthquake using an accelerometer, the apparatus and method being capable of improving reliability of acceleration data obtained from the accelerometer and reliably determining whether an earthquake has occurred on the basis of a change between current acceleration data and previous acceleration data.

Abstract: State estimation in an electric power system includes acquiring electrical measurements from the electric power system at a reporting rate of the electrical measurements, processing the electrical measurements into sequence data including positive sequence data, processing positive sequence data by an observable state estimator to generate a plurality of estimated states including a plurality of estimated observable states, parameters of the observable state estimator being updated by a first training module in a first time thread, processing the plurality of estimated states by an unobservable state estimator to generate a plurality of estimated unobservable states, parameters of the unobservable state estimator being updated by a second training module in a second time thread independent of the first time thread, and outputting a plurality of final estimated states generated by concatenating the plurality of estimated observable states and the plurality of estimated unobservable states.

Abstract: Methods and systems for adaptively configuring a tire mounted sensor (TMS) with vehicle-provided parameters are disclosed. A vehicle control unit obtains data from vehicle sensors and other sources and transmits configuration parameters to the TMS. The TMS signal processing components are configured according to the configuration parameter to minimize the number of tire rotations needed to generate an accelerometric profile and extract a tire feature. The extracted feature is transmitted back to the vehicle control unit with the aim of minimizing the computational resources and battery consumption of the TMS.

Abstract: A rotation speed sensor, configured to detect a rotation speed of a rotating body, is composed of a cable composed of an electric wire including a conductor wire, and a sheath provided over the electric wire, a circuit substrate mounted with an integrated circuit thereon and connected to the conductor wire being exposed from the cable, and a housing including a first housing, which is configured to hold the circuit substrate therein, and a second housing, which is configured to hold the cable therein, with the first housing being welded to the second housing, and with the second housing being welded to a surface of the sheath of the cable.

Abstract: A server includes a processor to supply a torque command to an amplifier that controls a motor that drives a linkage; include, in the torque command, an alternating signal wave that is to test a frequency response of the motor and the linkage; receive, from the amplifier, an instantaneous torque value of the motor and an instantaneous mechanical parameter value of the linkage at each time step according to a sampling rate and over a period of time; store an aggregate of both these values; determine, for a first frequency of the alternating signal wave, a magnitude and phase shift between the aggregate of the instantaneous mechanical parameter values and the aggregate of the instantaneous torque values; and generate, using an aggregate of magnitude and phase shift data for multiple frequencies of the alternating signal wave, a fingerprint to be used in performing diagnostics of motor and linkage.

Abstract: Systems and methods of surface steering control of drilling may be used together with systems and methods for planning one or more wells before drilling, planning a well path during drilling and/or updating that well plan and/or other well plans during the drilling of a well. The methods and systems may include planning a field, comprising a plurality of wells to be drilled and/or a plurality of pads from which a plurality of wells are to be drilled, planning a pad from which a plurality of wells are to be drilled, and planning a well both before and during drilling of the well.

Abstract: Disclosed herein is a velocity measuring device to be used in a moving frame to determine the velocity of the moving frame. At least one beam of light is emitted from a site in the moving frame and travels to a mirror disposed in the moving frame and back to the site at which the emission occurred, after which the beam is detected by a detector. By measuring the round trip time of the light beam from emission to detection, a factor gamma can be determined from which the velocity of the moving frame can be computed.

Abstract: A structure of a speed sensor arrangement of a vehicle is provided. The vehicle includes a power unit. The power unit is connected with a transmission system. The transmission system is formed with a sensing space. The sensing space is provided therein with a speed sensor. As such, the speed sensor is arranged in a completely concealed space to prevent the speed sensor from being hit by external sand and stones or corroded by external dust or moisture.

Abstract: To provide an observation apparatus, an observation method, and an observation program capable of presenting a point of interest for finding a wasteful waiting time of a machine. The observation apparatus includes an observation data acquisition unit configured to acquire observation data on an operation status of a machine along with time information, an extraction unit configured to extract, on the basis of a first condition relating to the observation data, a time range of the observation data corresponding to an operation of the machine, the operation having a possibility of generating a waiting time, and an output unit configured to output information on the extracted time range.

Abstract: According to the invention, a method and system are provided for scanning, and for facilitating scanning of, an intraoral cavity. The target parts of the intraoral cavity that it is desired to have scanned are identified, and the spatial s relationships between a scanning device and the target parts of the intraoral cavity suitable for enabling said target parts to be scanned by said scanning device, are also identified or otherwise determined. These relationships are then displayed, and the displayed relationships are used as a guide for scanning the intraoral cavity.

Abstract: A road condition status prediction method is performed by a server and includes obtaining historical road segment information, the historical road segment information including road condition statuses and classification events that are used to classify the road condition statuses, and the classification events being determined based on content of the classification events, and obtaining an occurrence probability of each of the classification events, based on the obtained historical road segment information. The road condition status prediction method further includes obtaining a conditional probability of each of the classification events in each of the road condition statuses, based on the obtained historical road segment information, and predicting a road condition status of a road segment, based on the obtained occurrence probability of each of the classification events and the obtained conditional probability of each of the classification events in each of the road condition statuses.