Abstract: A method of geosteering in a wellbore construction process uses an earth model that defines boundaries between formation layers and petrophysical properties of the formation layers in a subterranean formation. Sensor measurements related to the wellbore construction process are inputted to the earth model. An estimate is obtained for a relative geometrical and geological placement of the well path with respect to a geological objective using a trained stochastic clustering and pattern matching agent. An output action based on the sensor measurement for influencing a future profile of the well path with respect to the estimate.

Abstract: The present invention addresses the problem of providing a determining device that can improve the precision of determination as to the presence or absence of an abnormality as indicated by an output value. In order to solve this problem, a determining device according to the present invention includes a deriving means, a determining means, and an output means. The deriving means derives a degree value from an output value output from a sensor, the degree value indicating a degree of temporal variation in the output value. The determining means derives a third determination result relating to a first output value, which is the abovementioned output value, from a first determination result and a second determination result. Here, the first determination result is a determination result about the magnitude of the first output value relating to a first time, associated with the time when the sensor outputted the first output value.

Abstract: Methods, systems, and computer program products use current leakage rates to evaluate the resistivity of a subterranean formation around a drilling well in conjunction with a ranging operation. The evaluation entails obtaining a current distribution along a section of the drilling well as part of a ranging measurement. The current distribution allows the current leakage rate to be determined along that section of the drilling well. Multiple current leakage rates may then be determined along the drilling well to produce a leakage rate curve that may be matched with modeled or known leakage rate curves to estimate the formation resistivity around the drilling well. Formation resistivity may also be calculated from the current distribution using an appropriate equation. The ability to obtain a current distribution along a section of the drilling well as part of a ranging measurement allows formation resistivity to be evaluated in conjunction with ranging operations.

Abstract: A method for detecting an object in a housing, includes: determining a first scene inside the housing using a time of flight sensor, wherein the housing is empty during determination of the first scene; determining, by a processor, a second scene inside the housing using the time of flight sensor; comparing, by the processor, the first scene with the second scene; and determining, by the processor, a presence or an absence of the object in the housing based on a result of comparing the first scene with the second scene.

Abstract: A machine learning device included in a life predicting device observes, as a state variable, life related data related to a life of a consumable component, creates a probability model of a service life for replacement of the consumable component on the basis of the life related data, and predicts, using the created probability model, the service life for replacement of the consumable component based on the life related data.

Abstract: Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.

Abstract: A sensor service prediction system and method are provided for a sensor. The system monitors sensor operations of the sensor, and provides a calendar age odometer which increments a calendar age of the sensor by a first time interval as the sensor operates. The system further provides an accelerated age odometer which increments an accelerated age of the sensor by a second time interval according to the increment of the calendar age and a sensor temperature or other measurable environmental condition associated therewith. The system obtains a value of a sensor property at different calendar ages or accelerated ages of the sensor over time, and predicts and outputs when the sensor property of the sensor is anticipated to reach a sensor property threshold based on the values of the sensor property in relations to the accelerated age.

Abstract: An apparatus for sensing a rotating body includes a unit to be detected, including a first pattern portion having at least one first pattern and a second pattern portion having at least one second pattern, and configured to rotate around a rotating shaft, a sensor module comprising a first sensor disposed opposite to the first pattern portion and a second sensor disposed opposite to the second pattern portion, and a rotation information calculator configured to calculate a difference value by differentiating output signals of the first sensor and the second sensor, and to compare comparison values, determined according to a target sensing angle and a size of the first pattern and the second pattern, with the difference value.

Abstract: Computerized method and system for estimating a rain attribute on microwave communications, the estimation being carried out by: obtaining quantized minimum and maximum levels of received signals and transmitted signals over a microwave link during a period; subtracting the quantized maximum level of received signals from the quantized minimum level of transmitted signals to provide a minimal attenuation value; subtracting the quantized minimal level of received signals from the quantized maximal level of transmitted signals to provide a maximal attenuation value; calculating an attenuation difference related to the period by subtracting the minimal attenuation value from the maximal attenuation value; calculating a bias compensated attenuation difference based on the attenuation difference, and bias value related to the microwave link; and calculating the rain attribute, including the average rain during the period, based on the bias compensated attenuation difference.

Abstract: An automated test equipment for testing devices under test is configured to combine different output signals from multiple pins of a single device under test or from pins of a plurality of devices under test to obtain a combined signal; and to extract individual signals or properties of the individual signals from the combined signal.

Abstract: An attitude measurement method, which relates to the technical field of measurement while drilling in directional drilling, which can improve the observability of inertial instrument errors, suppress the repeatability errors of gyroscopes and improve the attitude measurement accuracy.

Abstract: Example embodiments are described for a method and system for logging data processing in determining permeability anisotropy effects. A permeability anisotropy model is used to derive a relationship between formation permeability anisotropy and resistivity anisotropy in both TI and BA formations. Implementations can provide the permeability anisotropy plus the true reservoir (or sand) permeability by using an integrated interpretation of the MCI resistivity anisotropy measurements with conventional permeability logs from other sensors (e.g., NMR or sonic). Biaxial and triaxial permeability components of the permeability anisotropy tensor can be determined for application to synthetic and field log interpretations.

Abstract: A method for producing sensor information depends on a rotational speed, using a rotational speed sensor which is adapted to output rotational speed pulses in predetermined angular positions of a physical sensor field that rotates at the rotational speed. In order to increase resolution, a digital angle signal each is determined between the pulses. A defined number of most significant bits of said angle information is output to determine the rotational speed so that the interval between two pulses is subdivided into a defined number of subintervals. An angle value which can be unambiguously interpreted by means of the sinusoidal signal can be determined from the cosine signal by using two phase shift sinusoidal signals and an arccos function. The device optionally outputs the angle signal below a threshold value and an impulse signal above the threshold value to determine speed.

Abstract: This abnormality diagnosis system for diagnosing abnormalities in a plant is provided with: an abnormality diagnosis control unit which, with respect to an instrument parameter measured in a plant determined to have an indication of abnormality, predicts the development of the instrument parameter by extrapolation, and which generates an abnormality manifestation pattern that is a pattern of behavior of the instrument parameter after prediction; and a data storage unit which stores a plurality of abnormality model patterns PA, PB that are patterns of behavior of the instrument parameters corresponding to causes CA1, CA2, CB1, CB2 of plant abnormality. The abnormality diagnosis control unit makes a matching determination between the abnormality manifestation pattern that has been generated and the plurality of abnormality model patterns PA, PB stored in the data storage unit, and identifies, as the cause of the abnormality in the abnormality manifestation pattern.

Abstract: A system for providing a visual summary of a condition of a patient when traumatic brain injury (TBI) is suspected or diagnosed includes at least one patient condition sensor configured to sense data representative of a patient condition parameter of interest for a TBI patient; at least one airflow sensor configured to sense data representative of ventilations provided to the patient; at least one visual display for providing the visual summary to a user; and at least one controller. The at least one controller is configured to cause the visual display to provide the visual summary. The visual summary can include at least one visual representation of at least one patient condition parameter for each time interval of a plurality of time intervals, at least one visual representation of ventilation information, and a visual indication of when at least one patient condition parameter is outside of a target range.

Abstract: A temperature estimating apparatus is provided with: a deriving device configured to derive a slope function, on the basis of a value of a complex impedance of a battery at a predetermined frequency out of values obtained at a plurality of different temperatures and on the basis of a temperature of the battery when the complex impedance is obtained, wherein the slope function indicates a relation between the value of the complex impedance at the predetermined frequency and an inverse of the temperature of the battery; and an estimator configured (i) to measure a value of the complex impedance at the predetermined frequency and (ii) to substitute the measured value of the complex impedance at the predetermined frequency into the slope function, thereby estimating a temperature of the battery when the value of the complex impedance is measured.

Abstract: A multilevel triggering system includes a trigger block library configured to store multiple triggering function modules for performing triggering functions to detect corresponding triggering conditions, respectively; and a triggering matrix including multiple triggering levels, each triggering level being configurable to include one or more trigger blocks and each trigger block being configurable to implement a triggering function module of the multiple triggering function modules, each trigger block generating a corresponding block trigger when the corresponding triggering condition of the triggering function module implemented by the trigger block is detected in a portion of an input signal. Each triggering level is configured to generate a corresponding level trigger when each of the one or more trigger blocks in the triggering level generates the corresponding block trigger.

Abstract: Provided is a method of creating a longitudinal section along an arbitrary line from three-dimensional point group data of terrain or a structure, and a survey data processing device and a survey system for the same. The method includes (a): setting an arbitrary longitudinal section creation line by sequentially designating a plurality of interval designation points on an X-Y plane of three-dimensional point group data (X, Y, Z), (b): projecting a Z point surveyed between a start point and an end point of a certain interval among a plurality of intervals defined by the interval designation points, onto a vertical virtual plane including the longitudinal section creation line, corresponding to (X, Y) coordinates of the longitudinal section creation line, and (c): performing the step (b) for all of the intervals.

Abstract: A method of estimating an attitude of a control device for controlling operating machines, where the control device has a plurality of pushbuttons for controlling the movement of an operating machine along respective directions, the method having the following steps: —preliminary estimating the attitude of the control device using data from an accelerometer and a magnetometer onboard of the control device; —updating of the preliminary estimate of the attitude of the control device using data from a gyroscope onboard of the control device.

Abstract: Methods may include normalizing two or more wellbore logs obtained from the output of two or more wellbore tool surveys of a wellbore in a formation of interest; inputting two or more wellbore logs into a correlation matrix; assigning each of the two or more wellbore logs a positive or negative value based on the impact on a selected wellbore quality; performing a principal component analysis of the two or more wellbore logs to obtain one or more loading vectors; computing weighting factors for each of the two or more wellbore logs from the one or more loading vectors; and generating a quality index by linearly combining the two or more wellbore logs using the computed weighting factors.