Abstract: An electrically-driven vehicle includes a power storage device that stores power to be supplied to a motor, and a controller that controls output of the power storage device. The controller estimates a SOC of the power storage device. The controller detects output power of the power storage device and calculates an output power upper limit value of the power storage device by using the SOC when a voltage of the power storage device reaches a lower limit voltage during discharge of the power storage device. The controller stops the electrically-driven vehicle in the case where the detected output power is lower than the output power upper limit value.

Abstract: Example aspects of a nozzle cap for a fire hydrant and a method for manufacturing a nozzle cap to detect leaks in a fluid system are disclosed. The nozzle cap for a fire hydrant can comprise a cap body, the cap body comprising an inner housing and an outer housing, the outer housing defining a cavity; a vibration sensor received within the cavity and configured to detect leaks in a fluid system connected to the fire hydrant; and a metal insert contacting the vibration sensor and the inner housing.

Abstract: A battery management system is provided. According to an embodiment of the present disclosure, the battery management system for managing a battery pack including a plurality of battery modules may include a plurality of individual battery management units respectively corresponding to the plurality of battery modules and a management module configured to integrally manage the plurality of individual battery management units, wherein each of the individual battery management units includes a state-of-health (SOH) calculator to calculate SOH of each of the plurality of battery modules and a state-of-charge (SOC) calculator to calculate SOC of each of the plurality of battery modules, the management module manages a performance state of all of the plurality of battery modules on the basis of the SOH and SOC of each battery module and the SOC of each battery module is corrected by the SOH of each battery module.

Abstract: A control system (15) controls a water supply from at least two separate input lines (3i-k) into a sector (1) of a water supply network. The control system (15) is configured to receive input flow information indicative of the water input flow (qi-k) through each of the input lines (3i-k). The control system (15) is configured to receive input pressure information indicative of the input pressure (pi) in at least one (3i) of the input lines (3i-k). The control system (15) is configured to receive pressure information indicative of at least one pressure value (pcri,m,n) determined by a pressure sensor (7m,n) within the sector (1). The control system (15) is configured to control the input pressure (pi) by controlling at least a pressure regulating system (13i) at an input line (3i) based on the input flow information from all input lines (3i-k) and based on the sector pressure information.

Abstract: A method for determining a measurement signal based on a sensor output electrical signal. The electrical signal based on the measured quantity conversion of the electrical signal into a measurement signal. Determining the measurement signal for least two pairs of values by converting the electrical signal into a measurement signal for at least two predetermined electrical signal values, each pair of values including the electrical signal and measurement signal. A mathematical function allowing a measurement signal to be obtained based on the electrical signal is determined based on the pairs of values. The measurement signal being substantially equal to the measurement signal obtained by applying the sensor conversion to the same sensor electrical signal. At least two measurement signals are determined without sensor conversion. Acquisition of the two measurement signals separated by a time shorter than the time to convert an electrical signal into a measurement signal by sensor conversion.

Abstract: Enhanced seismic velocity models are generated using a geomechanical model. A tomographic velocity model is generated based on raw seismic data. One or more initial seismic images are generated based at least partially on the tomographic velocity model. Geomechanical data and the initial seismic images are used to generate a geomechanical model. The geomechanical model produces geomechanical outputs that are used to generate a geomechanical velocity model. A second tomographic velocity model is generated based on the first tomographic velocity model and the geomechanical velocity model.

Abstract: A method for correcting physical positions of seismic sensors and/or seismic sources for a seismic data acquisition system.

Abstract: A method and apparatus for automatically determining a characteristic of a crop using an unmanned aerial vehicle (UAV) includes operating the UAV at an elevation above a ground surface of a field and collecting first data that indicates an elevation of the UAV with a barometric pressure based altimeter of the UAV. Second data is collected with a SONAR sensor of the UAV that indicates a distance to a nearest object on the ground surface. The SONAR sensor has a SONAR sensor range and the elevation above the ground surface is less than the SONAR sensor range. The method further includes receiving the first data and the second data on a processor, and determining a height of the nearest object above the ground surface with the processor based on the first data and second data. Output data that indicates the height of the nearest object is presented on a display.

Abstract: A data processing device includes a peak detector that detects a peak from a frequency spectrum and a map generator that generates an abnormality map for the frequency spectrum. The abnormality map includes as abnormal components, a frequency of a detected peak of interest and a frequency of a peak that appears together with the peak of interest when the peak of interest is assumed as the peak originating from abnormality. The data processing device includes an abnormal peak extractor that extracts as an abnormal peak, a peak at a frequency that matches with any of the abnormal components included in the abnormality map and a first criterion value calculator that calculates a first criterion value representing occurrence of abnormality corresponding to the abnormality map based on a spectral density of the abnormal peak.

Abstract: Some embodiments are directed to a monitoring system for monitoring a supercomputer architecture including a plurality of devices, including an events analysis module adapted for the reception of an event relating to probes associated with these devices and for the determination of items of information on at least one device as a function of data contained in the event; an information aggregation module adapted to determine second items of information on the basis of these items of information, and as a function of data on the topology of the architecture of the supercomputer; and an information transmission module, adapted for the transmission of the second items of information to at least one supervision data viewing tool.

Abstract: A battery management system is provided. According to an embodiment of the present disclosure, the battery management system for managing a battery pack including a plurality of battery modules may include a plurality of individual battery management units respectively corresponding to the plurality of battery modules and a management module configured to integrally manage the plurality of individual battery management units, wherein each of the individual battery management units includes a state-of-health (SOH) calculator to calculate SOH of each of the plurality of battery modules and a state-of-charge (SOC) calculator to calculate SOC of each of the plurality of battery modules, the management module manages a performance state of all of the plurality of battery modules on the basis of the SOH and SOC of each battery module and the SOC of each battery module is corrected by the SOH of each battery module.

Abstract: A measurement system has an analog channel comprising an analog-to-digital converter for converting an external analog input signal into a corresponding digital input signal, an external trigger input for receiving an external trigger signal comprising a comparator configured to compare the external trigger signal against a trigger threshold signal for generating a binary trigger signal, and a digital signal processing unit. The digital signal processing unit comprises a digital trigger unit configured to receive the digital input signal and to generate at least one trigger event signal based on the digital input signal, and a trigger logic unit configured to receive the at least one trigger event signal and the binary trigger signal to generate a combined trigger signal. Further, a method for generating a trigger signal for a measurement system is described.

Abstract: A positioning system includes: a gyro sensor configured to detect an angular velocity of a moving body; a geomagnetic sensor configured to detect a direction in which the moving body is placed; an acceleration sensor configured to detect an acceleration of the moving body; and a gyro sensor output correction part configured to correct an output of the gyro sensor, wherein the gyro sensor output correction part is configured to convert output components of the gyro sensor into at least one of a rotation matrix and a quaternion based on output components of the geomagnetic sensor and output components of the acceleration sensor, and to calculate a posture of the moving body based on the rotation matrix or the quaternion.

Abstract: A work cycle detection and control system includes an angle detector that detects an angular position of an implement, operably coupled to a mobile machine, relative to a base of the mobile machine. The system also includes a range detector that detects a degree range of rotation, about the base, in which the angular position of the implement is located. Work cycle logic identifies a particular work cycle, from a plurality of different work cycles, that the mobile machine is performing, based on the degree range. An action signal generator generates an action signal, based on the particular work cycle.

Abstract: A GIL fault on-line monitoring system based on vibration signals and support vector machine, via a monitoring device mounting on the outer surface of the CIL channel, monitors the vibration signals generated on the tube wall during the power transmission process, and perform fault diagnosis through comparison. For example, when the abnormal vibration signals appear near a certain post insulators, then it can be determined that the corresponding location is experiencing a fault. The system is capable of operating without powering off the GIL or disassembling the GIL, thus it is an economic, convenient and effective troubleshooting method with high implementation feasibility. The system can monitor the operation state of the GIL in real time and send information to a monitoring station through a wireless device, and thus guarantees the stable operation of the GIL.

Abstract: A process for seismic imaging of a subterranean geological formation includes generating a source wavefield from seismic data representing a subterranean formation. The process includes generating a receiver wavefield from the seismic data representing the subterranean formation. The process includes decomposing the source wavefield to extract a source depth component and decomposing the receiver wavefield to extract a receiver depth component. The process includes applying a transform to each of the source depth component and the receiver depth component. The process includes combining the source depth component and the receiver depth component to generate an imaging condition. The process includes extracting a low-frequency term from the imaging condition to generate a wave-path tracking data, generating a wave path from the wave-path tracking data, and rendering a seismic image of at least a portion of the subterranean geological formation from the generated wave path.

Abstract: Systems and methods for determining performance properties of an unknown composition are disclosed. The performance properties can include a Research Octane Number (RON), a Motor Octane Number (MON), and/or a cetane number. The systems and methods include utilizing an optical spectrum of an unknown composition to determine a model of composition, where the model of composition includes a molecular identity and a relative abundance for components therein. The model of composition is then utilized to calculate one or more performance properties. Additionally, the fit quality for the model of composition is determined by performing a partial least squares analysis on specific spectral regions of interest in the optical spectra of the unknown composition.

Abstract: Earthquake detector is a solid-state device that detects the motion of a building or structure and initiates an alarm when the motion of a building or structure rises above a certain base level or threshold level of motion that is automatically calibrated or manually entered for the specific building or structure and the specific location of the building or structure. Earthquake detector measures the amplitude of movement and the magnitude of acceleration of the actual building or structure caused by a seismic event, earthquake, or other external force because this is the primary cause of damage to the building or structure and the associated potential for collapse of the building or structure. Earthquake detector has a circuit board; a microprocessor, integrated circuit, or chip; an accelerometer integrated circuit or chip; an alarm module; a connection to a power source; and a calibration control.

Abstract: The present disclosure provides substantially magnetometer-free systems and methods for motion capture of a subject including 3-D localization and posture tracking by fusing inertial sensors with a localization system and a biomechanical model of the subject. Using the novel Kalman filter based fusion techniques disclosed herein, the localization data aided with the biomechanical model can eliminate the drift in inertial yaw angle estimation.

Abstract: Methods for full waveform inversion (FWI) in the midpoint-offset domain include using a computer system to sort seismic traces into common midpoint-offset bins (XYO bins). For each XYO bin, a linear moveout correction is applied to a collection of seismic traces within the XYO bin. The collection of seismic traces is stacked to form a pilot trace. The computer system determines a surface-consistent residual static correction for each seismic trace. The computer system determines that the surface-consistent residual static correction for each seismic trace is less than a threshold. Responsive to the determining that the surface-consistent residual static correction is less than the threshold, the computer system stacks the collection of seismic traces to provide the pilot trace. The computer system groups the pilot traces for the XYO bins into a set of virtual shot gathers. The computer system performs one-dimensional FWI based on each virtual shot gather.