Abstract: Various embodiments of a technique to estimate and monitor a self-discharge rate for use as a measure of battery health are described herein. In some embodiments, the technique includes a system including a processor and a memory coupled with the processor. The memory is configured to provide the processor with instructions that when executed cause the processor to receive a plurality of snapshots obtained by monitoring a battery system in a quiescent state at a plurality of times. Each snapshot includes a plurality of cell state values at one of the plurality of times. The memory is further configured to provide the processor with instructions that when executed cause the processor to estimate a self-discharge indicator using at least one snapshot in the plurality of snapshots, compare the self-discharge indicator to a threshold, and recommend a remedy for the battery system in response to the self-discharge indicator exceeding the threshold.

Abstract: The disclosed embodiments include leak detection systems and methods of downhole leak detection. In one embodiment, the method includes obtaining physical signals detected by a physical sensor over a period of time while the physical sensor is traveling along a wellbore, wherein the physical signals are acoustic signals of a leak. The method also includes performing a sequence extraction operation on the physical signals of the physical sensor to obtain a plurality of virtual signals associated with an array of virtual sensors, wherein each virtual sensor of the array of virtual sensors is located at a respective virtual distance relative to the physical sensor. The method further includes determining a signal strength of the plurality of virtual signals. The method further includes determining a location of the leak based on the signal strength of the plurality of virtual signals.

Abstract: Disclosed are systems and methods for high precision acoustic logging processing for compressional and shear slowness. The method comprises measuring, by a sonic logging tool, sonic data associated with a formation within a borehole, attempting a detection of a first arrival within the sonic data determining whether the attempted detection of the first arrival is accurate, and in response to an accurate detection of the first arrival determining a travel time of the first arrival, generating a coherence map including the first arrival, and determining, based on the coherence map, a characteristic of the formation.

Abstract: A surveillance platform for the sensing, measuring, monitoring and controlling equipment and environments, such as food storage and retailing environments, data center environments, and other environments in which equipment performance, operating status, and environmental condition monitoring is desirable, is provided. The surveillance platform can facilitate reporting, visualizing, acknowledging, analyzing, calculating, event generating, notifying, trending, and tracking, of operational events occurring within the environment. Such techniques can be used to protect articles such as food articles, medical articles, computing devices and equipment, artifacts, documents, and the like.

Abstract: There is an oil and gas zone effectiveness evaluation method. The oil and gas zone effectiveness evaluation method has the steps of: obtaining a controlling factor parameter distribution of a target interval; obtaining an evaluation parameter lower limit value of an industrial oil and gas reservoir; obtaining an accumulation parameter value of each grid coordinate point according to the controlling factor parameter distribution; obtaining an evaluation parameter processing value of each grid coordinate point according to the evaluation parameter, the evaluation parameter lower limit value and the accumulation parameter value of the grid coordinate point; and obtaining a zone evaluation value of the target interval according to the evaluation parameter processing value of the grid coordinate point. There also is an apparatus that is capable of improving the evaluation coincidence rate.

Abstract: A data processing apparatus is provided that includes monitor circuitry to produce local trace data indicating behaviour of the data processing apparatus. Interface circuitry communicates with a second data processing apparatus and encoding circuitry produces an encoded instruction to cause the local trace data to be stored in storage circuitry of the second data processing apparatus or to be output at output circuitry of the second data processing apparatus. The interface circuitry transmits the encoded instruction to the second data processing apparatus.

Abstract: A sampling oscilloscope includes a trigger generation circuit that includes a direct digital synthesizer (DDS) that outputs a trigger clock input in an operable frequency range at an arbitrary output frequency, a band pass filter (BPF) that limits a pass band of the trigger clock output from the direct digital synthesizer and a variable frequency divider that divides a frequency of the trigger clock of which the pass band is limited by the band pass filter, and generates a strobe signal of a frequency at which a sampler can be operated. The sampling oscilloscope includes a controller that calculates a phase shift amount with reference to a pattern cycle of data generated by a one-time strobe signal and adjusts a phase by changing a count value of a phase accumulator of the direct digital synthesizer so that the calculated phase shift amount is eliminated.

Abstract: Disclosed herein is a formation evaluation method including estimating a total porosity of an earth formation as a function of bulk density and total nuclear magnetic resonance (NMR) porosity of the earth formation. The total porosity of the earth formation as estimated underrepresents bitumen content. A gas filled porosity of the earth formation is estimated as a function of the bulk density and the total NMR porosity. A kerogen volume of the earth formation is estimated as a function of the gas filled porosity and a total organic carbon content of the earth formation. A bitumen filled total porosity is determined as a function of the estimated kerogen volume and the estimated total porosity of the earth formation. A corrected kerogen volume of the earth formation is determined as a function of the estimated kerogen volume and the estimated total porosity of the earth formation.

Abstract: A method for presenting operational information of a mobile platform includes collecting diagnostic data and travel route data associated with an operation of the mobile platform, and integrating the travel route data with the diagnostic data for presentation. The diagnostic data includes at least one of platform diagnostic data or remote control data. The remote control data is generated by a remote controller associated with the mobile platform or generated by a computer device.

Abstract: Computing device, computer instructions and method for removing cross-talk noise from seismic data and generating an image of a surveyed subsurface. The method includes receiving input seismic data D generated by firing one or more seismic sources so that source energy is overlapping, and the input seismic data D is recorded with seismic sensors over the subsurface; generating a cross-talk noise model N by replacing at least one original shot gather with a reconstructed shot gather; subtracting the cross-talk noise model N from the input seismic data D to attenuate coherent cross-talk noise to obtain processed seismic data Dp; deblending the processed seismic data Dp with a deblending algorithm to attenuate a residual noise to obtain deblended seismic data Dd; and generating the image of the subsurface based on the deblended seismic data Dd.

Abstract: A system and method for encapsulating commercially significant attributes of a hydrocarbon product into a single digital signature are presented. The digital signature may be generated from a physical product sample using optical techniques such as NIR spectroscopy. Digital signatures may be expressed in the form of composition, principle components derived from the spectra, or other properties derived from the original spectra which characterize, and help visualize, the variation present within the signals. Other physical property measurements and contaminant measurements may also be included in the digital signature and may be derived from the same measurement device or separate measurement devices whose output is integrated into a single digital signature. Embodiments of the invention may be used to confirm the identity of a hydrocarbon product, or to verify the composition of a hydrocarbon product.

Abstract: Disclosed herein are systems, devices, and methods related to assets and asset operating conditions. In particular, examples involve determining health metrics that estimate the operating health of an asset or a part thereof, determining recommended operating modes for assets, analyzing health metrics to determine variables that are associated with high health metrics, and modifying the handling of operating conditions that normally result in triggering of abnormal-condition indicators, among other examples.

Abstract: Techniques for training and evaluating seasonal forecasting models are disclosed. In some embodiments, a network service generates, in memory, a set of data structures that separate sample values by season type and season space. The set of data structures may include a first set of clusters corresponding to different season types in the first season space and a second set of clusters corresponding to different season types in the second season space. The network service merges two or more clusters the first set and/or second set of clusters. Clusters from the first set are not merged with clusters from the second set. After merging the clusters, the network service determines a trend pattern for each of the remaining clusters in the first and second set of clusters. The network service then generates a forecast for a metric of a computing resource based on the trend patterns for each remaining cluster.

Abstract: An information processing device includes a statistical processing unit that performs statistical processing for a group of spectra obtained by applying light to a group of microparticles that exhibit one response property with respect to light, and on a basis of a result of the statistical processing, exclude a spectrum indicating an outlier from the group of spectra, and a reference spectrum calculation unit that calculates a reference spectrum using the group of spectra from which the spectrum indicating the outlier has been excluded.

Abstract: A computer-implemented method, computing system and non-transitory computer readable medium having computer readable code thereon for processing a dataset of multidimensional signals captured from points in a physical space. The computer-implemented method includes using a computing system, determining, for each of the points, a plurality of spatially neighbouring points in the physical space; and using the computing system, creating a modified signal for each point based on the signals of its respective spatially neighbouring points.

Abstract: A method for calibrating a surgical device is provided. The method includes acquiring first data including a position and/or an orientation of a first object disposed on the surgical device at a first location; acquiring second data including a position and/or an orientation of a second object disposed on the surgical device at a second location; determining third data including a position and/or an orientation of the first object relative to the second location; and determining a position and/or an orientation of the second object relative to the second location based at least in part on the first data, the second data, and the third data.

Abstract: A water gathering and distribution system and related techniques for operating in freezing environmental conditions are disclosed. The system may include a water diverter unit or a water flow regulation unit configured to receive water from a water source situated at a location that is remote, inaccessible (or difficult to access), and/or experiences freezing environmental conditions and to deliver a controlled volume of that water for downstream use. The system further may include a water supply unit configured to receive that water and to supply it to downstream snowmaking equipment. In some instances, the supply unit also may cool the water to a temperature suitable, for example, for snowmaking. In a general sense, the disclosed system may be considered modular, in that multiple system components may be placed in flow communication with one another, as desired, to provide a distributed network of water collection and distribution elements.

Abstract: Described is a system for adaptive calibration of a sensor of an inertial measurement unit. Following each sensor measurement, the system performs automatic calibration of a multi-axis sensor. A reliability of a current calibration is assessed. If the current calibration is reliable, then bias and scale factor values are updated according to the most recent sensor measurement, resulting in updated bias and scale factor values. If the current calibration is not reliable, then previous bias and scale factor values are used. The system causes automatic calibration of the multi-axis sensor using either the updated or previous bias and scale factor values.

Abstract: Embodiments herein provide a method for imputing sensor data, in a sensor data sequence with missing data based on the semantics learning, where semantics is defined by the constraints of the sensor data features. A candidate value for imputation is determined based on sensor data of corresponding instances of time instants of the sensor data sequence using learning based on semantics of features of the sensor data sequence with missing data. The nearest neighbors search has been applied in similar response data sequence using the data values corresponding to the time instant of missing data in sensor data sequence. In case similar response data sequence is not available imputation is performed based on the distribution pattern of missing data.

Abstract: A failure location specifying device, a failure location specifying method, and a failure location specifying program capable of specifying locations of various failures occurring in a mechanism unit of a machine efficiently are provided. A failure location specifying device includes: a failure history database that stores a specific frequency band occurring resulting from a failure of a machine in correlation with at least an event code indicating a location of the failure; an input unit that receives data related to vibration during operation of the machine as an input; and an output unit that matches the specific frequency band to a frequency included in the data related to vibration to specify the location of the failure and outputs the event code.