Abstract: The systems, methods, and apparatuses described herein provide integrated weather forecast products designed to assist operations managers with operational decision-making related to a designated event or set of events. The present disclosure provides a way to process weather data from various sources and in diverse data formats containing varying spatial resolutions and temporal resolutions, in order to generate an integrated and cohesive weather projection product such that the weather projection product is continuous in both spatial and temporal domains relative to a designated event or set of events.

Abstract: Methods and apparatuses to assign faults to nets in an integrated circuit (IC) are described. Each net comprises a drive pin, a set of load pins, and a fan-out structure that electrically couples the drive pin to the set of load pins. During operation, a fan-out structure of a net can be partitioned into a set of non-overlapping subnets and a set of branch nodes, wherein each branch node electrically couples three or more non-overlapping subnets. Next, each branch node can be represented by using a subnet primitive, wherein each subnet primitive comprises three or more pins that are electrically coupled to non-overlapping subnets that are electrically coupled by the branch node. A fault can then be assigned to a pin of a subnet primitive that is electrically coupled to a non-overlapping subnet, thereby modeling the fault in the non-overlapping subnet.

Abstract: The present disclosure relates to methods and apparatus for identifying metabolic pathways and metabolites in complex biological samples. In particular, the present disclosure relates to a method and apparatus to increase the confidence of metabolite identification in metabolomics, such as in untargeted metabolomics data, using various statistical tools, such as over representation and enrichment analysis.

Abstract: The present disclosure pertains to detection of anomalous conditions in a variety of types of systems. In one embodiment, a system may be configured to identify anomalous conditions in a stream of measurements. The system may include a communications interface configured to receive a stream of measurements. An archive subsystem may maintain a data archive comprising a statistical representation of the stream of measurements. A pre-processing subsystem may divide the stream of measurements into a plurality of data windows. The plurality of data windows may be analyzed by an analysis subsystem configured to generate a plurality of normalized representations based on the data archive. The plurality of normalized representations may be grouped into a plurality of ranges. An anomaly detection subsystem may perform a comparison of the plurality of normalized representations to at least one threshold and may determine that the comparison indicates an anomalous condition.

Abstract: In accordance with various embodiments described herein are systems and methods for collecting and analyzing parameter and properties data from an operation and using the data to determining Automation Safety and Operations Performance (ASOP) metrics indicative of various performance aspects of a given operation. Some embodiments are systems and methods for determining one or more ASOP metrics or metrics selected from a group consisting of elements including but not limited to Alarm System Performance Metric, an Operator Loading Metric, a Controllability Performance Metric, a Proximity to Safety System Metric, a Demand on Safety Systems Metric, and a Control System Integrity Metric.

Abstract: A method for processing sensor data in a distributed sensor system includes generating aggregated sensor data values associated with a first sensor and belonging to one or more aggregation time intervals, tagging each aggregated sensor data value with an aggregation indicator. The aggregation indicator has a first value indicating partial aggregation and has a second value indicating complete aggregation. In some embodiments, the method combines the partially aggregated sensor data belonging to the same time interval into a complete aggregated sensor data.

Abstract: A system and a method are disclosed including a dual laser measurement device (DLMD) coupled with a mobile computing device to measure dimensions of a building or other structure, calculate other quantities based on the measured dimensions, select building construction or finishing material, order the material, and save the list of the measured dimensions and ordered materials in a data storage device. All steps of this process from measurement to ordering material may be performed using a DLMD app running on the mobile computing device.

Abstract: A power distribution and communication system includes nodes connected by power lines and communication links. The system receives power from one or more power sources. Each node contains at least one power port, data port and load port. Associated with each power port and load port is a port monitor for measuring current flowing into or out of the port and the voltage difference between the port outlet and ground, which measurements are passed to a processing element. The processing element and monitor analyze measured values to detect fault conditions. Upon fault condition detection, the port is disabled by opening a switch, disconnecting the port from the system voltage. The processing element receives power directly from the power line, thus receiving power from a live power line even if the associated power port is disabled allowing the processing element to enable a disabled node following a failure.

Abstract: A device forming a stackable container that can be used to transport products includes a portion forming a crate defining a base and four side walls and a top wall, secured to one another in a sealed manner, made mainly of a plastic material; a door for sealingly closing the crate, forming with the crate, when closed onto same, a sealed box; a system for drawing and compressing gases contained in the closed box; and at least one tight casing for storing the drawn and compressed gases, rigidly connect to the box and forming a bracing frame during transport and a flotation buoy when the container is immersed in water.

Abstract: Cement in a wellbore is evaluated by using cement evaluation tools to obtain ultrasonic image information and flexural wave image information. Flexural wave imager waveforms are applied to a trained machine learning system that predicts the presence or lack thereof of a clinging P as a function of depth and azimuth, while the ultrasonic imager impedance maps are applied to a trained machine learning system that identifies galaxy patterns for depths and azimuths, indicating the presence of a third interface echo (TIE) close to the casing. Locations of clinging Ps are compared to locations of galaxy patterns to identify when a TIE could cause a false clinging P determination. Where a disambiguated clinging P is found, contaminated cement is identified that may also locate the top of the cement in the annulus.

Abstract: A method of determining maximum stress in a well drilled in a reservoir, primarily a hydrocarbon reservoir, where there is at least one zone. Collapse regions are produced while drilling a well because the material of the wall of the well exceeds its maximum allowable stress, the material fractures and falls off, leaving a cavity. The caliper of the damaged zone is measured by devices that extend radially until coming into contact with the physical wall of the well. The disclosed method determines the maximum allowable stress based on the caliper measurements and other variables which are determinable.

Abstract: A configurable automated system preprocesses weather and agronomic data to provide a yield forecast model for a target crop in an identified region. The system considers data typically excluded based on biases of a human operator and/or considers data otherwise not considered to be relevant and/or a powerful predictor by a person having ordinary skill in the art. The system builds predictive models through a variety of statistical approaches, selects and validates candidate models, and operates validated models that output in-season forecasts in a production environment.

Abstract: A method for leakage detection of underground pipeline corridor based on dynamic infrared thermal image processing. The leakage can be detected by the following steps, including: converting infrared thermal videos into infrared thermal images; obtaining the gray scale information and temperature information of internal environment of the underground pipeline corridor. The gray scale information can realize the conventional target of pipe line state identification inside the pipeline corridor, and the temperature information can be used to detect the pipe leakage.

Abstract: A computer-implemented method for identifying mechanical parameters of an object subjected to mechanical stress is provided. The method comprises a step of acquiring, by an imaging means, images of the object taken before and during the application of the mechanical stress, three steps of calculating the effects due to the stress carried out either on the basis of the modeling of the recorded images or on the basis of a theoretical mechanical modeling of the stress, a step of defining a functional equal to the difference between the two models and a last step of minimizing said functional so that the experimental model is as close as possible to the theoretical mechanical model. Additional measurements make it possible to refine the method.

Abstract: Systems, devices, and techniques for determining downhole fluid contamination are disclosed. In one or more embodiments, phase-related properties are measured for a reservoir fluid having a determined composition. An equation-of-state (EOS) isselected and/or tuned based, at least in part, on the measured phase-related properties and the tuned EOS is applied to estimate fluid property values for a reference fluid over specified ranges of at least two thermodynamic properties. Contaminant reference data are generated that correlate the estimated fluid property values for the reference fluid with respective contaminant levels. Within a wellbore, a fluid sample is analyzed to determining a fluid property values. A contaminant level is identified that corresponds within the contaminant reference data to the determined fluid property value of the fluid sample.

Abstract: A method (1310) for attributing a systems tract to a geological environment, including computing (1314) a shelf break for a geologic environment based at least in part on implicit function values associated with the geologic environment; identifying (1318) sea level variations with respect to geological time for the shelf break; and assigning (1322) at least one systems tract to the geologic environment based at least in part on the sea level variations.

Abstract: A method includes performing by a processor: receiving a plurality of synchrophasor measurements of a power system signal associated with a time interval from a phasor measurement unit (PMU), each of the plurality of synchrophasor measurements including a phase angle, frequency value, and a timestamp associated with the synchrophasor measurement, determining a plurality of relative phase angles based on the plurality of phase angles, determining a correlation coefficient between the plurality of relative phase angles and a plurality of corresponding frequency values of the power system signal, and detecting an error in the plurality of timestamps based on the correlation coefficient; estimating the error in the plurality of timestamps based on the plurality of relative phase angles and the plurality of corresponding frequency values.

Abstract: The present invention discloses a method for fault diagnosis of the sensors and actuators of an aero-engine based on LFT, and belongs to the field of fault diagnosis of aero-engines. The method comprises: establishing an aero-engine state space model using a combination of a small perturbation method and a linear fitting method; establishing an affine parameter-dependent linear-parameter-varying (LPV) model of the aero-engine based on the model; converting the LPV model of the aero-engine having perturbation signals and sensor and actuator fault signals into a linear fractional transformation (LFT) structure to obtain an synthesis framework of an LPV fault estimator; solving a set of linear matrix inequalities (LMIs) to obtain the solution conditions of the fault estimator; and designing the fault estimator in combination with the LFT structure to realize fault diagnosis of the sensors and actuators of an aero-engine.

Abstract: A method for determining casing wear of casing in a wellbore, a computer program product for determining a back-calculated casing wear factor (CWF) value for casing in a wellbore, and a well site controller are provided herein. In one embodiment, the well site controller includes: (1) an interface configured to receive actual remaining wall thickness (RWT) values that correspond to a set of casing depth values of a wellbore and (2) a processor configured to determine a back-calculated casing wear factor (CWF) value for the wellbore based on a comparison between the actual RWT value and an estimated RWT value, for the set of casing depth values, where the estimated RWT value is calculated using an estimated CWF value as input.

Abstract: An information processing apparatus includes: a memory; and a processor coupled to the memory and configured to: select, by referring to the memory that stores a plurality of correlations between a second mass concentration of particles in a gas and a second number concentration of the particles in the gas with respect to second humidity of the gas, two correlations from the plurality of correlations; and calculate a first mass concentration of particles in a gas based on the two correlations, a first number concentration of the particles in the gas measured by a first number concentration measuring instrument, and first humidity of the gas measured by a first hygrometer.