Abstract: An instrument for measuring a physical quantity, an instrument system having a plurality of such instruments, and a method for operating such a system are described. The instrument includes a sensor, an instrument class error calculator and a communication interface. The sensor measures the physical quantity and generates a value, Vm, for the physical quantity. The instrument class error calculator provides an instrument class error associated with Vm. The instrument system includes a plurality of these instruments that are manufactured on an ongoing basis. The instrument system includes a database that stores a measurement generated by each instrument in a sample of the instruments during manufacture and a communication link between the database and one of the instruments in the class that provides information on the instruments based on measurements made after the one of the instruments in the class was manufactured.

Abstract: A method, spectral detection system and computer readable medium for acquiring spectral data for a sample; detecting presence of compounds in a time window; performing a spectral library search using the spectral data from the time window; evaluating the hit list of compounds in each time window and selecting a subset of highly probable compounds; performing a regression analysis between the retention index and the measured retention time for the compounds in the subset; identifying and removing outliers from the subset with large retention index errors; repeating the regression analysis with the outliers removed; calculating the retention index values for all compounds from the entire sample run; comparing the calculated retention index value to that of a possible compound to be identified, and using a retention index match score as an additional metric or filter to additionally assess the likelihood of a possible hit.

Abstract: A landslide risk monitoring and early warning method based on real 3D includes the following steps: S1, multi-source data fusion processing: collecting landslide-related data for an integrated fusion processing; S2, large-scale scene modeling, and analysis; S3, mesoscale scene modeling and analysis; S4, small-scale scene modeling and analysis; S5, landslide knowledge association and entity database construction; S6, landslide risk multi-scale dynamic assessment; S7, landslide multi-indicator monitoring and early warning. A landslide hazard monitoring and early warning system based on real 3D is also disclosed. The above-mentioned landslide risk monitoring and early warning method and system based on real 3D can realize different scale data acquisition and real 3D modeling of landslide geological disasters, establishment of full-factor real 3D landslide scene database, multi-scale spatial-temporal dynamic monitoring and analysis of landslide risk, and timely and intelligent multi-indicator early warning.

Abstract: A method and apparatus are disclosed for determining status of a canister of a topical negative pressure (TNP) system. The method includes the steps of monitoring pressure provided by a pump element of the TNP system, determining at least one characteristic associated with the monitored pressure and determining status of at least one parameter associated with a canister of the TNP system responsive to the determined characteristics.

Abstract: A method of predicting pore pressure based on seismic data can include obtaining seismic inversion data based in part on seismic data collected from a formation. The method also includes calculating a pore-pressure transform, wherein the pore-pressure transform comprises parameters derived using measured pore pressure data, upscaled sonic logs, and density logs, wherein the pore-pressure transform comprises an objective function to reduce unphysical variations in predicted pore pressure corresponding to depth. Additionally, the method can include adjusting the pore-pressure transform for sampling bias caused by pore pressure measurements being restricted to a plurality of lithologies by accounting for a difference between upscaled seismic velocities and average sonic velocities within each of the lithologies.

Abstract: A system can determine timeseries telemetry data of resource utilization of respective data centers of a group of data centers maintained by the system. The system can predict respective hardware requests based on future resource utilization based on the timeseries telemetry data, the hardware requests comprising respective hardware requests at respective data centers of the group of data centers. The system can predict respective future times at which the respective hardware requests will occur. The system can determine respective physical location sources of hardware, respective physical location destinations of hardware, and respective amounts of hardware based on the respective hardware requests and the respective future times. The system can store an indication of the respective physical location sources of hardware, respective physical location destinations of hardware, and respective amounts of hardware.

Abstract: A vibrational disfunction machine learning model trainer trains a vibrational disfunction classifier to identify one or more types of vibrational disfunction, or normal drilling, based on measurements of at least one of displacement, velocity, acceleration, angular displacement, angular velocity, and angular acceleration acquired for the drill bit. The vibrational disfunction machine learning model trainer trains the algorithm based on data sets corresponding to characteristic behavior for one or more types of vibrational disfunction and normal drilling. The vibrational disfunction classifier operates in real time, and can operate at the drill bit and communicate vibrational disfunction identification in real time, allowing mitigation of vibrational disfunction through adjustment of drilling parameters.

Abstract: A method for adjusting a flow rate of a fluid line is disclosed that includes one or more acts of: capturing an image of a drip chamber using an image sensor; identifying a plurality of pixels of interest within the image; determining a subset of pixels within the plurality of pixels of interest, wherein each pixel of the plurality of pixels is determined to be within the subset of pixels when there is a path to a baseline corresponding to the drip chamber; performing a rotation operation on the subset of pixels; estimating a volume of the drop within the drip chamber by counting a number of pixels within the rotated subset of pixels; and/or adjusting a flow rate of fluid flowing through a fluid line.

Abstract: A system for wireline service planning and advising includes a receiver, one or more computing system processors, and a transmitter. The receiver is configured to receive, from a user of the system, an objective parameter for interpreting a state of a well barrier. The one or more computing system processors is in communication with the receiver and configured to generate a plurality of candidate services based on the objective parameter and a model of the well barrier, each candidate service specifying sensor data to be acquired using wireline tools, select at least one wireline service from the wireline candidate services based on a selection logic or input by the user, and generate an execution plan specifying operational parameters of the selected wireline service. The transmitter is in communication with the one or more computing system processors and configured to transmit the execution plan to execute the selected wireline service at a wellsite.

Abstract: A method includes receiving well log data comprising a plurality of well logs, identifying one or more sections of one or more well logs of the plurality of well logs that have substantially complete data, training a reconstruction neural network to reconstruct incomplete well logs based on the one or more sections of the one or more well logs that have substantially complete data, and reconstructing one or more incomplete well logs of the plurality of well logs using the reconstruction neural network.

Abstract: A recognition method for safety behaviors in an industrial control system for a gas field and a recognition system thereof are provided. The recognition method includes: S1, collecting sample data of the industrial control system, and obtaining an analysis report based on the sample data; S2, generating a critical application programming interface (API) call dependency graph and a resource dependency graph based on the analysis report; S3, converting the critical API call dependency graph and the resource dependency graph into numerical matrixes; S4, constructing a detection model according to the numerical matrixes, and then detecting a program abnormal behavior of an industrial control host program based on the detection model, to obtain a recognition result, and the recognition result is a normal behavior or an abnormal behavior. The recognition method and system address issues such as high resource occupancy, timeliness, and inaccuracy in safety behavior recognition for industrial control system.

Abstract: A system for detecting power status changes, such as power outages or power restorations, at a multi-meter node associated with a power distribution network is provided. For example, a multi-meter node associated with a power distribution network can be configured to detect the power status change event occurred at the node, such as a power outage event or a power restoration event. Based on the type of the event, the communication module of the multi-meter node identifies meters contained in the multi-meter node that are impacted by the event, such as meters that become unpowered due to a power outage event or meters that become powered due to a power restoration event. The communication module generates a consolidated power status change message for the impacted meters and transmits the message to a headend system over a mesh network.

Abstract: Systems and methods are discussed to image lithological data within the strata beneath the earth surface, including a subterranean object detection system. The system may further comprise a pipeline operable to conduct a working fluid and an instrumented pig operable to travel within the pipeline and operable to image lithological strata and voids within the strata beneath and around the pipeline. The instrumented pig may comprise an outer case, a battery coupled to the outer case, a ground imaging unit operable to send a signal to image the lithological strata and voids within the strata beneath and around the pipeline and may be operable to receive a reflected signal indicating lithology data, wherein the ground imaging unit may be operably coupled to the battery.

Abstract: Methods and devices for diagnosing a robot. The method includes obtaining a first signal generated by a rotating component of the robot during operation of the robot. The first signal includes motion information of the rotating component. The first signal is preprocessed to filter out a part of the motion information in the first signal. The preprocessed first signal or spectrum information about the preprocessed first signal is sent to a server for diagnosing the robotU. A second signal is received from the server, wherein the second signal includes diagnostic information indicating whether a sub-component of the rotating component has a failure.

Abstract: A device for estimating a temperature of a lubricant in a transmission that transmits power from a motor to a robot joint includes a thermometer and a processor. The processor includes hardware configured to: receive, as input from the motor, a current value of the motor and calculate, as output, a motor heat value based thereon; receive, as input from the motor and the transmission, a rotating speed of the motor and a frictional torque of the transmission, and calculate, as output, a frictional heat value in the transmission based on the rotating speed of the motor and at least one of the frictional torque of the transmission and at least one coefficient of friction of the transmission; and receive, as input from the thermometer, the room temperature, the frictional heat value, and the motor heat value and estimate, as output, the estimated temperature of the lubricant based thereon.

Abstract: This two-dimensional Fourier transform ultrasound imaging method includes by controlling transmitting and receiving transducers: obtaining M matrices MRm, 1?m?M, of sampled ultrasonic time signals; two-dimensional Fourier transforming each matrix MRm to obtain M spectral matrices FTMRm; converting each spectral matrix FTMRm to obtain M spectral images FTIm; combining the M spectral images FTIm and two-dimensional inverse Fourier transforming the resulting spectral image FTI to obtain an ultrasound image I. The conversion includes taking into account a change of propagation mode during a backscatter, by adding a parameter characterizing this change of mode in equations (SYS) of change of reference frame, and/or taking into account a reflection against a wall, by adding a phase shift term in a relation (REL) of matrix transformation.

Abstract: Placement of a tenant database in an oversubscribed, database-as-a-service cluster comprised of a plurality of nodes is described. The placement may be based on per-node estimates of a probability of resource demand violation if the tenant database is placed on the node. Past resource usage of similar tenant databases subscribed to the cluster that are collected and stored as compressed traces may be used to obtain the estimates. In some examples, based on the estimates, a per-node expected number of resource violations is determined and compared across nodes, where the determined placement minimizes the number of resource violations. In other examples, when the tenant database is being placed in parallel with other tenant databases, a score assigned to each valid configuration for the placement may be modified based on the estimates, where the determined placement is the configuration having a lowest score.

Abstract: Systems for self-organizing collection and storage in a distribution environment are disclosed. A system may include a data collector for handling a plurality of sensor inputs from sensors in the distribution environment, wherein the sensor inputs sense at least one of an operational mode, a fault mode, a maintenance mode, or a health status of at least one target system selected from a group consisting of a power system, a conveyor system, a robotic transport system, a robotic handling system, a packing system, a cold storage system, a hot storage system, a refrigeration system, a vacuum system, a hauling system, a lifting system, an inspection system, and a suspension system. A system may further include a self-organizing system for: a storage operation of the data, a data collection operation, or a selection operation.

Abstract: A method includes receiving information that includes elastic property information and that includes sonic data acquired via a tool disposed at a plurality of depths in a bore in a subterranean environment that includes at least one anisotropic formation; processing the information to generate processed information where the processed information includes variance information associated with the elastic property information and where the processed information includes velocity information and orientation information associated with the sonic data; performing an inversion based at least in part on the processed information; and outputting values for elastic parameters based at least in part on the inversion.

Abstract: A computer-implemented method for conducting a polygraph test, the method comprising: monitoring physiological indices of a user during the steps of: providing the user with a plurality of pre-questions; and receiving answers from the user to the plurality of pre-questions; analyzing the answers to the pre-questions and physiological indices using machine learning and setting baselines for the monitored physiological indices; generating a plurality of test questions for the user based on the analysis; monitoring physiological indices of a user during the steps of: providing the user with the plurality of test questions; and receiving answers from the user to the test questions; comparing the baselines and the monitored physiological indices during the provision of answers to the test questions; and generating a test result to the test question.