Abstract: This disclosure presents a dimensionless relationship between a fluid flow rate, a viscosity, and a brake horsepower (BHP) in a pump operation and a method that uses the dimensionless relationship to predict a BHP for viscous performance of a pump from water performance specifications. Using the dimensionless relationship, i.e., K-R number, the methods determine a BHP correlation that allows the prediction of the BHP specification to satisfy a pump performance metric at any given speed, flow rate, and viscosity. This prediction can be calculated from water performance specifications without physically testing the pump in the viscous implementation environment.

Abstract: A system and method for using weather applied metrics for determining the impact of weather conditions on the flight of a ball at an outdoor sports venue. Historical and current data for weather parameters, including wind, air pressure, humidity, temperature, and precipitation, are obtained to calculate the influence of each parameter on the flight of a ball. The influences of each of the parameters are summed to model the flight of the ball based on the current weather conditions. Weather instruments, such as weather sensors, anemometers, LiDAR and SODAR devices, weather consoles, data routing devices, and processors can be included in a system for using weather applied metrics to predict the flight of a ball based on current weather conditions.

Abstract: A component orientation determination data creation device for creating component orientation determination data used in a component orientation determination system that determines an orientation of the component by comparing a brightness value of a determination region specified in the component orientation determination data within an image of the component captured by a camera with a determination threshold. A difference image between an image of the component in a correct orientation and an image of the component in another orientation is calculated by acquiring multiple images of the component in different orientations by changing the orientation with respect to the camera of the component that is the target for the component orientation determination data creation.

Abstract: Methods for determining the presence of an unmeasured chemical in an environment can include receiving a plurality of sensor readings from a plurality of chemical sensors, wherein each chemical sensor of the plurality of chemical sensors is configured to detect a different chemical, determining a cross-sensitivity pattern from one or more unmeasured chemicals in the plurality of sensor readings, comparing the cross-sensitivity pattern with one or more known chemical patterns, determining that the cross-sensitivity pattern matches at least one of the one or more known chemical patterns that correspond to one or more chemicals, and identifying one or more unmeasured chemicals based on determining that the cross-sensitivity pattern matches the at least one of the one or more known chemical patterns.

Abstract: A methodology that performs fluid sampling within a wellbore traversing a reservoir and fluid analysis on the fluid sample(s) to determine properties (including asphaltene concentration) of the fluid sample(s). At least one model is used to predict asphaltene concentration as a function of location in the reservoir. The predicted asphaltene concentrations are compared with corresponding concentrations measured by the fluid analysis to identify if the asphaltene of the fluid sample(s) corresponds to a particular asphaltene type (e.g., asphaltene clusters common in heavy oil). If so, a viscosity model is used to derive viscosity of the reservoir fluids as a function of location in the reservoir. The viscosity model allows for gradients in the viscosity of the reservoir fluids as a function of depth. The results of the viscosity model (and/or parts thereof) can be used in reservoir understanding workflows and in reservoir simulation.

Abstract: Electrical structures, methods, and computer program products for radio frequency (RF) de-embedding are provided. A structure includes a first test device, a first through structure corresponding to the first test device, and a first open structure corresponding to the first test device. The structure also includes a second test device having at least one different physical dimension than the first test device but otherwise identical to the first test device, a second through structure corresponding to the second test device, and a second open structure corresponding to the second test device. A method includes determining a first electrical parameter of the first test device in a first DUT structure and a second electrical parameter of the second test device in a second DUT structure based on measured electrical parameters of the first and the second DUT structures, through structures, and open structures.

Abstract: A method for computing effective permeability for a discrete fracture network in a subterranean environment. The method may include: obtaining (800) attributes of the discrete fracture network, spatially sampling (810) points on the surfaces of fractures inside a computation cell; allocating (820) to each sampled point at least one attribute of the corresponding fracture, computing (850) discrete pressure values in the computation cell at the location of the sampled points by solving partial derivative equations of a flow model; computing effective permeability (860) values for the computation cell from the pressures values.

Abstract: Provided are systems and method for dosing a pharmaceutical formulation. These methods and systems can displace the pharmaceutical formulation through a density flow meter, wherein the density flow meter is configured to measure a density of the pharmaceutical formulation. Next, the pharmaceutical formulation can be dosed into preformed molds and the dosing process can be stopped when the density of the pharmaceutical formulation measured by the density flow meter is below a predetermined threshold.

Abstract: A manufacturing device monitoring system includes a plurality of manufacturing devices and a remote monitoring device. The manufacturing device includes a work unit, an equipment notifier, an error detector, and an error notifier. The error notifier determines whether or not an error detected by the error detector may be corrected by an operation from the remote monitoring device, notifies the remote monitoring device of the occurrence of the error in a case where the error can be corrected, and operates the equipment notifier to notify a first notification pattern in a case where the error cannot be corrected.

Abstract: A method, computer program product, and system for tracking scheduled and unscheduled tasks of devices in case of an electrical power outage is provided. The method includes providing a hub connected to an electrically powered device, where the hub is powered by an uninterruptible power source. The method further includes continually recording data regarding the operational state of the electrically powered device using one or more sensors attached to the electrically powered device. The method further includes tracking progress of tasks associated with the electrically powered device, based on the continual recording of data regarding the operational state of the electrically powered device. The method further includes, upon detecting a power outage followed by a restore of power, identifying an expected activity to resume a task associated with the electrically powered device, based on the tracked progress of the task prior to the power outage.

Abstract: A method of processing a signal representative of at least one physical property of a physical system comprising generating a set of predicted signals, the set of predicted signals comprising at least one member, each member representing a physical state of the physical system, generating a predicted waveform or the signal for each member dependent upon the physical state, and comparing each predicted waveform with the signal to determine the accuracy with which the physical state represented by the member for which the predicted signal was generated matches an actual physical state of the physical system. In an example embodiment, the physical system is a tyre and the state includes the air pressure within the tyre.

Abstract: A method for predicting characteristics of semiconductor devices includes collecting first data for a plurality of first characteristics from first semiconductor devices already in mass production, and collecting second data for the first characteristics and third data for a plurality of second characteristics from at least one second semiconductor device manufactured as an experimental sample before beginning the mass production. A covariance matrix is then obtained based on the first, second, and third data, and a mean vector for third semiconductor devices to be in the mass production is determined. Prediction data for third semiconductor devices is then generated based on the covariance matrix and the mean vector.

Abstract: To provide a deposit detection device capable of detecting with accuracy and alarming deposits deposited in an exhaust pump used for various processes regardless of kinds and flow rate of process gas, and to provide an exhaust pump equipped with the deposit detection device. A pump control device 50 of an exhaust pump P comprises a deposit detection device which executes, as initial process, steps of reading electric current value of a motor for rotating a rotor and obtaining and storing an initial electric current value of the motor based on the electric current values read; and then executes, as next process, steps of reading the electric current value of the motor, obtaining a current value of the motor based on the electric current values read, and obtaining quantity of fluctuation of the current value of the electric current value of the motor relative to the initial value of the electric current value of the motor, thereby detecting the deposit in the pump based on the quantity of fluctuation.

Abstract: A fault signal recovery apparatus and method for collecting signals obtained in a plant and recovering normal signals from fault signals contained in the measured signals through a machine learning method includes receiving an input X including only normal signals for a plurality of tags, an input U including fault signals for a first group of tags among the plurality of tags and normal signals for a second group of tags, and an input S having information on the first group of tags including fault signals, and estimating and recovering normal signals for the first group of tags including fault signals based on feature information F, recovery model information P, and ensemble learning.

Abstract: A composition formula of each precursor ion located on a measured mass spectrum is estimated from the m/z value of the precursor ion (S11). A composition formula of each product ion located on a measured MS/MS spectrum is estimated from the m/z value of the product ion (S11). For each product-ion peak, the assignment of the peak is determined by verifying consistency between the composition formula of the product ion and the composition formula of each of the precursor ions (S13-S14). Based on the assignment result, the MS/MS spectrum data are separated and an MS/MS spectrum for each precursor ion is created (S15-S16). In this manner, MS/MS spectra which respectively correspond to a plurality of compounds can be created from an MS/MS spectrum in which the product ions originating from those compounds are mixed, and those compounds can be identified.

Abstract: Utilizing the techniques disclosed herein, sensor data inaccuracies may be corrected such that calculated fill levels more accurately reflect the actual fill level of the item within an automatic replenishment device (ARD). For example, the ARD may include a sensor configured to collect the sensor data (e.g., a distance between the sensor and an item contained within the ARD). Sensor data associated with an item within the ARD may be received. A measurement offset value specific to the item may be identified. An estimated fill level of the item within the ARD may be calculated based at least in part on the distance measured between the sensor and the item and the measurement offset value specific to the item.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for receiving an indication of damage to a building from a sensor network associated with the building, where the sensor network is responsive to damage to the building. Determining a location and an extent of the damage to the building based on the indication of damage. Automatically coordinating a repair for the damage in response to determining the location and the extent of the damage.

Abstract: A computing device for investigating a load is described. The computing device includes a processor and executable instructions stored in memory that is in electronic communication with the processor. The computing device requests load driving data corresponding to a load that is driven by an electronic device. The computing device also receives the load driving data from the electronic device. The computing device further obtains load characterization data.

Abstract: Methods and systems are provided for quantifying contributions of gas mixtures in a reservoir compartment by way of isotopic analyses. Differing thermal maturities of the different gas mixtures allow estimation of the relative quantity of each gas mixture present in a total gas mixture. Thermal maturities may be estimated by reference to isotopic analyses of each contributing gas mixture and a commingled gas mixture resulting from commingling each of the individual source gas mixtures. This method may be carried out at various depths to determine relative contributions of each gas mixture to the total gas mixture as a function of wellbore depth. Advantages of certain embodiments include, but are not limited to, higher accuracies and ease of application as compared to conventional methods.

Abstract: The present invention relates to an apparatus for monitoring a tire pressure using a mass of a vehicle. Provided is a tire pressure monitoring apparatus using a mass of a vehicle including: a radius analyzing unit; a frequency analyzing unit; a mass estimating unit; a calibration unit; and a low pressure determining unit.