Abstract: A calculation method for service life of concrete in a plateau environment considering protection and restoration effects is provided and includes a construction of a model based on a coupling effect of multi-factors of temperature-humidity-salt concentration-load under the plateau environment, simulation of protection and restoration effects, and quantification of service life. The model includes the physical fields of temperature conduction with variable boundary conditions, water dry-wet cycle transport, salt ion transport, and force fields caused by internal and external loads. The simulation of protection and restoration effects include: surface protective coating, damage restoration, and rebar corrosion resistance.

Abstract: A contact determination device includes a sensor measuring a contact degree of a body to be detected with an object, a contact determination unit determining whether the body to be detected is in contact with the object, based on a reference value, and a correction unit correcting the reference value, in which a cumulative value is obtained by accumulating a fluctuation amount of the detection value from a contact start time of the body to be detected with the object during a period in which the body to be detected is in contact with the object, and when the detection value increases as the contact degree increases, the correction unit corrects the reference value, based on a maximum value of the cumulative value, or when the detection value decreases as the contact degree increases, the correction unit corrects the reference value, based on a minimum value of the cumulative value.

Abstract: A remedy judging system includes a weight checking device and a judgment unit. The weight checking device checks the weight of weighed product discharged from a weighing device. The judgment unit makes a judgment relating to remedies for the weighing device on the basis of “correct weight,” “overweight,” and “underweight” checking results, relative to a predetermined weight serving as a norm, obtained by the weight checking device. The judgment unit makes the judgment on the basis of determination patterns having an “underweight” checking result and at least one checking result that consecutively follows the “underweight” checking result.

Abstract: A delay time detection circuit includes below configurations. A clock generation unit generates a sub scale clock signal, based on a system clock signal. A count unit generates a count signal while sequentially and repeatedly incrementing a count number, based on the sub scale clock signal. A sub scale signal generation unit receives the count signal, and generates sub scale signals, equal in number to the count number, that each have, at a rate of once in the count number, a rectangular wave for a duration being associated with a second period and that are shifted in timing relative to one another according to the second period. A delay time calculation unit receives the input clock signal, and calculates a delay time within a range of the first period of the input clock signal with respect to the system clock signal, based on one of the sub scale signals.

Abstract: A method of calculating ionospheric scintillation includes calculating a motion-corrected perturbation of a GNSS radio signal received by a monitoring device deployed in an oceanic environment. The method includes calculating the ?? using the high rate phase of the GNSS signal adjusted by removing the change in distance between the monitoring device and the GNSS satellite. The calculating the ?? may further include passing the adjusted high rate phase through a high pass filter to remove a drift motion of the monitoring device. The method further includes calculating the S4 through calculating a tilt angle between the antenna of the monitoring device with the GNSS satellite and adjusting the antenna gain through known gain pattern of the antenna. The wave height of the oceanic environment may be calculated by detrending the antenna height to remove low frequency motion when a high rate position of the monitoring device is calculated.

Abstract: A method for operating a magnetic-inductive flowmeter includes: detecting the noisy raw measurement signal having a first signal path by a signal sensor with high impedance by the pair of electrodes; passing the detected, noisy raw measurement signal on to a first signal processing device; processing the detected, noisy raw measurement signal by the signal processing device at least into a noise-removed flow measurement signal; outputting the noise-removed flow measurement signal via a working signal interface; detecting the detected, noisy raw measurement signal of the first signal path with a second signal path; and transmitting the detected, noisy raw measurement signal at least indirectly to the first signal processing device and/or a second signal processing device. The first signal processing device and/or the second signal processing device also carry out a frequency analysis of the detected, noisy raw measurement signal. A corresponding magnetic-inductive flowmeter is also disclosed.

Abstract: Systems and methods are disclosed for determining an engagement level of a user interacting with an electronic program, comprising receiving or determining a decision node tree, each node in the decision node tree corresponding to a user decision point in the electronic program, determining a number of levels in the decision node tree, determining a user traversed count comprising a number of levels the user has traversed in the decision node tree, and determining the engagement level of the user with the electronic program based upon the user traversed count and the number of levels in the decision node tree.

Abstract: Systems for examining a material comprising: an electromagnetic radiation source; a dielectric contrast analysis structure comprising: a bulk dielectric substance; a plurality of receptacles in the bulk dielectric substance for receiving the material; and an electromagnetic radiation detector, wherein the dielectric contrast analysis structure is between the electromagnetic radiation source and the electromagnetic radiation detector. Wherein the plurality of receptacles are substantially parallel with one another and are disposed in a dielectric contrast analysis structure that is disposed in a pipe. Wherein the dielectric contrast analysis structure comprises: a bulk dielectric substance having a first end, a second end, and the plurality of receptacles disposed within the bulk dielectric substance, wherein a flow path of the material through the receptacles is from the first end of the bulk dielectric substance to the second end of the bulk dielectric substance.

Abstract: Methods and systems are provided that use resistivity log data to estimate water saturation of formation rock and/or other useful formation parameters (such as CEC) in a manner that accounts for one or more electrically conductive mineral components contained in the formation rock.

Abstract: An interface for power and data exchange with sensors system used in a locale, with the system comprising at least one active external adapter and at least one passive stationary beacon, with the beacon being affixed to or within bulk material. The system utilizes an innovative transmitted power system that allows the adapter to provide power to the beacon whenever the adapter passes within proximity of the beacon. Each beacon communicates in real time with the adapter to detect, collect, transmit, and receive environmental information and metadata.

Abstract: In contrast to existing methods wherein derived horizons are interpreted in isolation, the disclosure provides a process that does not interpret patches themselves but determines the relationships between patches, in order to associate and link patches to derive a holistic geological interpretation. Predefined patches, such as from a pre-interpreted suite, are received as inputs to determine the relationships and derive an interpretation for a complete volume. In one aspect the disclosure provides an automated method of generating a geological age model for a subterranean area. In one example, the automated method includes: (1) abstracting seismic data of a subsurface into a limited number of patches, (2) abstracting the patches by defining patch-links between the patches, and (3) generating a geological age model of the subsurface by solving for the relative geological age of each of the patches using the patch-links.

Abstract: A metrology system may arrange metrology measurements for a plurality of metrology targets distributed in a plurality of fields on one or samples into a signal vector, where the metrology measurements associated with the metrology targets in each of the plurality of fields are grouped within the signal vector. The system may further decompose the signal vector into reconstruction vectors associated with different spectral components of the signal vector. The system may further classify a subset of the reconstruction vectors as components of a metrology model, where a sum of the components corresponds to a metrology model describing the metrology measurements on the one or more samples. The system may further generate control signals to control one or more processing tools based on the metrology model.

Abstract: A method for identifying a critical error of a worm gear machine, step 1: obtaining an actual forward kinematic model T27a and an ideal forward kinematic model T27i from a coordinate system of a worm gear hob to a coordinate system of a worm gear, thereby establishing a geometric error-pose error model of the worm gear machine; step 2: regarding the geometric error-pose error model of the worm gear machine as a multi-input multi-output (MIMO) nonlinear system, and solving, by taking the geometric error of each motion axis of the worm gear machine as an input feature X, and a pose error between the worm gear hob and the worm gear as an output variable Y, an importance coefficient of each input feature with a random forest algorithm; and step 3: determining a critical error affecting a machining accuracy of the worm gear machine.

Abstract: Provided is a hydrostatic pressure testing system that can account to solar irradiance, comprising a controller configured to control the hydrostatic pressure testing system during hydrostatic pressure testing on an installation, a test fluid assembly configured to transfer a test fluid to the installation, a plurality of pumps configured to pressurize the installation to a first pressure level using the test fluid, a plurality of pressure sensors configured to measure pressure of the test fluid in the installation, and a plurality of irradiance sensors configured to measure solar irradiance on the installation.

Abstract: Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.

Abstract: A method for InSAR assessment and prediction of risk level of urban buildings is provided, and includes the following steps: obtaining multi-channel SAR images of the urban buildings, extracting monitoring points in the multi-channel SAR images, and obtaining InSAR monitoring results of the urban buildings based on areas of the monitoring points, wherein the monitoring points comprise permanent scatterers and distributed scatterers; obtaining building outlines, obtaining deformation parameters based on the building outlines and the InSAR monitoring results, and assessing a building risk level based on the deformation parameters, wherein the deformation parameters comprise deformation velocity parameters and angle distortion parameters; constructing a stress-pore water pressure model, and carrying out a building risk prediction on the numerical simulation results based on set building risk level.

Abstract: A system and methods for OCD metrology are provided including receiving training data for training an OCD machine learning (ML) model, including multiple pairs of corresponding sets of scatterometric data and reference parameters. For each of the pairs, one or more corresponding outlier metrics are by calculated and corresponding outlier thresholds are applied whether a given pair is an outlier pair. The OCD MIL model is then trained with the training data less the outlier pairs.

Abstract: A technique relates to a superconducting chip. Resonant units have resonant frequencies, and the resonant units are configured as superconducting resonators. Josephson junctions are in the resonant units, and one or more of the Josephson junctions have a shorted tunnel barrier.

Abstract: A laboratory system is disclosed. The laboratory system comprises a plurality of laboratories comprising one or more analytical instruments for performing a plurality of analytical tests (T1-n) and providing analytical test results (TR1-n) and a remote computer communicatively connected to the laboratories. Each of the laboratories is configured to define test result validation criteria (C1-n) for validating at least one of the analytical test results (TR1-n) associated with the respective analytical tests (T1-n) of one of the plurality of laboratories. The remote computer is configured to define a plurality of profiles (P1-n) of validation criteria, to assign the profiles (P1-n) of test result validation criteria (C1-n) to one or more of the laboratories (102), and to perform an automatic validation of groups (G1-n) of the analytical test results (TR1-n) according to the profiles (P1-n) of test result validation criteria (C1-n).

Abstract: A gas leakage safety monitoring method based on an Internet of Things system, executed by a processor in a smart gas safety management platform of a system for monitoring smart gas leakage safety based on an Internet of Things system, includes obtaining regional data and industrial gas data of a workshop to be monitored, determining a key sub-region based on the regional data and the industrial gas data, and determining at least one recommended monitoring site based on environmental data of the key sub-region, which reasonably and reliably determines the recommended monitoring site for different complex environments based on data obtained from an Internet of Things system, henceforth improving sensitivity and accuracy of monitoring of gas leakage safety.