G01N2021/3595

Air quality monitoring system and method

In one illustrative configuration, an air quality monitoring system may enable wide-scale deployment of multiple air quality monitors with high-confidence and actionable data is provided. Further, the air quality monitoring system may enable identifying a target emission from a plurality of potential sources at a site based on simulating plume models. The simulation of plume models may take into consideration various simulation parameters including wind speed and direction. Further, methods of determining a plume flux of a plume of emissions at a site, and methods of transmitting data from an air quality monitor are disclosed.

Aviation fuel

A method of determining one or more fuel characteristics of an aviation fuel for powering a gas turbine engine of an aircraft includes: measuring one or more trace substance parameters of the fuel, the one or more trace substance parameters each associated with a respective trace substance in the fuel; and determining one or more fuel characteristics of the fuel based on the one or more trace substance parameters. Further, a fuel characteristic determination system, a method of operating an aircraft, and an aircraft.

EFFECTIVE CELL APPROXIMATION MODEL FOR LOGIC STRUCTURES
20220357286 · 2022-11-10 ·

Characteristics of a standard logic cell, e.g., a random logic cell, are determined using an effective cell approximation. The effective cell approximation is smaller than the standard logic cell and represents the density of lines and spaces of the standard logic cell. The effective cell approximation may be produced based on a selected area from the standard logic cell and include the same non-periodic patterns as the selected area. The effective cell approximation, alternatively, may represent non-periodic patterns in the standard logic cell using periodic patterns having a same density of lines and spaces as found in the standard logic cell. A structure on the sample, such as a logic cell or a metrology target produced based on the effective cell approximation is measured to acquire data, which is compared to the data for the effective cell approximation to determine a characteristic of the standard logic cell.

PROTEIN SECONDARY STRUCTURE PREDICTION

An artificial intelligence model receives a FTIR spectrum of a given ingredient to predict its protein secondary structure. The model includes three artificial modules, which generate three predicted values corresponding to structural categories (e.g., α-helix, β-sheet, and other) of the predicted secondary structure. Proteins may be compared for similarity based on predicted values corresponding to the structural categories of the predicted secondary structure.

Real time monitoring of substance concentration, particularly of ammonia, in fish ponds and like environments

Apparatus and method for detecting a dissolved gaseous impurity in an aqueous environment, comprises a tube for isolating liquid surface, or a sampler for obtaining a liquid sample from the aqueous environment, a vacuum pump located to exert a vacuum, leaving the surface to evaporate into the vacuum; and a holding compartment for holding evaporated gas which may then be analyzed using electrochemical or spectroscopic methods. The apparatus is useful for detecting levels of ammonia in fish ponds or indeed any impurity that may be dissolved in the water.

METHOD AND SYSTEM FOR SPECTROSCOPIC PREDICTION OF SUBSURFACE PROPERTIES USING MACHINE LEARNING
20220351037 · 2022-11-03 ·

A computer-implemented method includes: accessing a plurality of geo-exploration data from a first drilling site, wherein the plurality of geo-exploration data include spectroscopic infra-red (IR) data and well logs, wherein at least portions of the plurality of geo-exploration data are based on measurements of core samples taken from the first drilling site; based on, at least in part, the plurality of geo-exploration data, training a set of deep learning models, each deep learning model comprising multiple layers and configured to predict one or more geological formation properties; applying the set of deep learning models to newly received geo-exploration data that also includes spectroscopic IR data; and predicting the one or more geological formation properties based on, at least in part, the newly received geo-exploration data.

IN-SITU MONITORING OF CHEMICAL FINGERPRINTS IN OILFIELD APPLICATIONS

A system for monitoring a composition includes: an electromagnetic source that emits a beam; one or more evanescent field sensing element inside a tubular structure, arranged in series along a flow direction of the composition, and configured to be in direct contact with the composition; a waveguide that directs at least a portion of the beam to the evanescent field sensing element as an incident beam; and a detector configured to obtain a spectral distribution of the fingerprint beam. The evanescent field sensing element provides partial or total internal reflection of the incident beam at an interface between the evanescent field sensing element and the composition, and the incident beam interacts with the composition to form a fingerprint beam.

Apparatus and method for detecting phase changes in a fluid using spectral recognition
11614400 · 2023-03-28 ·

Systems and methods are described, and one method includes providing an optical fiber extending into a chamber with a volume of the gas; passing an optical beam, from an optical source, through the optical fiber; applying a spectral analysis to the optical beam as received after passing through the optical fiber, and outputting a corresponding spectral analysis signal; and determining, based on the output spectral analysis signal, whether a liquid is carried by the volume of the gas.

Optical module

An optical module includes a base which has a main surface and in which a mounting region and a driving region for moving the mounting region along a first direction parallel to the main surface are provided, a movable mirror which has a mirror surface having a positional relationship of intersecting the main surface and is mounted in the mounting region, a first fixed mirror which has a mirror surface having a positional relationship of intersecting the main surface and of which a position with respect to the base is fixed, and a beam splitter unit which constitutes a first interference optical system for measurement light together with the movable mirror and the first fixed mirror. The mirror surface of the movable mirror and the mirror surface of the first fixed mirror are directed to one side in the first direction.

System And Method For Characterizing Particulates In A Fluid Sample

A system for characterizing at least one particle from a fluid sample is disclosed. The system includes a filter disposed upstream of an outlet, and a luminaire configured to illuminate the at least one particle at an oblique angle. An imaging device is configured to capture and process images of the illuminated at least one particle as it rests on the filter for characterizing the at least one particle. A system for characterizing at least one particle using bright field illumination is also disclosed. A method for characterizing particulates in a fluid sample using at least one of oblique angle and bright field illumination is also disclosed.