Abstract: Methods and systems for selecting and executing optimal execution strategies for processes, wherein an optimal execution strategy may be selected from a plurality of execution strategies for example in a look-up table, based on specific process values.

Abstract: A database query processing system for blood donation tracking includes a database, a network interface circuit and a processing circuit. The database stores records for a plurality of blood donors, each record comprising an amount of a blood component the blood donor has donated. The processing circuit determines an amount of a blood component a first donor may donate based on records for a plurality of donations made by the first blood donor and based on a limit of an amount of blood component the donor may donate in a predetermined period of time. The processing circuit further receives a request for the amount of the blood component the first donor may donate and transmits the amount of the blood component the first donor may donate to the remote computing device.

Abstract: The disclosure describes techniques for detecting a crack or defect in a material.

Abstract: A compound property prediction method is provided for an electronic device. The method includes obtaining chemical structure information of a target compound, the chemical structure information including an atom and a chemical bond, modeling a chemical structure graph according to the chemical structure information, the chemical structure graph including a first node corresponding to the atom and a first edge corresponding to the chemical bond, constructing an original node feature of the first node and an original edge feature of the first edge, performing a message propagation on the first edge according to the original node feature of the first node and the original edge feature of the first edge to obtain propagation state information of the first edge, and predicting properties of the target compound according to the propagation state information of the first edge.

Abstract: The present disclosure relates to a system, an apparatus, and a method for managing health condition of at least one rotating system. The method includes receiving, by a processing unit, operational data associated with the rotating system in real-time, from one or more sensing units. The operational data includes parameter values corresponding to an operation of the rotating system. Further, a virtual replica of the rotating system is configured using the operational data. A behavior of the rotating system is simulated on a simulation instance of the rotating system based on the configured virtual replica. The simulation results are analyzed to determine an abnormality in the health condition of the rotating system. The abnormality corresponds to a health status of an internal component of the rotating system. Further, a notification indicating the abnormality is generated, on a Graphical User Interface.

Abstract: Provided are a basic data input unit to input basic data including molding conditions data related to molding conditions and screw data related to the form of the screw; a calculation formula data setting unit to set solid phase rate calculation formula data to calculate the solid phase rate of the molten resin in a heating cylinder based on this basic data; a calculation processing function unit having a solid phase rate calculation processing unit to use calculation processing based on the basic data and the solid phase rate calculation formula data to calculate an estimated solid phase rate of the molten resin at the measurement completion; and an output processing function unit that performs display processing to display information related to the estimated solid phase rate on a display.

Abstract: Taste and smell classification from multilanguage descriptions can be performed by extracting, by one or more processors using natural language processing, a text including one or more words associated with taste and smell perceptions from an input received from a plurality of users. The input includes multilanguage information regarding at least one of changes in smell and changes in taste perceived by each of the plurality of users. Feature vectors are generated for the text extracted from the input using global vectors, and a distance between the feature vectors and a plurality of reference descriptors associated with taste and smell is calculated for determining a similarity between the text and the reference descriptors and creating a training dataset based on which a classification model is generated for categorizing the plurality of users according to the at least one of changes in smell and changes in taste.

Abstract: A substrate processing control method in a substrate processing apparatus, includes: acquiring a data set for each substrate sequentially subjected to first and second processes at first and second levels, the data set including information specifying the first level at which the first process has been performed, information specifying the second level at which the second process has been performed and information about a characteristic amount relating to characteristics of the substrate; calculating information including an expected value of the characteristic amount, and level deviations of the first and second levels to the expected value based on the data set; and correcting the first parameter at the first level or the second parameter at the second level based on the calculated information.

Abstract: In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.

Abstract: A household product contains a fragrance composition, in which the fragrance composition contains from about 0.2 to less than 10% by weight of isopulegol, based on the total weight of the fragrance composition. A method for delivering a perceived cooling sensation in the air includes dispersing isopulegol into the air, or implementing the household product as the above.

Abstract: A method for executing multiple chemical experiments in parallel may be provided. The method comprises receiving a list of actions to be performed for synthesizing a chemical product. Thereby, the actions correspond to at least two chemical partial reactions and the list comprises a delimiter symbol separating two chemical partial reactions, determining identical chemical partial reactions, and building a reaction commonality tree (RCT) of the chemical reactions. Furthermore, the method comprises executing a plurality of the identical chemical partial reactions independent of a sequence of chemical partial reactions of the reaction commonality tree only once. Each of the identical chemical partial reactions is executed in a different chemical reactor and each resulting intermediate product has a quantity of the sum of the related identical chemical partial reactions.

Abstract: A soil analysis system is provided for an agricultural vehicle and includes a sensor apparatus, a controller, and a display device. The sensor apparatus includes a location sensor configured to determine a location of the agricultural vehicle; and an infrared sensor configured to collect infrared spectra from soil at the location. The controller is configured to determine a soil type based on the location; select at least one nutrient calibration curve based on the soil type at the location; analyze the infrared spectra according to the at least one nutrient calibration curve to generate at least one estimated nutrient value for the soil at the location; and generate display commands representing the at least one estimated nutrient value. The display device is configured to generate a first display representing the at least one estimated nutrient value based on the display commands.

Abstract: A system includes an array of chemical, pressure, and temperature sensors, and a temporal airflow modulator configured to provide sniffed vapors in a temporally-modulated sequence through a plurality of different air paths across multiple sensor locations.

Abstract: A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

Abstract: Techniques and apparatus for information assessment processes are described. In one embodiment, for example, a computer-implemented method for performing a review-by-exception process may include, via one or more processors of a computing device, accessing chromatography information generated via analyzing a sample using a mass spectrometry system, the chromatography information comprising at least one peak and at least one peak attribute for the at least one peak, determining posterior probability information for the chromatography information; generating an estimated peak model based on the posterior probability information, determining a confidence indicator for the estimated peak model, and generating an exception for the at least one peak responsive to the confidence indicator being outside of an exception threshold. Other embodiments are described.

Abstract: A non-destructive method for characterizing and monitoring the homogeneity of metal parts which are being manufactured by sintering and comprise several distinct zones. Laser radiation is applied successively to each zone and each sintered zone is analyzed simultaneously in real time by lock-in laser-active radiometry.

Abstract: A receiver (10) according to the present disclosure includes: a detection unit (11) including a sensor configured to receive a first optical signal of a wavelength included in an absorption band of water molecules and a second optical signal of a wavelength included in an absorption band of carbon dioxide molecules, a signal processing unit (12) configured to calculate a water vapor concentration and a carbon dioxide concentration from changes of intensities of the first and second optical signals, and a determination unit (13) configured to determine whether or not there is a fire that is caused by alcohol combustion based on the water vapor concentration and the carbon dioxide concentration.

Abstract: A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

Abstract: A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

Abstract: A method for determining properties of a coating on a transparent film, a method for manufacturing a capacitor film and a device configured to determine properties of a coating on a transparent film are disclosed. In an embodiment a method includes moving the transparent film with the coating on a path which passes between a light source and a sensor, illuminating, by the light source, the coating on the transparent film, detecting, by the sensor, an intensity of transmitted light from the light source and calculating, by a processor, the properties of the coating on the transparent film based on the detected intensity of transmitted light.

Abstract: Aspects of the technology described herein comprise a surrogate model for a chemical production process. A surrogate model is a machine learned model that uses a collection of inputs and outputs from a simulation of the chemical production process and/or actual production data as training data. Once trained, the surrogate model can estimate an output of a chemical production process given an input to the process. Surrogate models are not directly constrained by physical conditions in a plant. This can cause them to suggest optimized outputs that the not possible to produce in the real world. It is a significant challenge to train a surrogate model to only produce outputs that are possible. The technology described herein improves upon previous surrogate models by constraining the output of the surrogate model to outputs that are possible in the real world.

Abstract: A system for remote-controlling a spectrometer, which includes: at least one spectrometry device including a spectrometer and auxiliary modules, the spectrometry device being configured to measure spectrometry data on an object and/or a process; a control device configured to control the spectrometry device, the control device including an element for controlling the spectrometry device, an element for acquiring and processing the spectrometry data, and an element for remote communication; and at least one interface modules configured to communicate with the control device remotely. The remote-control device is configured to communicate with the interface module via Internet, and the spectrometry device is interchangeable. Also, a device for remote-controlling a spectrometry system that is configured to be used in a system for remote-controlling the spectrometer.

Abstract: A computer implemented system and process of analyzing real-time measurements of a one or more air quality sensors to provide an calculated estimate of airborne virus infection and air quality evaluation from current air quality measurements, advise those at risk, advise responsible parties of recommended actions to take, and in some embodiments take direct action in communication of instructions to air filtration and treatment equipment and HVAC systems to improve outside air flow, increase filtration, treat contaminated air and reduce humidity and reduce the risk of airborne virus transmission. Sensor data, calculated airborne infection risk, air quality, warnings and reports are created and distributed to network connected devices.

Abstract: Provided is a system and method for tuning an array of sensors to enable selection of the most suitable sensors for a target application. After extracting features from sensor raw data, the extracted features are ranked with gradient boosting decision trees to assign an importance value to each extracted feature. A threshold value for the entire set of extracted features is calculated and an importance score is calculated for the individual sensors of the array. Individual sensors with an importance score on or above the threshold value are selected for the target application.

Abstract: The present disclosure provides systems and methods for calibrating medical devices and processing physiological measurements using a medical device management system. As an example, the medical device can be a handheld glucometer configured for invasive testing and non-invasive testing of physiological parameters of a patient.

Abstract: The present disclosure includes discloses a method for analyzing a multi-component gas sample using spectroscopy in combination with the measurement of extrinsic or intrinsic properties of the gas sample. The results of the spectroscopic analysis and the measurement are combined to quantify a gas component unseen by the spectroscopic analysis.

Abstract: A system includes an array of chemical, pressure, and temperature sensors, and a temporal airflow modulator configured to provide sniffed vapors in a temporally-modulated sequence through a plurality of different air paths across multiple sensor locations.

Abstract: A non-transitory computer-readable recording medium stores a learning program that causes a computer to execute a machine learning process for graph data. The machine learning process includes: generating, from graph data to be subjected to learning, extended graph data where at least some of nodes included in the graph data have a value of the nodes and a value corresponding to presence or absence of an indefinite element at the nodes; and obtaining input tensor data by performing tensor decomposition of the generated extended graph data, performing deep learning with a neural network by inputting the input tensor data into the neural network upon deep learning, and learning a method of the tensor decomposition.

Abstract: Described are techniques for anomaly detection including a method comprising sorting a univariate data set in an numeric order and generating a second univariate data set based on the sorted univariate data set, where respective elements in the second univariate data set correspond to respective differences between consecutive elements in the sorted univariate data set. The method further comprises sorting the second univariate data set in numeric order and generating a third univariate data set that includes index values corresponding to respective differences in the sorted second univariate data set that are above a threshold. The method further comprises modifying the third univariate data set and defining a set of clusters based on the modified third univariate data set. The method further comprises clustering the sorted univariate data set according to the set of clusters and characterizing a new data point as anomalous in response to the clustering.

Abstract: Methods that can provide filtered sets of sensor data are provided. One method includes generating, by a processor from a set of raw data generated by a set of sensors, a set of sensor data for a user and filtering, by the processor, the received set of sensor data based on a permission of a plurality of permissions selected by the user prior to receipt of the set of raw sensor data from the set of sensors. The method further includes automatedly providing, by the processor, the filtered set of sensor data to a set of external entities. Systems and apparatus that can include, perform, and/or implement the methods are also provided.

Abstract: Disclosed herein is a method of characterizing particles in a sample. The method comprises illuminating the sample in a sample cell with a light beam, so as to produce scattered light by the interaction of the light beam with the sample; obtaining a time series of measurements of the scattered light from a single detector; determining, from the time series of measurements from the single detector, which measurements were taken at times when a large particle was contributing to the scattered light; determining a particle size distribution, including correcting for light scattered by the large particle.

Abstract: Systems and methods for determining performance properties of an unknown composition are disclosed. The performance properties can include a Research Octane Number (RON), a Motor Octane Number (MON), and/or a cetane number. The systems and methods include utilizing an optical spectrum of an unknown composition to determine a model of composition, where the model of composition includes a molecular identity and a relative abundance for components therein. The model of composition is then utilized to calculate one or more performance properties. Additionally, the fit quality for the model of composition is determined by performing a partial least squares analysis on specific spectral regions of interest in the optical spectra of the unknown composition.

Abstract: The disclosed embodiments determine a plurality of anomaly indications for a plurality of corresponding time series. A multi-modal model is defined for each time series. A first distribution is compared against a time series when the time series values fall within a first range and a second distribution is compared against the time series when the time series values fall with a second range. Based on the comparison, an indication of anomaly is generated for the time series. The indicators of anomaly for each time series are then combined using Fisher's method in some embodiments. The resulting combined anomaly indication is used to determine whether a network is experiencing a brute force attack.

Abstract: A system, apparatus, and/or method is disclosed for producing a personal care product. An identity of a considered chemical composition may be input into a model (e.g., a machine learning model). The identity of the considered chemical composition may include ingredients. Each of the ingredients of the considered chemical composition may be associated with a value of a chemoinformatic property of chemoinformatic properties of the considered chemical composition. A value of the property of the considered chemical composition may be determined via the model. The value may be based on the identity of the considered chemical composition. The property of the considered chemical composition may be affected by an interaction of at least two of the ingredients of the considered chemical composition. A personal care product comprised of the considered chemical composition may be produced.

Abstract: Implementations of the present specification provide article damage evaluation methods and apparatuses. In one aspect, the method includes: determining, by a terminal device, that a photographing device is in an active state; responsive to determining that the photographing device is in the active state, identifying, from a field of view of the photographing device, a particular surface region of the article that encompasses the damage to the article; obtaining an image of the particular surface region using the photographing device; determining surface structure information and surface material information of the surface region of the article using one or more infrared emitters and one or more infrared receivers; and generating, from the image, the surface structure information, and the surface material information, and based on a predetermined damage evaluation model, an output specifying a degree of the damage to the article.

Abstract: Systems and methods of testing the health of vehicular power devices are disclosed herein. A method may include producing operating points as a function of cycling current (Ids) and voltage drain to source (Vds) when a subject device is conducting current. The method may further include determining a mean of moving distribution to adapt a center of the moving distribution contrasted with a plurality of known healthy devices. The method may also include indicating an imminent fault in the subject device based upon a discontinuity among operating points above a threshold.

Abstract: A gas absorption spectrum measuring system, including a light source, a light source controller, a light intensity detector and a computing module is provided. The light source emits a light. The light source controller regulates a wavelength of the light. The light intensity detector detects an intensity of the light which is generated by the light source and passes through at least one target gas. The computing module includes a numerical processor and a storage unit. The storage unit stores a spectral database. The numerical processor fits an absorption spectrum of the at least one target gas and a standard spectrum in the spectral database, performs a similarity comparison operation to obtain a temperature and a pressure of the at least one target gas with a minimum residual value, and determines a species concentration of the at least one target gas according to the minimum residual value.

Abstract: A portable item reporting device automatically learns a use of a portable item which is selected by an authorized user of the portable item, where the device is configured to be attached to and in substantial collocation with the selected portable item, or to be integrated into the portable item. The portable item reporting device monitors item location, item movement, and/or other environmental factors. The portable item reporting device detects and analyzes environmental data during usage of the portable item by the authorized user, or during user-designated storage of the portable item in a storage location. The device further identifies and/or learns, based on the detected enviromental data, one or more repeated patterns and/or context-determined patterns of usage or physical storage of the user's portable item. The device then stores the past, learned pattern(s) of usage data as indicative of expected and/or normal, future use/storage by the authorized user of the portable item.

Abstract: A method for managing flow of particles into an array of pairwise-point-interaction-module includes receiving a first set of particles into a first queue. The first set is a proper subset of a second set of particles that comprises all particles that are to be passed into an array of pairwise-point-interaction-modules during a current time period. Prior to having received all particles from the second set, particles from the first set are allowed to pass from the first queue into the array.

Abstract: A computer-implemented method including: receiving a set of data from a battery, the set of data including battery voltage and current data obtained over a period of time; preparing a plurality of subsets of the set of data, wherein each subset corresponds to a subperiod of the period of time; determining a state of health of the battery versus time by fitting a battery model to the subsets, where the parameters of the battery model include a state of charge of the battery at a particular point of time in each subperiod and the state of health, wherein the time dependence of the state of health is controlled thereby limiting the magnitude of the temporal rate of change of the state of health; and providing an alert in response to the state of health meeting a particular criterion.

Abstract: A gas chromatography instrument comprising a first autoinjector in communication with a first column, a second autoinjector in communication with a second column, a first flame ionization detector in communication with the first column, a second flame ionization detector in communication with the second column, wherein the first column is housed in a first compartment and the second column is housed in a second compartment.

Abstract: A system and a method are disclosed that, in an embodiment, receive first input from a user of a candidate formulation recipe, and second input from the user of target properties and target property constraints. The system inputs the first input into a machine learning model, the model having been trained using historical training data, each element of the historical training data corresponding to a known formulation having a known feature representation, each known formulation having associated properties and statistical representations of each feature of the known formulation that form the known feature representation. The system receives as output from the model a predicted property of a candidate formulation derived using the first input and the likelihood that the candidate formulation satisfies the target property constraints using the second input. The system generates for display to the user a predicted likelihood that the predicted property satisfies the second input.

Abstract: A transfer robot system includes a transfer robot configured to transfer a wafer under an operational instruction; a controller configured to output the operational instruction to the transfer robot; a wafer receptacle; and an interferometer. The wafer receptacle comprises a receptacle body having an open front through which an end effector and the wafer pass; a first reflector disposed under a support space; and a first optical element disposed above the support space to face the first reflector, configured to output the light toward the first reflector and receive received light therefrom. The interferometer calculates an optical interference peak, which is generated between the wafer and the first reflector, based on the received light. The controller determines a taught position of the transfer robot based on a variation of the optical interference peak during an operation of the transfer robot.

Abstract: Provided is a transmission coil which can inhibit reduction in transmission efficiency during underwater non-contact electric power transmission. A transmission coil configured to transmit electric power in water includes an annular electric wire through which an alternating current flows, and a first cover which includes non-conductive resin or non-magnetic resin and seals a periphery of the electric wire. The electric wire transmits the electric power via a magnetic field generated by flowing of the alternating current.

Abstract: Suggested is a method for identifying fragrance compounds with low environmental impact and high degree of sustainability encompassing the following steps: (a) providing a fragrance compound or a fragrance composition of interest; (b) calculating scores for each of the following parameters (b1) biodegradability; (b2) biodiversity; (b3) carbon dioxide impact; (b4) process safety with regard to ecological toxicity; (b5) process safety with regard to human toxicity; (b6) land use; (b7) renewability; (b8) traceability; (b9) waste generation; and (b10) water consumption and/or pollution, (c) summing up all scores and calculate the average product sustainability score (PSC); and (d) proceed with those candidates showing a PSC of at least 70.

Abstract: A system and a method are provided for calculating the cetane number, pour point, cloud point, aniline point, aromaticity, and/or octane number of a crude oil and its fractions from the density and fluorescence spectroscopy of a sample of the crude oil.

Abstract: An apparatus and method for quantitatively sensing and analyzing a concentration of biomolecules using Raman peak shift are disclosed. The quantitative molecular sensing apparatus includes an illumination optical system including a light source configured to irradiate excitation light onto an object, a detection optical system including an optical detector configured to detect light scattered from the object, and a signal processor configured to analyze properties of the object based on signal output by the detection optical system and to calculate a concentration of target molecules in the object based on a Raman peak shift value over a predetermined time period.

Abstract: A process for manufacturing a thermoelectric material having a plurality of grains and grain boundaries. The process includes determining a material composition to be investigated for the thermoelectric material and then determining a range of values of grain size and/or grain boundary barrier height obtainable for the material composition using current state of the art manufacturing techniques. Thereafter, a range of figure of merit values for the material composition is determined as a function of the range of values of grain size and/or grain boundary barrier height. And finally, a thermoelectric material having the determined material composition and an average grain size and grain boundary barrier height corresponding to the maximum range of figure of merit values is manufactured.

Abstract: The invention is an iterative method for acquiring a spectrum of a particle that is subjected to an illumination. It may in particular be a Raman spectrum. The method includes successively acquiring spectra that are what are called elementary spectra. These elementary spectra are combined to form a combined spectrum, which may be obtained by summing said elementary spectra. With each elementary spectrum is associated an acceptance criterion that is representative of a variation between said elementary spectrum and the elementary spectra acquired beforehand. Depending on this acceptance criterion, the elementary spectrum is either rejected, or accepted, in which case it is added to the combined spectrum. The invention makes it possible to guard against a degradation of the particle under the effect of an excessive exposure to said illumination.

Abstract: The present disclosure provides a method for predicting a fluid type, comprising sensing, by a first sensor, mass flow data of a fluid in an engine, wherein the first sensor operates based on a first fluid property; sensing, by a second sensor, mass flow data of the fluid, wherein the second sensor operates based on a second fluid property; and detecting, by a logic circuit of a controller, a percent difference in the mass flow data provided by the first and second sensors, the percent difference indicating that the fluid is comprised of at least a first fluid type.