111 results about "Chemical data" patented technology

Disclosed is a system and method for monitoring the breath chemistry of a patient's breath using a specially designed self-condensing sensor module mounted in a mask, nasal cannula, headband with boom apparatus, or similar device for directing the patients' breath towards the self-condensing sensor. Monitoring of a patient's breath pH provided by the miniaturized self-condensing pH sensor provides for real-time monitoring of patient airway pH values. The specially designed self-condensing sensor module incorporates a data transfer means, e.g. direct wiring or by providing a transmitter with an antenna for wireless transferring of the pH data to a processing receiver. The self-condensing pH sensor comprises a multi-tubular design with the outer tubular member housing a silver chloride reference element, an ion conducting path, and an antimony sensor plug isolated in an inner tubular member that is co-linearly or coaxially configured with the outer tubular member. A transmitter with an antenna transfers the observed pH data by employing one of many wireless methods, such as radio-frequency (RF) energy. Alternately, the transfer of observed pH data is accomplished by direct wire methods. The pH data is transferred or updated at specific intervals, which can be varied according to the patient's needs, to the processing receiver that is engaged to the treatment apparatus. In the therapeutic configuration, the processing receiver computes and diagnoses the breath chemistry data and determines at what frequency the treatment apparatus should be activated.

The invention concerns a method and a device for evaluating the integrity of the nuclear fuel in a nuclear plant having a reactor (1) enclosing a reactor core formed by a number of fuel cladding members (2) arranged to enclose said nuclear fuel. The value of each of a number of parameters including activity data (4) of the off-gases from the reactor is determined. The value of each of a number of second parameters including chemical data and activity data of the liquid (5) flowing through the reactor is determined. The value of each of a number of operational parameters (6) including at least one of the reactor effects, control rod position, actual fuel type, flow of off-gases, and flow of the liquid flowing through the reactor is determined. The value of the first and second parameters are standardized (7, 8) in relation to the values of said operational parameters. The standardized values and the values of the operational parameters are analysed (9-11) and the integrity of the fuel is estimated based on the analysis. The invention also comprises producing guidelines for the continuing operation of the plant with regard to said estimation.

The invention provides systems and methods for providing a unified single-scan user interface for accessing and managing a remotely located device throughout its life cycle, including cellular network provisioning, cloud data provider registration, initialization and activation, as well as providing end users with easy access to the device and its data. The end user simply powers the device on and the device automatically connects with the communication network and the cloud data provider. The device comes to the end user already provisioned and paired and activated with the cloud data provider and the communication network provider. The device is capable of monitoring operational and / or environmental parameters comprising physical and / or chemical data which may be monitored by a mobile device. The mobile device may also initiate modification of the manufactured device's parameters.

The invention discloses a method of analyzing cotton content of a textile based on an improved DBN near infrared spectrum. The method comprises the following steps: (1) collecting a sample and gathering the near infrared spectrum and the physical and chemical data of the near infrared spectrum; (2) pre-processing the acquired spectrum data to acquire pre-processed data; (3) establishing a quantitative analysis model by employing an improved deep brief network (DBN), and adjusting the network by means of a global learning algorithm to obtain the optimum textile cotton content quantitative analysis model; and (3) introducing the predicted data into the optimum textile cotton content quantitative analysis model for predicted analysis of the cotton content of the textile. The method disclosed by the invention can quickly determine the cotton content of the sample without loss, and applies the deep neural network into the field of detecting the cotton content of the near infrared spectrum textile, so that the detecting accuracy and reliability are improved.

The present invention provides a computer implemented method of generating new chemical compounds. The method includes preparing a data-driven substructure feature vector for each of a plurality of chemical compounds for which a chemical or physical property is known. The method further includes preparing a predefined component feature vector, creating a regression model to predict a target value for the chemical or physical property, and performing a search algorithm to identify substructure features that affect the target value for the chemical or physical property. The method further includes generating a candidate structure having the target value for the chemical or physical property, and synthesizing the candidate structure.

The invention provides a method for simultaneous determination of multiple nutrient compositions and antibiotic titer changes by using near infrared spectroscopy during a production process of antibiotics from microbial fermentation. The method comprises the following steps: spectrums of antibiotic (including aureomycin, terramycin, neomycin and other fermentation type antibiotics) fermentation liquor in different fermentation periods are acquired by using the near infrared spectroscopy technology; each acquired sample is detected by a chemical method, and physical and chemical data of multiple nutrient composition contents and antibiotic titer changes are obtained; the acquired near infrared spectrums as well as the physical and chemical data are fitted for establishing a model. After verification, the model is suitable for detecting nutrient composition contents and antibiotic titer changes in antibiotic fermentation liquor in different periods. The method is used for rapidly feeding back and understanding fermentation cases, timely carrying out nutrition supplement and process control, and monitoring antibiotic titer changes; the whole detection process is highly efficient and saving without pollution.

The embodiments of the invention disclose a spectral data analysis method and a spectral data analysis apparatus. The spectral data analysis method comprises: establishing a sample database, screeningthe neighboring spectral groups of a to-be-detected sample, carrying out dimension reduction on the neighboring spectral groups through cumulative contributing rate of principal component, determining target neighboring spectral groups according a Mahalanobis distance ratio, predicting the to-be-detected sample by selecting the target neighboring spectral group with the smallest relative prediction error as a training set sample, determining whether the representativeness of the sample database is sufficient, and adding the to-be-detected sample to the sample database if the representativeness of the sample database is insufficient. According to the present invention, the sample database is established by using the molecular spectroscopy technology, the optimal target neighboring spectralgroup is automatically selected from the sample database according to the spectral characteristics of the to-be-detected sample, the physical and chemical data of the to-be-detected sample is furtherpredicted, and the representativeness of the sample database is further determined, such that the automation of the spectral data analysis process and database update is achieved, the prediction accuracy is improved, the complicated work of manual establishing and model maintaining is eliminated, and the molecular spectroscopy technology is easily promoted and applied.

The invention relates to a route segment operation time calculation method based on clustering characteristics. The method for calculating the flight segment operation time based on the clustering characteristics comprises the following steps: obtaining a division result of resplitting a flight segment operation stage; Acquiring flight historical data; And for flight historical data of different flight segment operation stages, calculating flight segment operation time according to the clustering characteristics. The method comprises the following steps: firstly, obtaining flight historical data, resplitting the flight segment operation stages, carrying out clustering analysis by using the flight historical data, associating the flight historical data with time slices, determining the operation time of each stage according to the space-time characteristics of a clustering result, further obtaining comprehensive flight segment operation time, and providing a chemical data basis for thestrategy of air traffic flow management and a pre-tactical stage.

A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.

A method uses acousto-optic adjustable filter near infrared (AOTF-NIR) spectrum technique in quick qualitative analysis of proprietary Chinese medicine. Near infrared spectrum is combined with medicine informatics by AOTF-NIR spectrum technique and computer etc. NIR spectrum of correcting set samples is collected by AOTF near infrared spectrometer. Physical and chemical data of sample parameters is determined by conventional chemical analyzing apparatus. Based on function relationship formed between them, these spectrum data and parameters are associated by mathematics. Quantitative model is built by least-squares procedure (LSP) to analyze. Based on the invention, quick qualitative analysis for other proprietary Chinese medicine and on-line monitoring method in key segments of proprietary Chinese medicine production are realized, which advances research technique development of proprietary Chinese medicine.

An apparatus includes a housing having a treatment surface, a light source disposed adjacent the treatment surface and configured to emit dynamic photonic energy, a thermal element disposed adjacent the treatment surface and configured to emit dynamic thermal kinetic energy, and a controller disposed in the housing, the controller in communication with the light source and the thermal element to vary a plurality of parameters of the light source and the thermal element to control the characteristics of the dynamic photonic energy and the dynamic thermal kinetic energy emitted thereby. The treatment surface can also house a variety of sensors that can capture a variety of physical and chemical data, which is integrated with a malleable energy composition and delivery system that co-ordinates with the treatment progress.

The invention relates to a method for correcting zone geochemical data. The method comprises the following steps of collecting analysis values of measurement elements of various zones and amplitudes obtained by field geochemical sampling analysis, and systematically correcting the analysis value of each measurement element until isolines surrounding a subarea boundary does not exist in a drawn geochemical isoline map, so as to obtain field sampling point data subjected to primary correcting; assigning a value for each measurement element in a space position of known mineralizing information toform virtual sampling point data, and using new sampling point data consisting of the field sampling point data and the virtual sampling point data as the basis to perform secondary correcting untilspace positions of all the known mineralizing information have the abnormal display of geochemistry of related elements, thereby completing the data correcting. The method has the advantage that the secondary correcting is performed on the basis of a traditional correcting method, and the known mineralizing information exists on the abnormality of the related elements, so as to solve the problem of local mismatching between the known mineralizing information and abnormal information of the related geochemical elements.