111 results about "Chemical data" patented technology

This invention provides a process and system for a comprehensive surgical assist system, called a Therapy Imaging and Model Management System (TIMMS), which combines and integrates all of the necessary information and communication technology; workflow analysis, data processing and data synthesis; interactive interfaces between surgeon and mechatronic devices; and, cognitive agents; to provide comprehensive assistance and guidance throughout complex medical and surgical therapies, such as image guided surgery. The components of this invention, which are modular, scalable and may be distributed in location, act synergistically to provide functionality and utility that exceeds the sum of its individual parts.A method of performing surgery on a patient comprising the step of comparing a chosen patient's data to statistical data in a repository of patient data to develop a patient specific model, wherein the data comprises information from two or more sub databases selected from the group consisting of workflow data, electronic medical records, diagnostic data, biological data, measurement data, anatomical data, physiological data, genetic data, molecular data, imaging data, chemical data, clinical laboratory data, simulated data, coordinate data and surgical result and wherein the patient specific model aids in the preoperative, operative or post operative phase of surgery performed in real time on the patient.

The invention relates to a system and method for support of chemical data within multi-relational ontologies. The system may enable entry, storage, manipulation, search, and use of chemical structures within one or more multi-relational ontologies.

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 relates to a method for representation and factor recognition of common carbonate rock diagenesis fabric features. The method includes the following steps that rock cores are observed, sampled and flaked; the diagenesis fabric types and periods of samples are determined under a microscope, and a petrology chart is formed; single-period diagenesis fabric is sampled or flakes are ground; multiple kinds of geochemical analysis is conducted on the diagenesis fabric, and then geochemical data are generated; the geochemical data are collected, a chart is drawn according to the data, and a geochemical chart is formed; based on the geological backgrounds of the samples, the petrology chart and the geochemical chart of the samples are comprehensively analyzed, and then the factors of the samples are reasonably explained. According to the method, the single-period diagenesis fabric serves as an experimental analysis unit, multiple kinds of experimental analysis is conducted on the single-period diagenesis fabric, and the method has the advantages that blindness of traditional total rock analysis is avoided, the purpose that carbonate rock diagenesis is objectively represented is achieved, and the result obtained based on petrology data and multiple geochemical data is more reliable.

Systems and methods are described that provide regulatory data associated with chemical products. Methods and systems are provided for identifying constituents of the chemical products and for obtaining regulatory data and other information associated with the chemical products. Regulatory data and other chemical data can be obtained from various sources, including government agencies and other regulatory authorities in plural jurisdictions, states and countries. Included in the regulatory data is information that governs handling, shipping, selling, storing, use and disposal of the chemical products. Systems and methods are described that provide improved and automate access to relevant regulatory data.

The invention provides a system for performing full life cycle supervision on dangerous chemicals. The system comprises a dangerous chemical data management system, a comprehensive safety informationinquiry and statistics system, a dangerous chemical transport flow tracking and early warning system, a dangerous chemical enterprise purchase, sale, use and abandonment tracking and early warning system, a dangerous chemical cooperative safety supervision system, a dangerous chemical cooperative emergency rescue system and a dangerous chemical big data analysis and mining system. Full life cyclemonitoring of the process of use, storage, production and abandonment of the dangerous chemicals can be realized, full life cycle monitoring, emergency resources, real-time monitoring, model early warning and emergency disposal are combined together through the full life cycle supervision chain and the available enterprises, the internal of things, the government and other resources are linked sothat the objectives of state monitoring, advance preparation, hidden danger elimination and timely emergency disposal can be realized.

The invention discloses an emergency system for atmospheric environmental risks. The system comprises input equipment, output equipment, a processor and a database, wherein the processor is connected with the input equipment, the output equipment and the database in an information technology way; the database comprises a climate and weather database, a chemical database, a geographic information database and an atmospheric prediction model database; and the processor displays the atmospheric environmental risks of hazardous substances on a geographic information system (GIS) map according to climate and weather data, chemical data, geographic information data, an atmospheric prediction model and input hazardous substance leakage data. The emergency system provides decision support for accident emergency rescue based on an information technology by comprehensively utilizing high and new scientific and technical means such as a geographic information system, real-time weather forecasting, networks, multimedia and the like, utilizing an atmospheric diffusion prediction technology and combining a modern environmental risk management theory.

A method of extracting and then reusing / remodeling chemical data from a hand written or digital input image without manual inputs using Chemical Structure Recognition Tool (CSRT) is disclosed herein. It comprises loading said input image, converting said input image into a grayscale image i.e. stretching of loaded input image, converting said grayscale image into a binary image i.e. binarisation, smoothing to reduce noise within said binary image, recognizing circle bond to identify presence of a circle inside a ring, predicting OCR region to find zones containing text, image thinning to identify specific shapes within said binary image, edge detection to detect image contrast, detecting double and triple bond, and obtaining output files.

The invention provides a geochemical data element sequence structure analysis method and device, and relates to the technical field of geochemical data processing. The method includes the steps: acquiring element measuring values of geochemical data of a geologic body, and preprocessing the element measuring values to generate unified dimensional element data; performing optimal ordering of a geochemical element for the unified dimensional element data by the aid of a first preset rule to generate an optimal sequence curve of the geochemical element (also known as an element gene spectrum curve); determining sequence structure characteristics of the geochemical element of the geologic body according to the optimal sequence curve of the geochemical element. Geochemical data are analyzed by the aid of information of multiple elements, association and combination information between multiple elements are considered, sequence element information of rock forming and ore forming under the geologic actions can be completely excavated, and systematization of geochemical action is taken into full consideration.

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 maximum information entropy-based chemical data stream real-time abnormity detection method. According to the method, a real-time clustering algorithm DSC-Stream (The Dimension Space Cluster-Stream) is used; a data dimension space is used as a starting point to divide the data dimension space into a plurality of dimension clusters according to the maximum entropy principle; the data in the same dimension cluster forms a micro cluster so as to realize the real-time clustering of the data streams; the algorithm can be used for effectively decreasing the quantity of the invalid grids generated in the traditional density grid algorithm so as to greatly improve the operational efficiency; meanwhile, through a method for setting dimension cluster similarity, the algorithm can be used for effectively solving the problem that the traditional density algorithm is sensitive to the scanning radius and the density threshold to cause poor robustness and can be better adapted to the stream data.

The invention discloses a method and an instrument system for material analysis. Front-end equipment samples a detected material to acquire the physical and chemical data, curves or images of the detected material; the front-end equipment digitizes and compacts the physical and chemical data, curves or images; the front-end equipment transmits the digitized physical and chemical data, curves or images to a network central server through a network; the network central server analyze the digitized physical and chemical data, curves or images and acquires an analysis result; the network central server transmits the analysis result to the front-end equipment through the network; and the front-end equipment displays or releases the analysis result. According to the technical scheme of the invention, the analysis and processing level and capacity of a material analysis apparatus are improved, the cost of each material analysis apparatus is reduced, and the operation of the material analysis apparatus is extremely simple.

In a system and method for viewing and screening data from multiple analysis instruments in a single display, a display device coupled to a processor, displays a universal browser window. The browser window includes a first portion and a second portion. A memory also coupled to the processor, has stored therein a software program including instructions for execution by the processor. The software program includes instructions for saving a first set of data relating to a first batch of sample(s) from a first analysis instrument in a first format, saving a second set of data relating to the first sample from a second analysis instrument in the first format, combining the first set of data and the second set of data into a first file, storing the first file in the memory, displaying the first set of data in the first portion of the universal browser window, and displaying the second set of data in the second portion of the universal browser window in conjunction with the display of the first set of data in the first portion of the browser window.

A method of recovering a liquid hydrocarbon using an injectate includes recovering the liquid hydrocarbon through primary extraction. Physico-chemical data representative of electrostatic interactions between the liquid hydrocarbon and the reservoir rock are measured. At least one additive of the injectate is selected based on the physico-chemical data. The method includes recovering the liquid hydrocarbon from the reservoir rock through secondary extraction using the injectate.

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 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 discloses a complex multi-aquifer mine water inrush source identification method, which comprises the following steps: S1, establishing a mine water source database according to water chemical data of a known aquifer water sample; S2, taking the data subjected to data inspection and abnormal value processing as a modeling sample; S3, determining an identification index and a threshold value thereof, and judging the effectiveness of the identification index in the preliminary identification model by adopting back-substitution inspection; S4, according to the effective identification index and the Fisher identification method, establishing a comprehensive-stepwise identification method model; and S5, determining the identification index of the water sample to be determined, anddetermining and identifying the type of the water source through a comprehensive-stepwise identification method model. The method has the advantages that a characteristic ion contrast method, an ionproportionality coefficient method, a Fisher recognition method and the like are comprehensively adopted, different methods are adopted for water source recognition of different water-bearing layers,the method is simple and then complex, and mine water source types with complex hydrogeological conditions and more water-filled water-bearing layers are judged step by step.

The invention relates to a volcanic rock type uranium mine target optimization method based on element geochemical abnormity. The method sequentially comprises steps of: 1), acquiring or collecting element geochemical data; 2), making a single-element geochemical abnormity graph; 3), carrying out mine point projection conversion; 4), indicating element screening; 5), making a thorium-to-uranium ratio geochemical equivalence graph; 6), making a uranium element, auxiliary indication element and thorium-to-uranium ratio geochemical abnormity graph and carrying out projection conversion; 7), determining an abnormity state; and 8), determining a grade of a uranium metallogenic distant-view target area. The volcanic rock type uranium mine target optimization method is suitable for multiple volcanic rock type metallogenic strips and prediction areas in the national scope, has properties of wide coverage scope, high efficiency, strong practicality and good accuracy, further has properties of clear indication elements, strong operationality and standard evaluation method flow, improves evaluation efficiency and guarantees objectivity of the research result.

With the SVM gradient analysis, building a technique process to determine former correlation; then, finding out the correlated parameters to sense index, and creating the detection sample. This invention can provide quantitative analysis data for quality evaluation and level partition.

The invention relates to a carbonaceous-siliceous-argillitic rock type uranium deposit target region optimization method based on elemental geochemical anomaly, comprising the following steps: 1) acquisition or collection of elemental geochemical data; 2) compilation of a single elemental geochemical anomaly chart; 3) ore spot projection transformation; 4) indicator element screening; 5) compilation of uranium (uranium is selected in granite-exposed areas) and ancillary indicator element geochemical anomaly charts and projection transformation; 6) judgment of abnormal forms; and 7) judgment of the level of uranium metallogenic prospect target regions. The method is suitable for multiple carbonaceous-siliceous-argillitic rock type metallogenic belts and predication areas nationwide, and has advantages of wide coverage, high effectiveness, high applicability and good accuracy. The method has clear indicator elements and has high operationality. Evaluation methodology procedures are standardized; evaluation efficiency is raised; and objectivity of research results is guaranteed.

The invention relates to a power station boiler heating surface SA210C steel material state evaluation method. Association between normal-temperature physical and chemical data and high-temperature creep data is established by associating room-temperature physical and chemical feature parameters and range, the high-temperature creep performance can be directly queried and called when the normal-temperature physical and chemical properties of a heating surface to be evaluated are matched with the associated feature parameters and range, therefore, repeated high-temperature creep performance testing is avoided, and the evaluation timeliness is improved. Meanwhile, localized creep damage mechanics and a multiaxial stress theory are adopted, an improved creep damage constitutive equation (that is, an improved K-R equation) under multiaxial stress is obtained, a creep critical damage value is obtained through data fitting according to the called high-temperature creep property data, therefore, a data standard is provided for heating surface state evaluation, and the evaluation accuracy is improved.

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.

In various embodiments of the present invention, initial experimental data is initially partitioned into classes by sample source, concentration or number-of-molecule values are computed with respect to each initial partition, and a rank consistency score or fold-change consistency score is computed for various molecular concentration or number-of-copies determinants with respect to one or more class-specifying events of interest. In other words, rather than partitioning experimental data directly into two or more classes relative to an event of interest, the experimental data is first partitioned according to sample source, and then each sample-source partition is partitioned into two or more classes relative to an event of interest.

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.