377 results about "Composition analysis" patented technology

The invention provides methods and apparatus for detecting radiation including x-ray photon (including gamma ray photon) and particle radiation for radiographic imaging (including conventional CT and radiation therapy portal and CT), nuclear medicine, material composition analysis, container inspection, mine detection, remediation, high energy physics, and astronomy. This invention provides novel face-on, edge-on, edge-on sub-aperture resolution (SAR), and face-on SAR scintillator detectors, designs and systems for enhanced slit and slot scan radiographic imaging suitable for medical, industrial, Homeland Security, and scientific applications. Some of these detector designs are readily extended for use as area detectors, including cross-coupled arrays, gas detectors, and Compton gamma cameras. Energy integration, photon counting, and limited energy resolution readout capabilities are described. Continuous slit and slot designs as well as sub-slit and sub-slot geometries are described, permitting the use of modular detectors.

The present invention provides compositions, kits and methods for rapid identification and quantification of adventitious contaminant viruses by molecular mass and base composition analysis.

The present invention provides compositions, kits and methods for rapid identification and quantification of adenoviruses by molecular mass and base composition analysis.

The present invention is a method and system for analyzing shopping behavior by associating RFID data, such as tracking data by the RFID tag identifications, with video-based behavior and segmentation data, such as behavior analysis and demographic composition analysis of the customers, utilizing a plurality of means for sensing and using RFID tags, a plurality of means for capturing images, and a plurality of computer vision technologies. In the present invention, the association can further comprise the association of the RFID with the transaction data or any time-based measurement in the retail space. The analyzed shopping behavior in the present invention helps people to better understand business elements in a retail space. It is one of the objectives of the present invention to provide an automatic video-based segmentation of customers in the association with the RFID based tracking of the customers, based on a novel usage of a plurality of means for capturing images and a plurality of computer vision technologies on the captured visual information of the people in the retail space. The plurality of computer vision technologies can comprise face detection, person tracking, body parts detection, and demographic classification of the people, on the captured visual information of the people in the retail space.

The invention provides methods and apparatus for detecting radiation including x-ray, gamma ray, and particle radiation for nuclear medicine, radiopaphic imaging, material composition analysis, high energy physics, container inspection, mine detection and astronomy. The invention provides detection systems employing one or more detector modules (102) comprising edge-on scintillator detectors (101) with sub-aperture resolution (SAR) capability employed, e.g., in nuclear medicine, such as radiation therapy portal imaging, nuclear remediation, mine detection, container inspection, and high energy physics and astronomy. The invention also provides edge-on imaging probe detectors for use in nuclear medicine, such as radiation therapy portal imaging, or for use in nuclear remediation, mine detection, container inspection, and high energy physics and astronomy.

A method for pelletizing and taking intensive measurements of a raw sample is disclosed. The method includes homogenizing and pelletizing the sample that is to be subjected to compositional or intensive analysis. The raw sample is mixed with several solutions containing epoxies and activators based in carrier solutions or solvents, and ground to a fine powder or gel. The gel is partially dried and conformed to a pellet shape. The pellet is then cured such that the epoxy and activator solutions react and form a binding agent capable of maintaining the structural integrity of the sample pellet during intensive analysis. An intensive analysis instrument, such as LIBS, may then be used to ablate the surface of the pellet. The pellet provides consistent ablation of the sample material for accurate intensive measurements.

Methods and apparatus for analyzing a hydrocarbon mixture are disclosed, comprising at least one light-emitting diode (LED) and at least one photodetector positioned to detect energy transmitted by the LED through a sample of the hydrocarbon mixture. In at least one embodiment an optical filter is coupled to the output of the LED to mitigate the adverse effects of the LED's sensitivity to temperature.

A method and apparatus for detecting radiation including x-ray, gamma ray, and particle radiation for radiographic imaging, and nuclear medicine and x-ray mammography in particular, and material composition analysis are described. A detection system employs fixed or configurable arrays of one or more detector modules comprising detector arrays which may be electronically manipulated through a computer system. The detection system, by providing the ability for electronic manipulation, permits adaptive imaging. Detector array configurations include familiar geometries, including slit, slot, plane, open box, and ring configurations, and customized configurations, including wearable detector arrays, that are customized to the shape of the patient. Conventional, such as attenuating, rigid geometry, and unconventional collimators, such as x-ray optic, configurable, Compton scatter modules, can be selectively employed with detector modules and radiation sources. The components of the imaging chain can be calibrated or corrected using processes of the invention. X-ray mammography and scintimammography are enhanced by utilizing sectional compression and related imaging techniques.

The present invention provides compositions, kits and methods for rapid identification and quantification of bacteria by molecular mass and base composition analysis.

An inspection method and an inspection device, or apparatus each capable of conducting composition analysis of a defect detected by elastic or stokes scattered light, an inspection surface or defect on the surface of the inspection surface, or a defect on the surface of the inspection object and its internal composition. A surface inspection method for optically detecting elastic or stokes scattering or inelastic or anti-stokes scattered light from inside the surface of the inspection object, for detecting existence of defects of the inspection object and features of the defects, for detecting positions of the detected defects on the surface of the inspection object, classifying and analyzing the detected defects in accordance with their features on the basis of the positions of the defects and the features of the defects or the classification result of the defects.

The invention discloses a characteristics analysis and forecast method for blast furnace molten iron silicon content. Blast furnace technological parameters in a forecast module for blast furnace molten iron silicon content are deemed as input variables; after exponential weight mobile average filtration and normalized pre-process for sample data of the input variables, the invention can use an improved dynamic separate composition analysis method for conducting characteristic extraction for the sample data of the input variables, so as to eliminate relevance between production technological parameters; a dynamic recurrence module for forecast of the blast furnace molten iron silicon content is established using the least square support vector machine arithmetic, so as to bring in a genetic arithmetic to optimize module parameters. The invention has common universality for molten iron silicon content forecast in blast furnace smelting process, so as to gain rather good forecast accuracy and improve the forecast hit ratio for blast furnace molten iron silicon content.

A thin film analysis system includes multi-technique analysis capability. Grazing incidence x-ray reflectometry (GXR) can be combined with x-ray fluorescence (XRF) using wavelength-dispersive x-ray spectrometry (WDX) detectors to obtain accurate thickness measurements with GXR and high-resolution composition measurements with XRF using WDX detectors. A single x-ray beam can simultaneously provide the reflected x-rays for GXR and excite the thin film to generate characteristic x-rays for XRF. XRF can be combined with electron microprobe analysis (EMP), enabling XRF for thicker films while allowing the use of the faster EMP for thinner films. The same x-ray detector(s) can be used for both XRF and EMP to minimize component count. EMP can be combined with GXR to obtain rapid composition analysis and accurate thickness measurements, with the two techniques performed simultaneously to maximize throughput.

The invention discloses a remote in-situ integrated test system for planet surface substances and atmosphere. The whole system comprises: a miniature pulse solid state laser, a Cassegrain telescope system, a one-dimensional precise mobile platform, a continuous light indicating positioning laser, various optical elements and echelle spectrographs, ICCD, a high-resolution camera and a photomultiplier. According to the system and method of the invention, the combination of technologies of laser induced breakdown spectroscopy (LIBS), Raman spectroscopy (Raman), and laser radar is realized in the same system; the system of the invention adopts modular design, is high in integration level, small in size, and light in weight, and can realize long-distance surface microimaging, long-distance substance element analysis, long-distance substance composition analysis, and planet boundary layer atmosphere detection.

The present invention provides compositions, kits and methods for rapid identification and quantification of bacteria by molecular mass and base composition analysis.

The invention provides a PM 2.5 concentration value prediction method based on a hybrid neural network. The method comprises the following steps: 1) acquisition of four types of sample data, the four types of sample data comprising PM 2.5 concentration historical data, PM 2.5 concentration value related index historical data, weather historical data and PM 2.5 composition analysis data; 2) collecting an initially-forecasted PM 2.5 concentration value of a first neural network; 3) collecting a secondary-prediction PM 2.5 concentration value of a second neural network; and 4) collecting a final-prediction PM 2.5 concentration value of a third neural network, and outputting the final PM 2.5 concentration predication value. Besides the three kinds of data of PM 2.5 concentration value historical data, the PM 2.5 concentration value related index historical data and the weather historical data, the PM 2.5 composition analysis data is also introduced, so that PM 2.5 concentration value change and development rules can be accurately described and prediction accuracy is improved.

The invention discloses a preparation method of a fixed-point planar-view TEM sample. The method comprises: step 1, positioning an objective of a TEM sample; step 2, grinding the TEM sample, and making the edge of the TEM sample with a distance of 5 to 15 microns to the objective; step 3, cutting the cross section of the TEM sample; and step 4, putting the TEM sample into a focused ion beam (FIB) to carry out a planar-view sample preparation. By combining methods of grinding, cross section cutting and FIB planar-view sample preparation, the success rate of the TEM fixed-point planar-view preparation is substantially increased, simultaneously the quality of the planar-view TEM sample is also greatly improved, and the failure analysis, the composition analysis and the like are provided with great help.

The present invention provides compositions, kits and methods for rapid identification and quantification of adenoviruses by molecular mass and base composition analysis.

The invention discloses a channel concrete lining non-destructive testing system, which includes a computer, and is characterized in that: the computer is connected to a dedicated ground-penetrating radar subsystem, and the computer includes a radar data processing subsystem and an ultrasonic data processing subsystem, and the radar The data processing subsystem includes a file management module, a profile data processing module, a lining disease simulation analysis module, a layer tracking and disease identification module, and a lining physical property analysis module. The ultrasonic data processing subsystem includes an ultrasonic wave velocity calculation module and a coagulation intensity Judgment module. This system improves the data processing efficiency and accuracy of the construction quality inspection of canal concrete lining, and provides scientific, accurate, advanced and effective technical support for the construction quality inspection of canal concrete lining.

A method and system to determine palatability (tenderness, juiciness, and flavor) of Eve foodstuffs (meat, fish, fowl, ft and vegetables) including the steps of, utilizing bioelectrical impedance analysis in a biological subject model for measurement and composition analysis; and a system of using the results of the utilizing step procedure to illustrate an objective scale of palatability; a ‘Palatability Index’.

A territorial waters synthesis pore diameter radar image point target extraction method belongs to the technical field of image processing, which comprises steps below: Calculating point-wise Holder's index of an original image and enhancing two-valued obfuscation; inputting the processing result as an independent composition analysis method to obtain spatial expression of the image, viz. base image and independent composition; formulating separation basis to separate the space, obtain a noise space corresponding to noise signals and a non-noise space corresponding to non-noise signals; using a nonlinear filter operator to enhance the independent composition of the non-noise space and repeatedly restructure the independent composition and the acquired image to restore the original image; cutting two-valued extraction result of the territorial waters original image point target through simple threshold values. The present invention brings proper restriction upon strong ocean noise waves of the territorial waters synthesis pore diameter radar image.

Apparatus and methods of obtaining information concerning a substance (57) is provided by applying pulses (91, 92, 93) of electromagnetic energy to the substance (57) and evaluating the response of the substance to the electromagnetic energy. The pulses (91, 92, 93) generated by a source (51) are of sufficiently short duration to generate a very broad frequency band of energy. The pulsed energy is directed to the substance (57) to be processed and energy pulses (91, 92, 93) passing through the substance (57) are received (56) and analyzed (66) to determine the properties of substance (57).

The material composition of a thin film formed on a substrate or covered by a cap layer that shares one or more elements with the thin film can be determined by combining characteristic material data, such as characteristic x-ray data, from a material composition analysis tool, such as an electron probe-based x-ray metrology (EPMA) operation, with thickness data and (optionally) possible material phases for the thin film. The thickness data and / or the material phase options can be used to determine, for example, the penetration depth of a probe e-beam of the EPMA tool. Based on the penetration depth and the thin film thickness, the characteristic x-ray data from the EPMA operation can be analyzed to determine the composition (e.g., phase or elemental composition) of the thin film. An EPMA tool can include ellipsometry capabilities for all-in-one thickness and composition determination.

An arrangement and a method are provided for non-destructively analyzing the composition of a delicate sample. The value of the sample depends at least partly on absence of visual defects. A laser source (301) produces a pulsed laser beam, and focusing optics (302) focus said pulsed laser beam into a focal spot on the sample. A sensor (312) receives and detects optical emissions from particles of the sample excited by said pulsed laser beam. A processing subsystem (111) produces information of the composition of the sample based on the optical emissions detected by said sensor (312).

The present invention provides compositions, kits and methods for rapid identification and quantification of sepsis-causing bacteria by molecular mass and base composition analysis.

The invention discloses a wind driven generator set failure feature extracting method based on sparse decomposition. The method is used for diagnosing wind driven generator set failures and is suitable for being used for non-direct-drive-type wind driven generator sets. The method is aimed to solve the problem that failure features of a wind driven generator set vibration signal are difficult to extract due to failure feature coupling, large background noise and the like, and on the basis of a form composition analysis principle, the signal is decomposed into three compositions including harmonic waves, impact and noise by means of different sparse expression dictionaries, so that the failure features which are difficult to find outstand; experiments are carried out on a wind driven generator failure simulation experiment table, and validness is proved. The method has the advantages that the failure features which are covered by noise or other feature signals and difficult to find are extracted, accordingly a failure portion is determined, instructive suggestions are made for maintenance of a wind driven generator set and arrangement adjustment of maintenance plans, non-scheduled down time is effectively reduced and economical efficiency and social efficiency of a wind power plant are improved.