313results about How to "Reliable analysis" patented technology

The invention discloses a multi-feature fusion vehicle re-identification method based on deep learning. The method comprises five parts of model training, license plate identification, vehicle identification, similarity measurement and visualization. The method comprises the steps that a large-scale vehicle data set is used for model training, and a multi-loss function-phased joint training policyis used for training; license plate identification is carried out on each vehicle image, and a license plate identification feature vector is generated according to the license plate recognition condition; a trained model is used to extract the vehicle descriptive features and vehicle attribute features of an image to be analyzed and an image in a query library, and the vehicle descriptive features and the license plate identification vector are combined with the unique re-identification feature vector of each vehicle image; in the stage of similarity measurement, similarity measurement is carried out on the image to be analyzed and the re-identification feature vector of the image in the query library; and a search result which meets requirements is locked and visualized.

A gas chromatograph having the capability of performing a reliable measurement under a condition that the baseline of a detector output is stabilized, and a breath component analyzer using the same are provided. This gas chromatograph comprises a gas separation column accommodating a member for causing a flow delay depending on gas component; air pump for supplying an air as a carrier gas into the gas separation column; gas supply port formed in a gas flow channel extending between the air pump and the gas separation column, and adapted to supply a subject gas containing a target gas component to be detected into the carrier gas flowing in the gas flow channel; buffer tank provided upstream of the gas supply port; and a detector for detecting the gas component of the subject gas supplied into the gas separation column.

A system and method for assembling a mesh model for engineering analysis by a user is provided. The system includes a user computer system, a remotely located computer system and a data storage means. The method includes the steps of selecting a plurality of component parts having a best practice mesh model format and selecting a predetermined property for each of the selected component parts, wherein the predetermined property is selected from a best practice library stored on the data storage means. The method also includes the steps of determining if the mesh model for each of the selected component parts meets a predetermined mesh quality condition using a best practice mesh quality checking software program. The method further includes the steps of selecting a best practice connecting means for connecting the selected component parts, wherein the connecting means is selected from a best practice library of mesh models of connecting means stored in the data storage device, and assembling the selected component parts together using the connecting means and the best practice properties into a new mesh model using a best practice mesh assembly software program, and the assembled mesh model is available for further analysis.

An apparatus and a method are disclosed for use with Laser Induced Breakdown Spectroscopy (LIBS) systems that can be applied to the real time analysis of molten materials or liquid. Since it is difficult to prepare a surface representative of the bulk when dealing with high temperature molten material, the invention, in one aspect, uses a forced gas flow through a tube insertable inside the molten material to generate a bubble. The inner surface of the bubble is a representative of the composition of the material. LIBS performed on such a surface produces an accurate real time analysis of material, even when other processing of material, e.g., copper smelting, etc., is being conducted.

The invention relates to a testing machine for simulating the fatigue life in a full scale mode in the marine environment of a harbor pipeline, and the testing machine belongs to the technical fields of new pipeline material development and structure design and mechanics performance testing, wherein two guide rail beams are fixedly connected with a workbench; two movable supports are respectively in sliding connection with the guide rail beams; two servo loading units are respectively in sliding connection with the guide rail beams; and an internal pressure loading unit is fixedly connected with the workbench. The testing machine provided by the invention has the advantages that the performance of the harbor pipeline is comprehensively and reliably analyzed; the loading type of any combination is realized; the mechanics performance, welding performance, fatigue life and the like of the pipeline are tested more comprehensively and more accurately by simulating the stress conditions of the harbor pipeline in a full-scale and full-direction mode; and the testing machine has important significance in effectively preventing the harbor pipeline from fracturing.

The invention discloses a satellite positioning and static leveling-based layered settlement monitoring system and method. The system comprises a base station, a monitoring station which is arranged in a settlement monitoring area and a monitoring center which communicates with the monitoring station, wherein the base station communicates with the monitoring station; the monitoring station comprises an observation pillar, a second Beidou satellite signal receiver mounted on the observation pillar, a data transmission unit, a plurality of layered settlement marks and a static level system; the static level system comprises a plurality of static level gauges; each layered settlement mark is provided with one static level gauge; one of the static level gauges is arranged on the observation pillar. The method comprises the following steps: I, setting of the monitoring system; II, data acquisition and transmission; III, data processing and analysis. According to the satellite positioning and static leveling-based layered settlement monitoring system and method, the calibration and correction problems of the instable working base points during the static leveling can be effectively solved, and the long-term, remote and real-time monitoring for the layered settlement deformation of the geologic bodies can be realized.

The invention relates to a geologic forecast method which is suitable for TBM construction, belonging to the technical filed of geologic forecast; the method comprises the following steps: (1) the interior of a TBM cutter head is provided with a synchronous signal detector used for synchronously receiving signals aroused by rock-cutting of the TBM cutter head, and a reflected wave signal detector used for receiving the reflected wave signals transmitted from the front of a TBM working surface through rock mass is arranged inside a tunnel wall rock at the back of the TBM working surface; (2) the received signals received by the two detectors are transmitted to an HSP sonic apparatus, the HSP sonic apparatus processes and analyzes the received signals and gives a geologic forecast result. The method has the advantages of synchronous process of the measurement operation and TBM operation, good suitability to TBM tunnel construction and high forecast accuracy.

The invention discloses a predication method and device for top-oil temperature of a transformer based on error predicting amendment, pertaining to the on-line monitoring field of the transformer. The method comprises following steps: obtaining a prediction dataset comprising load current and ambient environment of the transformer; using load current of the transformer at the current moment as input amount, utilizing a Susa thermal circuit model to predict top-oil temperature of the transformer in order to obtain top-oil temperature prediction value of the Susa thermal circuit model; normalizing top-oil temperature prediction value of the Susa thermal circuit model and the prediction dataset; using the normalized top-oil temperature prediction value of the Susa thermal circuit model and the prediction dataset as input amount and utilizing a GA-KEDLM model to make a regression forecast to obtain prediction errors; carry out anti-normalization operation on regression prediction errors; using prediction value of top-oil temperature of the Susa thermal circuit model before normalization to delete the regression prediction errors after anti-normalization operation in order to obtain top-oil temperature prediction value corrected by the transformer. The predication method and device for top-oil temperature of the transformer based on error predicting amendment are capable of accurately predicting top-oil temperature of the transformer.

Embodiments of the present invention describe a MALDI (matrix-assisted laser desorption and ionization) sample plate body that includes a reusable sample plate and a sample plate adapter that are releasably coupled to one another. In one particular embodiment, the sample plate and the sample plate adapter are releasably coupled to one another to form the MALDI sample plate body by a latch formed by a spring-loaded hook within the sample plate adapter and a recess shaped to accept the hook within the sample plate. The MALDI sample plate body may be formed by aligning the sample plate with the sample plate adapter and coupling the sample plate to the sample plate adapter to releasably couple the sample plate to the sample plate adapter.

The embodiment of the invention provides a carbonate rock microstructure determination method and device. The method includes the steps of obtaining an electronic computer X-ray CT image of a carbonate rock sample and conducting binarization processing on the CT image, wherein the pixel number of holes of the carbonate rock sample in the image obtained after binarization processing is different from the pixel number of particles of the carbonate rock sample; calculating a total area of all holes according to the pixel number of the holes, and calculating the area of the CT image of the carbonate rock sample according to the pixel number of the holes and the pixel number of the particles; determining a specific value of the total area of the holes to the area of the CT image of the carbonate rock sample to be the porosity. The scheme is based on the CT image of the carbonate rock sample, the area of the holes and the area of the CT image of the carbonate rock sample can be calculated in a quantitative mode, the porosity of the carbonate rock sample can be further calculated accurately and reliability, and quantitative and reliable analysis on a microstructure of a carbonate rock reservoir is better achieved.

In a device for detecting the body position of a passenger in a vehicle sitting in a seat a plurality of light transmitters is situated in or on the back rest, staggered by height, and emit light signals in the direction of one or a plurality of light receiver(s) situated in particular above the back rest. A conclusion may be drawn regarding the form of the blockage of the light signals by the passenger based on the light signals received, which in turn makes it possible to draw a conclusion regarding the posture, in particular the head position or the body inclination. The positions of the light transmitters and light receivers may be exchanged in an analogous manner.

The present invention provides an antibody which specifically recognizes a CNS tau protein but not a peripheral tau protein. More specifically, the present invention provides an antibody obtainable by using a polypeptide comprising an amino acid sequence of a connective portion between the amino acid sequence encoded by Exon 4 of a gene encoding a tau protein and the amino acid sequence encoded by Exon 5 thereof as an epitope specific to the isoform of tau protein predominantly existing in central nervous tissues. The present invention further provides a method of detecting Alzheimer's disease and a reagent kit using the antibody.

A method of fabricating sample lamella for transmission electron microscopy (TEM) analysis is provided. A waiting-examination sample having an analysis target on the top surface of that is offered, and at least a mark around the analysis target is defined. A covering layer is covered on the top surface of waiting-examination sample. A holder is attached on the covering layer. A backside polishing process is performed to remove a portion of the waiting-examination sample until the mark is visible under the optical microscopy from the bottom surface of waiting-examination sample. An in-situ lift-out step is performed to pick up a thin membrane containing the analysis target and serve as the sample for TEM analysis.

A magnetic separation system configured to separate with high qualitative and quantitative yield magnetized cells from cell mixtures, comprising at least one electromagnet structured to generate a magnetic field flux about a plurality of separation zones and sufficient to attract a majority of the magnetized cells in the mixture, and a pump to drive the cell mixture at a controlled flow rate through a tube disposed within the zones thereby separating a majority of the magnetized cells from the mixture. The system is particularly useful to retrieve rare cells from a fluid mixture of cells having low abundance of the rare cells relative to the rest of the cells while sustaining viability of the cells.

The invention relates to a detection method for filthy conditions of insulator images and belongs to the field of electric transmission line equipment operation condition overhaul and computer vision. By the aid of the detection method for the filthy conditions of the insulator images, the problems that detection steps are cumbersome, safety is low, and evaluation criteria lack adaptivity in detection schemes for the filthy conditions of the insulator images in the traditional technology are solved. According to the method, the insulator contamination degree is detected by training condition detection models of three sub classifiers of the insulator images through a robot learning method according to different color characteristics of the insulator images under different contamination conditions. The filthy conditions of insulators can be analyzed accurately, reliably, quickly and effectively, so that a basis is provided for cleaning insulator filth in time, and accidents of pollution flashover power outage of the insulators are reduced. The detection method is suitable for detecting the filthy conditions of the insulator images quickly and accurately.

A gas chromatograph having the capability of performing a reliable measurement under a condition that the baseline of a detector output is stabilized, and a breath component analyzer using the same are provided. This gas chromatograph comprises a gas separation column accommodating a member for causing a flow delay depending on gas component; air pump for supplying an air as a carrier gas into the gas separation column; gas supply port formed in a gas flow channel extending between the air pump and the gas separation column, and adapted to supply a subject gas containing a target gas component to be detected into the carrier gas flowing in the gas flow channel; buffer tank provided upstream of the gas supply port; and a detector for detecting the gas component of the subject gas supplied into the gas separation column.

The invention provides an automatic punch and an automatic punching method. The automatic punch comprises an automatic punching device (8). The automatic punching device (8) comprises a first drive mechanism (8-1), a transmission piece (8-2), a first position detection mechanism, a lifting connection piece (8-3), a rotating arm (8-4) and a punching tool bit (8-5). The automatic punch further comprises a rotating plate system and a device movement system. The automatic punch and the automatic punching method have the advantages that the whole punching and sampling process can be controlled in a full-automated mode, and the advantages of being high in control accuracy in the automatic punching and sampling process is achieved while it is ensured that the structure is simple; the punching tool bit can be easily replaced with punching tool bits of different specifications, and therefore the automatic punch can be suitable for application occasions of different types; the punching tool bit can conduct punching and sampling on all areas of gaskets, and the service life of the gaskets is prolonged.

The present invention relates to a miniature apparatus for analyzing urine components and a method for real-time analyzing urine components using the same which can measure and analyze components contained in the urine in real-time.

The invention discloses a measuring and adjusting process-considered tolerance design method of a precise machine tool, which comprises the steps of: firstly defining a related coordination system according to a key feature plane; then determining a state space equation and a basic coefficient matrix thereof of a machine tool assembly; next, establishing a cost target function, obtaining an optimal adjustment sequence by a discrete system output regulator so as to convert the state space equation into a Gauss-Markov random process equation; then obtaining a covariance matrix, and performing iteration computation to obtain the covariance matrix after integral assembly is finished; computing a corresponding function relationship between a total precision index and a part precision index of the machine tool according to the covariance matrix after the integral assembly is finished; finally, establishing a function relation between a precision total cost and a part precision and solving to obtain an optimal part tolerance allocation result. The method can be used for accurately and reliably analyzing the tolerance of the machine tool, thus ensuring the precision performance of the machine tool.

The invention refers to a method of resonance spectroscopy for the analysis of statistical properties of samples, comprising the following steps: a) recording of a complex resonance frequency spectrum of each sample by means of phase sensitive quadrature detection; b) numerical differentiation of the recorded complex resonance frequency spectra versus frequency; c) determination of the absolute value of each differentiated complex resonance frequency spectrum (=fingerprint); d) allocation of each fingerprint to a point of a multidimensional point set; and e) performing a pattern analysis of the generated points for characterizing the statistical properties of the samples. The inventive method tolerates unintended variances of measurement in the recorded resonance. frequency spectra, in particular caused by phase errors, and allows reliable automated spectral analysis.

The invention provides a device for determining the type of protein in a liquid, the device comprising (a) an immobilized ATP dependent protease based molecular transporter machine configured to guide a protein that is functionalized with labels through a detection area of a detector, (b) said detector, configured to detect a signal as function of the labels of the labelled amino acids, (c) a processor unit, configured to identify from the detector signal a sequence of amino acids of the functionalized protein, wherein the processor unit is further configured to compare the identified sequence of amino acids with the occurrence of such sequence in a database of proteins and to identify the type of protein.

An electron probe X-ray analyzer capable of automatically setting appropriate analytical conditions if there are unknown compounds by performing analysis under the analytical conditions adapted for analysis points having different compositions in a case where the numerous analysis points having the plural compositions are analyzed by WDS (wavelength-dispersive X-ray spectrometer). At each analysis point, the analyzer performs quantitative analysis using EDS (energy-dispersive X-ray spectrometer) permitting easy and quick analysis. Based on the results, chemical compounds are identified. If the results indicate that there is any new compound, analytical conditions adapted for the new compound are selected. If the new compound is already registered in a database, the analytical conditions are read from the database. Then, quantitative analysis is performed using WDS.

New and improved methods and systems for modeling the performance of selected company metrics. Multiple, non-traditional sets of objective data along with mathematical analytical techniques are used to provide transparency and visibility into company performance relating to the particular metrics. Company inflection points and changes in strategy may be identified. The performance of a company and / or the performance of a selected industry or industry sector may be analyzed.

The present invention discloses an automatic segmentation method for retinal nerve fiber layer in OCT image of ocular fundus, comprising the following steps: A. determining the inner layer outline u(s) of the retinal region as u(s)=[x(s), y (s)], and the outer layer outline v(s) as v(s)=[x(s), y(s)]; B. describing the retinal region in local structure data p (x, y) mode, and constructing the energy function (the formula is shown above) based on the local structure data p (x, y) after constructing the level set function phi; and C. minimizing the energy function, calculating the boundary curvem as m= {(x, y) / phi (x, y) = 0} while phi (x, y) = 0, and defining the region between the boundary curve m(s) and the outer layer outline v(s) as the retinal nerve fiber layer region. According to the invention, retinal nerve fiber layer in OCT image of ocular fundus can be segmented reliably and accurately.

A multiple trip point fuse latch device and method is disclosed. Multiple read inputs to a fuse latch enable the altering of the resistive trip point of the fuse latch. A multiple trip point fuse latch may be combined with a slave latch to form a master-slave flip-flop, and multiple master-slave flip-flops may be connected in series to form a shift register. Changing the trip point permits the use of a test procedure that may analyze the margins of a fuse latch during the fuse read operation.

The invention relates to a micro-satellite instability multi-detection system and a kit. The detection system comprises a universal-specific gomphosis primer pair and a mixture of universal primers, wherein the universal-specific gomphosis primer pair respectively aims at mononucleotide micro-satellite loci BAT-26, BAT-25, NR22, NR24 and NR21; the universal primer is Flu-UP; a sequence of Flu-UP sequence is arranged at each upstream primer 5' end of the universal-specific gomphosis primer pair; and the universal primer Flu-UP is a fluorescence labeling primer. By adopting the micro-satellite instability multi-detection system and the kit provided by the invention, the defect that different primers need multiple fluorescence labels is overcome, 5 micro-satellite gene loci can be detected in one same PCR (Polymerase Chain Reaction) reaction system, the result is visible, reliable, time-saving and efficient, the cost is saved, and the MSI (Micro-satellite Instability) gene loci can be effectively detected and analyzed.

A detection device includes a flow channel for a fluid sample, a suction section adapted to draw the fluid sample into the flow channel, an optical device disposed in the flow channel, a light source adapted to irradiate the optical device with light, a light detection section adapted to detect light emitted from the optical device, a microbalance sensor chip having a piezoelectric substrate provided with an oscillation electrode, and disposed in the flow channel, and a quantitative analysis section adapted to perform quantitative analysis on the fluid sample based on output from the light detection section and the microbalance sensor chip. The optical device has a metal nanostructure including projections ranging in size from 1 through 1000 nm, and emits light representing the fluid sample adsorbed to the metal nanostructure.