2136 results about "Qualitative analysis" patented technology

The invention provides systems and methods for detection, grading, scoring and tele-screening of cancerous lesions. A complete scheme for automated quantitative analysis and assessment of human and animal tissue images of several types of cancers is presented. Various aspects of the invention are directed to the detection, grading, prediction and staging of prostate cancer on serial sections / slides of prostate core images, or biopsy images. Accordingly, the invention includes a variety of sub-systems, which could be used separately or in conjunction to automatically grade cancerous regions. Each system utilizes a different approach with a different feature set. For instance, in the quantitative analysis, textural-based and morphology-based features may be extracted at image- and (or) object-levels from regions of interest. Additionally, the invention provides sub-systems and methods for accurate detection and mapping of disease in whole slide digitized images by extracting new features through integration of one or more of the above-mentioned classification systems. The invention also addresses the modeling, qualitative analysis and assessment of 3-D histopathology images which assist pathologists in visualization, evaluation and diagnosis of diseased tissue. Moreover, the invention includes systems and methods for the development of a tele-screening system in which the proposed computer-aided diagnosis (CAD) systems. In some embodiments, novel methods for image analysis (including edge detection, color mapping characterization and others) are provided for use prior to feature extraction in the proposed CAD systems.

A system and method of computer aided analysis of medical images and detection of malignant lesions is described. Medical images obtained from multiple modalities are analyzed. Morphological features as well as temporal, i.e., kinetics features, are combined to compute a consolidated assessment of a possible lesion detected in the medical images. The system includes at least one kinetics module, which is capable of extracting kinetics features from a time sequence of MRI images or MRS data taken after administering a contrast enhancement agent to a patient. The consolidated assessment is presented to a user for confirmation or modification.

A computer-implemented solution for managing a semantic business model is provided. In particular, one or more business area models for a business entity are obtained and transformed into intermediate model(s). Each intermediate model is represented using a substantially similar meta-modeling language. Subsequently, the semantic business model is generated by merging the set of intermediate models. In this manner, the semantic business model can be generated in a manner that reduces the overall burden on a user. The semantic business model can be provided for display to the user and / or use in performing qualitative analysis on various aspects of the business entity.

The present invention is directed to the development of a biosensor based on the immuno-chromatographic method that can provide an assay speed and convenience required for point-of-care (the doctor's office and emergency room) testing or home-version diagnosis. Though certain physical symptoms, such as pregnancy and ovulation, or bacterial infection may be identified by a qualitative analysis for the presence of indicating substances, most analytes for clinical investigation demand their concentrations known in specimens. Therefore, the inventors of the present invention have developed a novel biosensor by combining the immuno-chromatographic method and the electric conductivity detection technology so that on-site quantitative determination at the points of care or at home may be carried out.

A method for evaluating a system having at least one portal is provided, wherein the method includes examining the at least one portal to identify at least one accessible portal, performing a qualitative analysis responsive to the at least one accessible portal, performing a quantitative analysis responsive to the qualitative analysis and generating a risk profile responsive to the performing a qualitative analysis and the performing a quantitative analysis.

The invention provides a quantitative characterization method of low penetration double-medium sandstone oil reservoir microscopic aperture structure, which comprises the following steps: selecting experiment samples, effectively combining various experiments, distributing samples, processing and analyzing experiment test data, combining macroscopic background and microscopic rock core, and combining static state analysis and dynamic production reality, thereby realizing quantitative characterization of ultra-low penetration double-medium sandstone oil reservoir microscopic aperture structure from qualitative analysis and semi-quantitative evaluation. The invention has the advantages that more comprehensive influence factors and micro crack, aperture throat parameter and nuclear magnetic resonance movable fluid parameter are considered, so the characterization result can better reflect change characteristics of ultra-low penetration double-medium sandstone oil reservoir microscopic aperture structure, which are consistent to the production exploitation real cases of the oil field, thereby effectively avoiding one-sidedness and limitation of single aspect evaluation result.

A logistics distribution control method with soft time windows includes the following steps: (A1) a network model is built, cost resistances are assigned to roads to which network data are concentrated, and taking road nodes into consideration, toll weights are assigned to road traffic light intersections and toll stations; (A2) an optimized vehicle routing model with soft time windows (VRPTW) is built, a target function is established with lowest transportation costs, and the transportation costs are respectively composed of fixed distribution vehicle cost, transportation cost, vehicle waiting cost and delay cost; (A3) a fuzzy clustering analysis algorithm is designed, and a method based on the integration of quantitative analysis and qualitative analysis is adopted for clustering; (A4) a heuristic optimized vehicle routing algorithm is designed, the optimized vehicle routing algorithm is adopted for distribution target nodes in each class, and thereby a distribution result can be obtained. The logistics distribution control method with soft time windows adopts the distances of actual delivery road network routes between distribution nodes as a calculation basis and also takes the actual traffic capacities of roads, large network node number and transportation time needed by distribution nodes into consideration.

The present invention relates to a simple immunochemical semi-quantitative assay method according to chromatography, which comprises trapping a certain amount of an analyte in a sample with a predetermined amount of a fixed antibody for the analyte before qualitative analysis of the analyte, the certain amount corresponding to the amount of the fixed antibody, and thereby decreasing a concentration of the analyte to be subjected to subsequent immunochemical qualitative determination, and an apparatus therefor.

A method for Fault Tree Map generation employs to transformation of Fault Trees of production installation, specific installation, technical system (Hardware and integrated Hardware / Software) to new Fault Tree diagram (Fault Tree Map), which permits drastically compact the Fault Tree depiction and facilitates performing of the Fault Tree qualitative analysis, including evaluation of combination of latent failures and evident failures, repeated events and critical events position influence, and failure propagation potentiality, besides facility of localization of each Fault Tree logical Gate and relevant failures in the fault tree printed report. Generation takes place using special symbols, which permit to reflect the Fault Tree logic, present all Fault Tree failures with graphically identification of the failure type, and show the failure repetition and also the failure critically (importance) to Fault Tree Top Event probability. The method presents exceptional advantages to analysis of large-scale, extended Fault Trees, allowing vastly decrease the time of analysis and elevate the analysis quality and Fault Tree perception, including for specialists, who are not the Fault Tree authors.

Serial analysis of gene expression, SAGE, a method for the rapid quantitative and qualitative analysis of transcripts is provided. Short defined sequence tags corresponding to expressed genes are isolated and analyzed. Sequencing of over 1,000 defined tags in a short period of time (e.g., hours) reveals a gene expression pattern characteristic of the function of a cell or tissue. Moreover, SAGE is useful as a gene discovery tool for the identification and isolation of novel sequence tags corresponding to novel transcripts and genes.

The invention discloses a power channel corridor routing-inspection method based on a tilt photography three-dimensional reconstruction technology, wherein the method includes the steps: A, combining a laser radar data measurement technology and a tilt photography technology, and rapidly constructing power transmission line channel high-precision three-dimensional base map data by using the laser radar measurement technology; B, acquiring three-dimensional real scene data of a channel corridor by using the tilt photography measurement technology; and C, carrying out fused analysis of the three-dimensional real scene information and a laser radar channel base map, effectively identifying and extracting trees and obstacles in the channel corridor, and then generating a tree barrier assessment report. By using the method, qualitative analysis of the tree barrier can be effectively turned into quantitative analysis, the position of a to-be-felled tree in the channel can be calculated, the felling area is statistical, and thus the safe operation of the line corridor is ensured.

Provided are an excavating device and an excavating method of binary system program loopholes. The excavating device is provided with a static analysis module, a debugger module, a genetic algorithm module, a test input generation module and an abnormal monitoring module which are sequentially connected and a dynamic pollution tracking module located between the debugger module and the genetic algorithm module. The excavating device is guided to generate a test case by aid of a fitness function of the genetic algorithm, the multi-objective fitness function is designed, and the test case is evaluated in view of quantification. Dynamic pollution tracking is used for identifying key bytes in input files to narrow search space of the genetic algorithm. The excavating device combines advantages of the genetic algorithm and the dynamic pollution tracking and is guided to generate the test case, so that the generated test case is strong in pertinence, generated test data are high in accuracy and efficiency, further qualitative analysis and quantitative calculation are combined, and therefore path explosion in binary system program testing based on the symbolic execution and constraint solving technology is avoided.

A method for accurately determining timing points for T-wave shocks is particularly useful in a system for determining a cardiac shock strength in an implantable cardioverter defibrillator (ICD. The method involves acquiring at least one first signal, acquiring at least a second signal, comparing the signals, and selecting a timing point with the T-wave of the signal. The first and second signals may be two different aspects of a single electrogram, first and second electrograms, or a combination thereof. Comparison preferably involves signal alignment and qualitative analysis.

The invention discloses a routine public transit network optimization and adjustment method based on cellphone signaling data, and the method comprises the following steps: cellphone signaling data processing, region traffic feature extraction, and public transit network dynamic optimization. The method takes the existing theoretical research as the basis, combines with practical experience and research results in a public transit network optimization project, organically combines a qualitative analysis method and a quantitative analysis method, enables a line optimization method to accord with the actual condition of public transit network optimization in a better manner, is higher in operability, and provides optimization decision support for a bus company and related administrative departments in the public transportation planning and management. The method achieves the purposes that the number of straight passengers of the public transit network is the largest, the construction cost of a bus system is the lowest, and the number of transfer times of passengers is the smallest. The method can improve the bus service level, improves the bus reachability, and effectively alleviates the traffic congestion.

The invention provides a simulative-target metabonomics analytic method based on combination of liquid chromatography and mass spectrum. The method includes following steps: respectively manufacturing to-be-analyzed samples into merged samples according to groups; automatically collecting secondary mass spectrums of metabolites in each merged samples through data of UHPLS / Q-TOF MS with dependence on a collecting mode; extracting a retaining time and information of parent ions and daughter ions of the metabolites by qualitative analytic software; screening out characteristic ion pair information of the metabolites according to daughter ion response intensity; summing the characteristic ion pair information of each merged samples; and scanning the obtained characteristic ion pair of the metabolites by UHPLC / QQQ MS through a dynamic multi-reaction monitoring mode in an actual sample for obtaining a corresponding spectrogram; and performing integration through quantitative analytic software to obtain the metabolites in the to-be-analyzed samples and content information thereof.

A method of operating a data collection and analysis system. An exchange computer receives customer identification data associated with a customer. A quantitative analysis algorithm determines whether the exchange computer has received an amount of customer identification data sufficient for the customer to be uniquely identified, and if so, then a linking service computer or a plurality of remote database computers perform a qualitative analysis algorithm with the customer identification data to determine if the customer identification data is sufficient for the customer to be uniquely identified. If the qualitative analysis algorithm passes, then customer information may be retrieved from the remote databases and collated and analyzed at the exchange computer. The customer may automatically register with reward programs using already-entered user information. A data analysis embodiment enables offers to be generated that are tailored towards specific users.

The invention relates to a photovoltaic power station fault diagnosis method based on a fuzzy production rule knowledge base, and belongs to the technical field of electric engineering informatization. According to the method, firstly, the field knowledge of photovoltaic power station equipment warning and fault information is stored in a fact and rule form for forming a fault information knowledge base; then, fuzzy logics are adopted for carrying out qualitative analysis on the fault information base of photovoltaic power station equipment, and a judging rule between a fault phenomenon and a reason is determined; detected fault feature vectors are subjected to fuzzy matching with each rule antecedent in a rule base; and according to the matching relationship between the fault phenomenon and the judging rule, the fault diagnosis reason and the result are determined, the fault is positioned, and an overhaul decision scheme is given. The photovoltaic power station fault diagnosis method has the advantages that the final fault or the most possible fault can be fast searched and positioned; meanwhile, the knowledge base is inquired to obtain the overhaul decision; the overhaul decision is provided for overhaul personnel, so that the overhaul personnel can shorten the fault inquiry time; the goal of fast repairing fault equipment is achieved; and the power station machine halt time is reduced, or the power station machine halt is avoided.

The invention relates to a mountain torrent disaster risk division and prediction method based on GIS (geographic information system)-neural network integration. The method includes the steps: S1 mining the association relationship between a risk factor and a risk grade in a mountain torrent disaster by the aid of association rules, identifying the risk factor and building a quantitative mountaintorrent disaster risk evaluation index system; S2 determining risk and vulnerability index system by an analytic hierarchy process and the weight of the system to generate feature layers; S3 stackingmountain torrent disaster risk and vulnerability distribution layers by ArcGIS to obtain a mountain torrent disaster risk distribution diagram; S4 performing clustering by an ISO maximum likelihood method, merging regions from bottom to top and performing qualitative analysis from top to bottom to form mountain torrent disaster risk division; S5 analyzing non-linear relationships among evaluationindexes, the risk grade and disaster data by an Elman neural network, and building a mountain torrent disaster risk evaluation and loss prediction model. The problem of spatial scale uncertainty in mountain torrent disaster evaluation in a changing environment can be solved, and the method can be widely used for evaluating mountain torrent disaster risks.

The invention relates to a rolling bearing error auto diagnose system. It takes testing analysis and kurtosis analysis to the bearing vibration, and calculates the kurtosis by virtual device and DSP, analyzes and compares the spectral configuration to accurately measure the acceleration and speed of bearing vibration, and achieve accurate analysis to automatically judge the place of the error.

The invention discloses a comprehensive quantitative determination method for grouting reinforcement effect of underground engineering crushed surrounding rocks. The method is based on four technological detection meanings, and the four meanings comprise surrounding rock boring coring, detection by a ground penetrating radar, borehole inspection detection and in-situ strength detection on bored surrounding rock. By using the four detection meanings for respective statistics and analysis, the surrounding-rock boring coring enhancement rate, the damage area reinforcing enhancement rate, the crack closing enhancement rate, the strength parameter enhancement rate and other parameters before or after grouting are obtained. The grouting reinforcement effect is subjected to comprehensive quantitative analysis through a weight analysis method, and a quantitative evaluation index for the grouting reinforcement effect is established, and scientific reasonable evaluation is performed on the grouting reinforcement effect of the underground engineering crushed surrounding rock. The comprehensive quantitative determination method for the grouting reinforcement effect of underground engineering crushed surrounding rocks overcomes the disadvantages that a conventional technology for the grouting reinforcement effect of underground engineering crushed surrounding rocks is behindhand in detection meaning and single in evaluation method, cannot realize quantization and the like. The provided comprehensive quantitative determination method is advanced in detection meaning, relatively novel and relatively scientific compared with a conventional experiential qualitative analysis method.

A sterility test method includes: selecting strain and culture medium, preparing bacterial cultures, transcribing fingerprint characteristics in thermograms as indices to verify the characteristics, drawing the thermodynamic parameters of the thermogram, determining the positive judgment index and performing sterility test for the samples. A fully-enclosed bacteria collecting ampoule incubator includes bacteria collecting ampoule system, sample and liquid feeding system and peristalsis liquid discharge system. The sample and liquid feeding system is connected with the bacteria collecting ampoule system by the liquid intake tube; and the bacteria collecting ampoule system is connected with the peristalsis liquid discharge system by the liquid drainage tube. The invention is characterized by short inspection time, high sensitivity, high automation and accurate test results on microbial contamination. It can also provide the overall process curve on the growth conditions. Such curve is provided with relatively favorable fingerprint, which enables qualitative analysis on the microbial contamination conditions.

The invention belongs to the technical field of virus detection, and particularly relates to a primer, probe, test kit and method for real-time fluorescent quantitative PCR detection of novel coronavirus 2019-nCoV. A single-tube double-fluorescence channel is adopted to simultaneously detect the existence of the novel coronavirus 2019-nCoV and reference gene Rnase P, and the existence of the novelcoronavirus 2019-nCoV RNA in specimens such as alveolar lavage fluid, nasopharyngeal swab, whole blood, serum, feces and tissues can be detected. The method is short in detection time period, and issuitable for clinical and bedside rapid detection of diagnosis; the virus detection specificity is high, and the accuracy is high; virus qualitative analysis and quantitative analysis are carried out,and the quantitative linear range is good; the detection sensitivity is high; the experimental result is good in repeatability and high in precision; and the reference gene is added into a detectionsystem, so that the quality of the whole process of extracting and amplifying the sample can be monitored through the detection result of the reference gene.

The invention relates to the technical field of environmental protection or chemistry analysis, which is an on-site quick detection method for organic pollutants in water; wherein on-site quick separation is carried out on various types of organic pollutants in a polluted water sample to be detected with thin layer chromatography, and on-site quick detection is carried out on the organic pollutants by using surface enhancement Raman spectroscopy technology. The method comprises the following steps of: firstly, preparing the active base of a high-density surface reinforced Raman spectrum; secondly, establishing a characteristic-peak strength-density standard curve map; thirdly, separating the organic pollutants which are stabilized on a chromatographic sheet; fourthly, obtaining the surface reinforced Raman spectrum map of the organic pollutants; and fifthly, carrying out contrast and detection. The method has the following benefits: the method has high detection and analysis speed, high sensitivity, wide detection range, low sample dosage and convenience for instrument carrying and operation; and the on-site quick qualitative analysis and semi-quantitative detection can be carried out on the organic pollutants, wherein the detective sensitivity can be less than 1 ppm.

The invention discloses a chiral analysis method for nicotine in tobacco juice of an electronic cigarette. The chiral analysis method comprises the steps of diluting the tobacco juice of the electronic cigarette by a methyl alcohol / methyl tertiary-butyl ether solution, analyzing S-(-)-nicotine and R-(+)-nicotine in the tobacco juice of the electronic cigarette by using a chiral stationary phase capillary column mthrough a gas chromatograph-mass spectrometer, performing chiral analysis on the S-(-)-nicotine and the R-(+)-nicotine by comparing the retention time of a chromatographic peak and characteristic ions of nicotine in a standard sample with the retention time of a chromatographic peak and characteristic ions of nicotine in an electronic cigarette tobacco juice sample, and normalizing areas of quantitative ion peaks of the S-(-)-nicotine and the R-(+)-nicotine to quantify the proportions of the S-(-)-nicotine and the R-(+)-nicotine to the total nicotine. The chiral analysis method has the advantages that the nicotine in the tobacco juice of the electronic cigarette is separated by a chiral stationary phase capillary column, so that the S-(-)-nicotine and the R-(+)-nicotine in the nicotine can be better separated, and accurate and quantitative analysis on the nicotine can be realized. The sample treatment is simple and convenient; the chiral analysis method is low in detection limit, high in sensitivity, high in reproducibility, accurate in quantification and suitable for chiral analysis on the nicotine in a large batch of electronic cigarette tobacco juice samples.

A novel method for real-time small-signal stability analysis for power electronic-based components in a power system. The method is based on impedance measurement techniques and Generalized Nyquist Criterion. The method is capable of real-time application. The method may be used to monitor a system in real-time by perturbing the system persistently and utilizing the system's responses to calculate source / load impedance in time-domain and based on d-q impedance measurement theory. Time-domain results may be transferred to frequency-domain results by taking advantage of a fast Fourier transform algorithm (or optionally discrete Fourier transformer for discrete systems) and monitoring the system's stability by obtaining a Nyquist contour and employing Generalized Nyquist Criterion or unit circle criterion.

The present invention relates to a dual-mode emotion identification method and system based on a facial expression and an eyeball movement. The method comprises a step of performing acquisition, a step of extracting a facial expression feature vector, a step of extracting an eyeball movement feature vector, a step of performing qualitative analysis on an emotional state, a step of performing matching-by-time and storage, a step of performing fusion and classification and a step of comparing emotional information. According to the method and system provided by the present invention, facial expression information of a to-be-tested object can be dynamically and accurately extracted and analyzed, and a correlation between the facial expression and the emotion is established; rich eye movement information can be accurately and efficiently acquired by means of tracking of an eye tracker, and the emotional state of the to-be-tested object is analyzed from the angle of the eyeball movement; and the facial expression feature vector and the eyeball movement feature vector are processed by using an SVR, so that the emotional state of the to-be-tested object can be obtained more accurately, and thus accuracy and reliability of emotion identification are improved.

The invention belongs to the technical field of laser detection, specifically relates to a component analyzer for laser probe micro-area. The structure thereof comprises that: a laser, a beam expanding lens and a first total reflector are sequentially positioned on the same horizontal optical path; an included angle between the reflection plane of the first total reflector and the horizontal optical path is 45 degrees; an industrial CCD is positioned above the first total reflector, the industrial CCD and a first focusing object lens are sequentially arranged from top to bottom and optical axes thereof are superposed; the surface of a three-dimensional workbench is positioned below the first focusing object lens; the total reflector is movably mounted on the reflection optical path of a sample, an optical cable probe is positioned the reflection optical path of the total reflector; the industrial CCD is connected via the optical cable with a computer having a display, the optical cable probe is connected with a grating spectrograph, an enhanced CCD and the computer. The laser probe instrument can probe micro-area elements of substances losslessly, can satisfy rapid qualitative analysis for element components of devices having various materials and sizes, and can also implement high-accuracy quantitative analysis on micro elements and trace elements in the micro area of the sample.