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2125 results about "Qualitative analysis" patented technology

Qualitative Analysis: Qualitative Analysis is used when the researcher wishes to analyze data that are subjective and not numerical. Quantitative Analysis: In the quantitative analysis the data is analyzed through statistical means.

Systems and methods for automated screening and prognosis of cancer from whole-slide biopsy images

InactiveUS20140233826A1Accurate and unambiguous measureReduce dependenceImage enhancementMedical data miningFeature setProstate cancer
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.
Owner:BOARD OF RGT THE UNIV OF TEXAS SYST

Logistics distribution control method with soft time windows

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.
Owner:ZHEJIANG UNIV OF TECH

Photovoltaic power station fault diagnosis method based on fuzzy production rule knowledge base

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.
Owner:STATE GRID CORP OF CHINA +1

Mountain torrent disaster risk division and prediction method based on GIS (geographic information system)-neural network integration

ActiveCN108280553ASolve the problem of spatial scale uncertaintyReduce the impact of subjective arbitrarinessClimate change adaptationForecastingLinear relationshipIndex system
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.
Owner:SUN YAT SEN UNIV

Comprehensive quantitative determination method for grouting reinforcement effect of underground engineering crushed surrounding rocks

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.
Owner:SHANDONG UNIV +1

Primer, probe, test kit and method for real-time fluorescent quantitative PCR detection of novel coronavirus 2019-nCoV

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.
Owner:TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH

On-site quick detection method for organic pollutants in water

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.
Owner:EAST CHINA UNIV OF SCI & TECH

Chiral analysis method for nicotine in tobacco juice of electronic cigarette

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.
Owner:ZHENGZHOU TOBACCO RES INST OF CNTC

Dual-mode emotion identification method and system based on facial expression and eyeball movement

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.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)

Component analyzer for laser probe micro-area

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.
Owner:HUAZHONG UNIV OF SCI & TECH
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