208 results about "Profile analysis" patented technology

A method and system for performing continuous (real-time) physics based prognostics analysis as a function of actual engine usage and changing operating environment. A rule-based mission profile analysis is conducted to determine the mission variability which yields variability in the type of thermal-mechanical loads that an engine is subjected to during use. This is followed by combustor modeling to predict combustion liner temperatures and combustion nozzle plane temperature distributions as a function of engine usage which is followed by off-design engine modeling to determine the pitch-line temperatures in hot gas path components and thermodynamic modeling to compute the component temperature profiles of the components for different stages of the turbine. This is automatically followed by finite element(FE) based non-linear stress-strain analysis using an real-time FE solver and physics based damage accumulation, life consumption and residual life prediction analyses using microstructural modeling based damage and fracture analysis techniques.

The present invention provides methods and compositions for isolating and detecting rare cells from a biological sample containing other types of cells. In particular, the present invention includes a debulking step that uses a microfabricated filters for filtering fluid samples and the enriched rare cells can be used in a downstream process such as identifies, characterizes or even grown in culture or used in other ways. The invention also include a method of determining the aggressiveness of the tumor or of the number or proportion of cancer cells in the enriched sample by detecting the presence or amount of telomerase activity or telomerase nucleic acid or telomerase expression after enrichment of rare cells. This invention further provides an efficient and rapid method to specifically remove red blood cells as well as white blood cells from a biological sample containing at least one of each of red blood cells and white blood cells, resulting in the enrichment of rare target cells including circulating tumor cells (CTC), stromal cells, mesenchymal cells, endothelial cells, fetal cells, stem cells, non-hematopoietic cells etc from a blood sample. The method is based upon combination of immuno-microparticles (antibody coated microparticles) and density-based separation. The final enriched target cells can be subjected to a variety of analysis and manipulations, such as flowcytometry, PCR, immunofluorescence, immunocytochemistry, image analysis, enzymatic assays, gene expression profiling analysis, efficacy tests of therapeutics, culturing of enriched rare cells, and therapeutic use of enriched rare cells. In addition, depleted plasma protein and white blood cells can be optionally recovered, and subjected to other analysis such as inflammation studies, gene expression profiling, etc.

A method and system for automatic diagnosis of possible brain disease is based on at least one brain scan image of a patient containing at least one feature of interest and a corresponding result of a medical profile analysis of the patient. A database containing parameters associated with at least one feature of a plurality of brain scan images each compiled from respective patient data and inserted into the database is searched so as to extract from the database a set of respective parameters each associated with the at least one feature and wherein in respect of each feature at least one of the corresponding parameters is indicative of a brain disease profile. The set of respective parameters is analyzed to determine a statistically significant brain disease profile which fits the patient based on the at least one feature of interest of the patient's brain scan image.

The present invention provides methods using a gene expression profiling analysis (1) to determine whether a human sample is a tumor using a gene set containing nucleic acid sequences of SEQ ID NOS: 1-7, 8-17 or 1-17; (2) to identify whether a tumor tissue is an adenocarcinoma (using a gene set containing nucleic acid sequences of SEQ ID NOS: 15, and 18-21) or a squamous cell carcinoma (using a gene set containing nucleic acid sequences of SEQ ID NOS: 22-27); and (3) to predict the prognosis of survival and metastasis in humans with tumor (using a gene set containing nucleic acid sequences of SEQ ID NOS:19, and 28-42 or SEQ ID NOS: 19, 29, 31, 40, and 42), particularly for those humans who are at the early stage of lung cancer. The gene expression profiling is preferably performed by cDNA microarray-based techniques and/or Real-Time Reverse Transcription-Polymerase Chain Reaction (Real-Time RT-PCR), and analyzed by statistical means.

Certain diseases of the retina are diagnosed by circular profile analysis of retinal parameters, such as thickness. Retinal thickness around a user-defined circle on the retina is measured by various ophthalmological techniques and ±mapped to a circular profile map. The circular profile map does not use segmentation of measurement data into arbitrary arcs, and thickness is mapped to a quasi-continuous range of display bands. The circular profile map is superimposed on a fundus image, or other two-dimensional image of the retina, allowing association of the circular profile map with the presence of blood vessels and other anatomical features. The simultaneous display of a series of circular profile maps generated from sets of measurement data taken at different times permits the ready visualization of the progression of retinal abnormalities.

A measuring system includes a coordinate measuring machine for driving a scanning probe and a host computer. The host computer includes a compensation table (53) and a profile analysis unit (54). The compensation table stores, as compensation data, compensation coefficients to correct counter values of a probe counter (415), and compensation radiuses “r” to the workpiece surface concerning central coordinate values of a contact portion, for respective contact directions. The profile analysis unit has a contact direction calculation unit (542), a compensation data selection unit (543), a compensation calculation unit (544). The contact direction calculation unit calculates the contact direction along which the scanning probe comes into contact with a workpiece W, and the compensation data selection unit selects compensation data set up in the compensation table based on thus calculated contact direction.

The invention discloses a building facade three-dimensional reconstruction method based on knapsack type three-dimensional laser point cloud data, and relates to the technical field of geographic information. The method comprises the following steps: S1, acquiring building point cloud data; S2, automatically extracting building facade point cloud data; S3, automatically segmenting the single buildings; S4, acquiring a geometric position boundary of the building facade; and S5, building facade three-dimensional reconstruction. A point cloud filtering algorithm based on voxel projection densityis adopted to effectively filter non-building targets such as the ground and vegetation while a relatively complete building target is reserved, and then automatic segmentation of a single building isrealized by utilizing an image global search and profile analysis method. An RANSAC algorithm is used to carry out facade automatic segmentation and redundant facade elimination on the single building point cloud to obtain a building facade geometric position boundary; and the two-dimensional boundary line is used to constrain the original point cloud data and an RANSAC algorithm is combined tocarry out facade three-dimensional boundary straight line fitting so as to obtain a building facade geometric frame model.

The invention discloses a small sand body boundary identification method and a small sand body space quantitative description method. The small sand body boundary identification method comprises the following steps: summarizing the development rules and scale of a sand body according to the geological situation of a region; summarizing the seismic response characteristics of a reservoir and carrying out seismic profile identification and interpretation through seismic forward modeling; processing earthquake in a frequency division way, extracting seismic attributes of different frequency bands, and adopting known well data analysis to preferably select seismic attributes better corresponding to the reservoir and the sand body; and finely describing the sand body by comprehensively adopting the geological rules, sand body seismic response characteristics and frequency-division seismic attribute analysis. The small sand body space quantitative description method comprises the steps of drawing the boundary of a sand body and determining a favorable area of a reservoir by the above method, and quantitatively describing the spatial shape of the sand body through well logging constrained inversion. The boundary of a described small sand body is accurate and quick to describe, and the accuracy of reservoir predication can be improved.

The invention relates to a method and system for recognizing a format template, belonging to the technical field of character recognition and comprising the following steps of: carrying out profile analysis on scanned pages, and finding out the format template with a superposition rate being up to a set threshold value with a page connected domain; matching tag blocks in the format template with information in the scanned pages, and extracting and recognizing information on page headers and footers matched with the tag blocks; cutting off the recognized tag blocks and submitting to following recognizing processes. A regional layout with a fixed format is recognized by adopting a region recognizing template and stripped from recognizing targets, thereby the efficiency of recognizing in a page region is increased. With the method provided by the invention, the recognized content of general scanned pages is simplified, and reorganization management can be performed manually and conveniently on the basis of the template.

A display apparatus for presenting an image comprises an image receiver (101) for receiving an image to be displayed. An image analyzer (103) performs a local image profile analysis on at least a first region of the image to determine a pixel value spatial variation characteristic. The image analyzer (103) is coupled to a scaling processor (105) which scales at least a second region of the image in response to the pixel value spatial variation characteristic. The scaling processor (105) is coupled to a presentation controller (107) which presents the scaled image. The scaling may specifically be adjusted dependent on a sharpness or spatial frequency characteristics of the image. The invention may allow an improved adaptation of the presentation of one or more images to the specific characteristics of the image(s).

A computer implemented system and method includes a recommendation engine that provides accurate recommendations based on an accurate analysis of the tastes and preferences of a user. The recommendation engine takes into consideration the information corresponding to the tastes and preferences of the users using information gathered from social networking profiles of the user as well as the reviews previously provided by the user.

The recommendation engine collaborates this information with the review related information obtained from the reviewers in order to ascertain the recommendations that would match the preferences and tastes of the user.

The invention relates to a flood forecasting method based on a water level sample. The flood forecasting method is characterized by comprising the following steps of S01: simulating a runoff formation process by adopting a water tank mode, and abstracting the process of converting rainfall into runoff into a relation between the water storage and the outflow of a drainage basin; S02: establishing a function relation between the flow and the water level, performing function fitting on the water level and the average velocity of the cross section first by adopting a zero-crossing power function, and then establishing a relation between the water level of the cross section and the flow; S03: obtaining a relation between the rainfall capacity and the outflow water level; S04: continuously improving the accuracy of a hydrological model by comparing an obtained outflow water level process with an actually measured water level value and adjusting parameters of the hydrological model; S05: inputting the rainfall capacity and the surface evaporation quantity of the upstream drainage basin by aiming at the calibrated hydrological model, so as to obtain the downstream outlet water level process, judging whether a forecasting area is flooded according to a water level peak value, and analyzing the lag time between a rainfall peak and a flood peak according to existing water level rainfall data, so as to determine the peak time.

A method of aligning a polarization-maintaining optical fiber by image profile analysis is provided. The method of aligning a polarization-maintaining optical fiber may include analyzing the polarization-maintaining optical fiber by illuminating a side of the optical fiber; rotating the optical fiber at incremental rotation angles; obtaining an image profile of the optical fiber at each rotation angle such that a focal plane of the image profile is positioned within the optical fiber; measuring an image parameter at each rotation angle based on the respective image profile; and constructing a measured image parameter profile of the optical fiber as a function of rotation angle based on the measured image parameters. The method may also include constructing an approximated image parameter profile of the optical fiber as a function of rotation angle by curve-fitting a mathematical function to the measured image parameter profile.

The invention relates to a method for diagnosing internal damage of cereal grains based on a micro-CT (computed tomography) technology. Micro-CT equipment is utilized for performing X-ray micro-CT scanning on unhulled cereal grains, a profile scanning sequence image of a damaged grain is obtained, threshold segmentation is utilized for processing the profile scanning sequence image, three-dimensional images of a grain body and cracks are reconstructed respectively, calculation is performed with a volumetric reconstruction method to obtain the volume of a grain body target and the volume of the cracks, the internal damage degree of the grain is measured based on the volume of the grain body target and the volume of the cracks, the three-dimensional image of the cereal grain body is subjected to multi-angle profile analysis and crack three-dimensional image analysis, a distribution situation of the cracks in the cereal grain is visually represented, and the number and sectional area of cracks are quantified. Due to the adoption of the technical scheme, a structure for analyzing the internal damage degree of the cereal grains is obtained, a three-dimensional internal result image of a sample is further obtained, and the internal damage degree of the cereal grains can be quickly and accurately identified without removing cereal grain hulls and changing shapes and internal structures of the cereal grains.

A completion design method by bottom water reservoir horizontal well segregated water control includes the steps of determining horizontal well water control well sections by analyzing and determining the well sections needing to be packed during segregated completion according to collected data information, and defining final water control well sections; performing optimization design of a segregated scheme by determining reasonable segregated number and segregated length according to the final water control well sections; performing optimization design of a completion scheme by taking minimum difference of water breakthrough time of the water control well sections of the segregated scheme and minimum completion total additional percolating resistance as a principle, optimizing to obtain reasonable liquid production capacity and additional resistance values of the water control well sections, and determining throttling passage parameters of the water control well sections; and performing horizontal well segregated water control completion construction by performing construction of the water control completion scheme according to the reasonable liquid production capacity, the additional resistance values and the throttling passage parameters, and controlling the liquid production capacity of each water control well section to achieve water control and oil stabilization.

The invention relates to a seismic source inversion method based on micro seismic data and an SPSA optimization algorithm. The method comprises the following steps: building a horizontal layered velocity model according to the analysis of logging data and underground rock property data; fast modeling a micro seismic event, adjusting the angle of ray in a dichotomy approach to optimize the ray tracking path, calculating the first-arrival travel time, and then calculating the travel time difference between two adjacent detectors; adding the travel time difference to random perturbation as an observed value; using an SPSA algorithm to calculate the first-arrival travel time difference in the same way based on the location of a micro seismic source obtained through iterative updating, constantly optimizing the location of the seismic source by fitting calculated data and the observed value, and checking the difference between the calculated data and the observed value; if the precision is satisfied or the maximum number of iterations is achieved, stopping updating, outputting a result, and completing positioning; or, continuing next iteration. By calculating out a micro seismic event source rapidly and efficiently, the accuracy of seismic source locating is improved.

Certain diseases of the retina are diagnosed by circular profile analysis of retinal parameters, such as thickness. Retinal thickness around a user-defined circle on the retina is measured by three-dimensional optical coherence tomography or other ophthalmological techniques. Abnormally thin regions are identified by comparing a measured function of thickness vs. polar angle to a reference function of thickness vs. polar angle. A degree of abnormality is characterized by the ratio of the integral of the measured thickness function to the integral of the reference thickness function over the abnormally thin region, as specified by a range of polar angles.

The present invention discloses a pipeline network spatial analysis method based on a breadth-first search algorithm. The method comprises: performing outward extension from a source point V0, wherein a distance from the source point V0 to a firstly accessed vertex is K and non-accessed adjacent vertices are V1, V2 and V3 until Vn; then, by taking the vertices as centers, accessing other non-accessed vertices with distances of K+1 to the source point V0 until all the vertices are accessed, wherein n is an integer greater than 1; and therefore, achieving connectivity analysis, pipe-broken analysis, shortest path analysis and profile analysis of a pipeline network. The method provided by the present invention uses a breadth-first search algorithm as a unified method for pipeline network traversal, explores calculation of the pipeline network by a breadth-first traversal algorithm of a digraph, facilitates implementation and update of the algorithm, facilitates derivation of other algorithms, and perfects a community management service system, an innovative community management mode and service functions.

The invention discloses a building settlement prediction method based on historical data analysis. The building settlement prediction method based comprises the following steps of collecting monitoring data, dividing the monitoring data into learning data and inspection data according to the chronological order, analyzing historical monitoring data, building a support vector machine regression prediction model, building a Newton interpolation prediction model, building a weighted moving average method prediction model, building a combined model, calculating the weight of the combined model, and using the combined model to predict the building settlement value at any moment. Compared with a conventional method, the building settlement prediction method has the advantages of being high in accuracy, simple in calculation, wide in application range, high in computational efficiency and the like.

A method of optimizing an application to reduce local memory usage. The method can include instrumenting at least one executable class file of the application with analysis code, the executable class file including bytecode. The method also can include executing the class file on a virtual machine, wherein during execution the analysis code generates data related to the application's use of local memory. The method further can include, via a processor, analyzing the data related to the application's use of the local memory to generate a memory profile analysis. The method further can include, based on the memory profile analysis, automatically revising at least one portion of the bytecode to reduce an amount of the local memory used by the application.

The invention provides a method for profile analysis in image layout area, belonging to the field of digital image processing technology and character recognition. The method comprises the following steps: 1), calculating minimum circumscribed rectangle in each layout area; 2), finding out the circumscribed rectangles in others area, wherein the circumscribed rectangles are intersected with the circumscribed rectangle in the existing area; recording a rectilinear polygon in the existing area formed by a peak of the circumscribed rectangle in existing area if the others areas does not exist; and if other areas exist, continuing the following steps; 3), carrying out classification mark for the pixel points in the circumscribed rectangle int the existing area; 4), segmenting the pixel points in the circumscribed rectangle of the existing area based on pixel points by classification mark; 5), obtaining rectilinear polygon profile in the existing area based on segmented pixel points in step 4); and 6), recording the peak of the rectilinear polygon profile to form the rectilinear polygon in the existing area.