354results about How to "High accuracy of results" patented technology

A method and system for monitoring traffic flow includes assigning a subset of sampling points to a node or unique pair of nodes. The sampling points are determined to be the most likely to monitor data traffic, and preferably all data traffic, associated with the node or node pair. The sampling point subset may automatically be determined and assigned to the node or node pair, based, for example, on historical traffic within the network. The method further includes collecting diagnostic network traffic data from the sampling points, and obtaining sampled traffic flow counts for a flow associated with a node pair from the diagnostic traffic data collected from the sampling points assigned to the source and destination nodes of the node pair. The method further includes performing a function on the sampled traffic flow counts to obtain an estimated traffic flow count for the respective flow.

A non-invasive screening or diagnostic method for determining the likelihood of a fetus with a genetic abnormality or a potential pregnancy complication, which utilizes a liquid blood sample from a pregnant woman. Antibodies specific to a section of histone 3.1 which is exposed to a far greater extent in chromatin of fetal origin than in chromatin of maternal origin are used to sequester and isolate such fetal nucleosomes including the associated fetal DNA. Following isolation / enrichment of such fetal DNA, genetic analysis is carried out using known molecular diagnostics.

The invention discloses a method for obtaining a resident travel characteristic parameter based on mobile phone positioning data. The method comprises the following steps of: (1) collecting mobile phone positioning data; (2) filtering the mobile phone positioning data, matching the mobile phone positioning data to traffic zones, and obtaining the matched mobile phone positioning data; (3) using users as units, ordering the matched mobile phone positioning data in one day by time, merging the continuous data in the same one traffic zone into one piece, and obtaining mobile phone positioning pretreatment data; (4) according to the number of emerged pieces and influence duration, judging residing points, restoring a travel path between two residing points, and obtaining the travel distance and the travel speed, and then obtaining a travel log table of all users; (5) on the basis of the matched mobile phone positioning data, statistically obtaining a place of residence and workplace result table; and (6) and conjointly analyzing the travel log table and the place of residence and workplace result table, and obtaining resident travel characteristic parameters. The method has the characteristics of low cost, large sample quantity, high precision and high time validity.

The present invention provides an evaluation method and an evaluation device for water breakthrough risk of gas wells in gas reservoirs with aquifers, the method comprising the following steps: building evaluation factors that influence water breakthrough risk of gas wells in gas reservoirs with aquifers; acquiring weight vectors of the evaluation factors based on an analytic hierarchy process; building a fuzzy relationship matrix between the water breakthrough risk of gas wells in gas reservoirs with aquifers and its evaluation factors; and synthesizing the fuzzy relationship matrix and the weight vectors according to a weighted average fuzzy synthesis operator, to acquire a comprehensive evaluation result of water breakthrough risk of gas wells in gas reservoirs with aquifers. The present invention improves the accuracy of the evaluation result of water breakthrough risk of the gas wells, and is able to obtain an evaluation result that is more consistent with the case of actual water breakthrough of gas wells in gas reservoirs with aquifers.

A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data is provided. Particularly, a genomics analysis platform for executing a sequence analysis pipeline is provided. The genomics analysis platform includes one or more of a first integrated circuit, where each first integrated circuit forms a central processing unit (CPU) that is responsive to one or more software algorithms that are configured to instruct the CPU to perform a first set of genomic processing steps of the sequence analysis pipeline. Additionally, a second integrated circuit is also provided, where each second integrated circuit forming a field programmable gate array (FPGA), the FPGA being configured by firmware to arrange a set of hardwired digital logic circuits that are interconnected by a plurality of physical interconnects to perform a second set of genomic processing steps of the sequence analysis pipeline, the set of hardwired digital logic circuits of each FPGA being arranged as a set of processing engines to perform the second set of genomic processing steps. A shared memory is also provided.

The invention discloses a laser radar road reconstruction and expansion exploratory survey design method. The method comprises the steps of A designing a result coordinate benchmark, measuring basic control and measuring pavement control points; B determining parameters including the data density, acquisition route and the like, and acquiring vehicle laser radar data along a main road and a ramp; C determining parameters including the data density, flight design and the like, and acquiring airborne laser radar data according to a designed flight strip; D realizing laser radar data fusion by refining laser point cloud plane coordinates and elevation coordinates and refining track line data; E acquiring characteristics of road traffic lane lines by using point cloud intensity information, and realizing extraction of characteristic lines of road pavements, protection and the like by adopting a method of projecting three-dimensional point clouds to a two-dimensional plane; F recovering planar elements and longitudinal surface elements of an existing road; G producing a DEM (digital elevation model), a DOM (digital orthophoto map) and a DLG (digital line graphic); H collaboratively designing laser radar measurement and road reconstruction and expansion CAD (computer-aided design), designing flat, longitudinal and transverse cross sections of a road, comparing and selecting schemes, and outputting final design drawings and charts.

The present invention aims to measure easily and accurately information about the panniculus (such as fatty layer, muscular layer, osseous layer) in the depth direction below the surface of a living body. To achieve this object, in an embodiment of the invention, a pair of current-carrying electrodes 1a, 1b and a pair of measuring electrodes 2a, 2b are rectilinearly arranged on the surface of the living body so that the measuring electrode 2a within a small area is placed very close to the current-carrying electrode 1a with small area. While constant current from a radio frequency current source 3 flows between the current-carrying electrodes 1a, 1b, the voltage between the measuring electrodes 2a, 2b is measured by the detector 4. The potential of the measuring electrode 2a is almost equal to the potential at the contact position P3 of the current-carrying electrode 1a, and the potential of the measuring electrode 2b is almost equal to the potential at the deepest position P1 of the vertical part 5c inside the living body 5. Therefore, the potential difference between the upper and lower ends of the vertical part 5c. The bioelectical impedance Zv of the vertical part 5c is calculated from the potential difference and the current i.

A method for fine tuning of a robot program for a robot application comprising an industrial robot, a tool and a work object to be processed by the tool along a path comprising a number of desired poses on the work object, the robot program comprises a number of program instructions containing programmed poses corresponding to the desired poses, wherein the method comprises: defining a fine tuning coordinate system Xft, Yft, Zft, selecting one of said programmed poses pi, calculating said selected pose in the fine tuning coordinate system, producing program instructions for said selected pose in the fine tuning coordinate system, running said one or more program instructions by the robot, determining the difference between the pose obtained after running the program instructions and the desired pose, adjusting the fine tuning coordinate system in dependence of said difference, producing program instructions for said selected pose in the adjusted fine tuning coordinate system Xft', Yft', Zft'.

A method and apparatus for gathering, organizing and disseminating web-based content to others, optionally with the association and display of dynamic metadata. The invention enables the operator to select the URL addresses of data accessible via the internet and group them together into a collection that is stored in a database on a central server that can then be disseminated to others via hyperlink. Metadata such as messages are stored on the central server and can been associated with each member of the collection and can be updated dynamically by the recipients. The hyperlink launches a web browser that retrieves the URL collection and metadata from the server and presents it to the recipient in a navigable apparatus. The invention enables digital media performances to be a nexus for associating and accessing the hyperlinks to launch said collections and for associating additional metadata.

A system, method, and computer program product search a cache database in response to a search request from a user, determine which of the search results is most likely to be preferred by the user, and verify the preferred results against a real-time database. If the verification determines that the preferred results are accurate, then all the search results are provided to the user. If the verification determines that the preferred results are not accurate, then those results are deleted and the remaining results are provided to the user. As a result, the accuracy of the results returned to the user is increased, while queries of the real-time database are utilized only where most useful and are thereby reduced.

A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data is provided. Particularly, a genomics analysis platform for executing a sequence analysis pipeline is provided. The genomics analysis platform includes one or more of a first integrated circuit, where each first integrated circuit forms a central processing unit (CPU) that is responsive to one or more software algorithms that are configured to instruct the CPU to perform a first set of genomic processing steps of the sequence analysis pipeline. Additionally, a second integrated circuit is also provided, where each second integrated circuit forming a field programmable gate array (FPGA), the FPGA being configured by firmware to arrange a set of hardwired digital logic circuits that are interconnected by a plurality of physical interconnects to perform a second set of genomic processing steps of the sequence analysis pipeline, the set of hardwired digital logic circuits of each FPGA being arranged as a set of processing engines to perform the second set of genomic processing steps. A shared memory is also provided.

Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can he provided for determining magnetic susceptibility information associated with at least one structure.

The invention discloses a text detection and recognition method combining character level and character string level classification. According to the method, pixel sets possibly belonging to the same character are extracted from images to form alternate characters; alternate characters which do not meet the geometric feature statistic rule are filtered out; a character level classifier based on the character rotation and dimension invariance features is adopted for classifying the alternate characters, and the probability that the alternate characters are certain characters is determined; the characters are combined two by two, and initial character strings are formed; the similarity between every two character strings is calculated, two character strings with the highest similarity are combined into new character strings until no character strings capable of being combined exist; a character level classifier based on the character string structure feathers is adopted for classifying the character strings to determine the character strings with semanteme; and the probability that character strings to be recognized are certain characters is utilized for recognizing the character strings, and the semantic text is obtained. The text detection and recognition method has the advantages that the text detection and recognition process is used as a whole, the interaction of the text detection and the recognition is utilized for improving the result precision, and simplicity and high efficiency are realized.

The invention discloses a polarized SAR (synthetic aperture radar) image classification method based on a depth PCA (principal component analysis) network and an SVM (support vector machine) classifier. The polarized SAR image classification method includes filtering a polarized SAR image, extracting a shape feature parameter, a scattering feature parameter, a polarization feature parameter and independent elements of a covariance matrix C, and combing and normalizing into new high-dimensional features serving as data to be processed in a next step; according to actual ground feature flags, randomly selecting 10% of data with flags from each type to serve as training samples; whitening the training samples to serve as input to train a first layer of the network, taking a result as input of a second layer to train the second layer of the network, and performing binaryzation and histogram statistics on an output result; taking output of the depth PCA network as a finally learned feature training SVM classifier; whitening test samples, and inputting the test samples into a trained network framework to predict and calculate accuracy; coloring and displaying a classified image and outputting a final result.

A system, method and apparatus for executing an HMM analysis on genetic sequence data includes an integrated circuit formed of a set of hardwired digital logic circuits that are interconnected by physical electrical interconnects. One of the physical electrical interconnects forms an input to the integrated circuit that may be connected with an electronic data source for receiving reads of genomic data. The hardwired digital logic circuits may be arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired digital logic circuits to perform one or more steps in the HMM analysis on the reads of genomic data. Each subset of the hardwired digital logic circuits may be formed in a wired configuration to perform the one or more steps in the HMM analysis.

A system includes a non-destructive testing (NDT) system having an NDT probe and a processor. The NDT probe includes a testing sensor and a motion sensor. The testing sensor is configured to capture sensor data from an inspection area, and the motion sensor is configured to detect a measurement speed at which the NDT probe moves relative to the inspection area. The processor is configured to determine a speed comparison between the measurement speed and a reference speed range.

A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data is provided. Particularly, a genomics analysis platform for executing a sequence analysis pipeline is provided. The genomics analysis platform includes one or more of a first integrated circuit, where each first integrated circuit forms a central processing unit (CPU) that is responsive to one or more software algorithms that are configured to instruct the CPU to perform a first set of genomic processing steps of the sequence analysis pipeline. Additionally, a second integrated circuit is also provided, where each second integrated circuit forming a field programmable gate array (FPGA), the FPGA being configured by firmware to arrange a set of hardwired digital logic circuits that are interconnected by a plurality of physical interconnects to perform a second set of genomic processing steps of the sequence analysis pipeline, the set of hardwired digital logic circuits of each FPGA being arranged as a set of processing engines to perform the second set of genomic processing steps. A shared memory is also provided.

The invention relates to a quick calibration method for an inertial measurement unit (IMU). According to the method, twelve error coefficients such as gyro zero bias, scale factor, accelerometer zero bias and scale factor can be calibrated precisely within a short time just by holding and rotating the IMU to traverse directions by a user without using any external devices. The quick calibration method for the IMU provided by the invention has the characteristics of no hardware cost, high efficiency and simpleness and practicability, and a certain calibrating precision can be ensured. The quick calibration method for the IMU is in particular suitable for quick calibration in the field of middle-precision and low-precision IMUs, the environment sensitive problems of parameters of micro-mechanical IMUs are effectively solved, and popularization and application of MEMS (Micro-electromechanical Systems) inertial components are promoted.

The invention relates to the technical field of hyperspectral image classification, and discloses a hyperspectral image deep learning classification method, device and equipment and a storage medium,which are used for improving the accuracy and efficiency of hyperspectral image classification. The method comprises the following steps: acquiring a to-be-classified hyperspectral image; carrying outrandom clipping on a to-be-classified hyperspectral image according to a preset window size and the marked sample set to obtain a to-be-trained sample set; expanding the data set through image transformation to obtain a corresponding deep learning sample set; extracting spatial spectrum features by adopting a convolutional recurrent neural network and a three-dimensional convolutional neural network; and classifying the hyperspectral images through a preset neural network classification model obtained through training to obtain a corresponding image classification result. By constructing thedeep neural network model, the deep abstract features of the hyperspectral image can be automatically extracted, the workload of manual feature extraction and optimization is effectively reduced, andthe end-to-end automatic identification and classification of the hyperspectral image are realized.

An electronic clinical chart system having a search function based on comparison including measurement data obtained at the examination stage when a doctor in charge searches for similar case patients showing a symptom and the results of examinations similar to those of a new patient from past cases stored in the electronic clinical chart when making a diagnosis for a disease cause of the new patient is provided. The electronic clinical chart system is an electronic clinical chart system including: a patient electronic clinical chart database storing patients' examination data, clinical finding data and treatment data as digitized clinical chart information of patients; an input device inputting examination data, clinical finding data and treatment data as clinical chart information of a new patient; an extraction device extracting clinical chart information of similar case patients similar to the input clinical chart information of the new patient from the database; and a clinical chart information disclosing device disclosing to a viewer the contents of the extracted clinical chart information of similar case patients.

The invention proposes a pipe orifice spatial position positioning method based on vision; the positioning method mainly includes the steps: 1) the robot hand-eye relation is calibrated; the calibration and conversion of a plurality of coordinate systems determine the geometrical mapping relation of the 2D pixel coordinates and the three-dimensional spatial scene; 2) the image of the condenser is obtained; the pipe orifice image point set is segmented and the pipe orifice curve is fitted to extract the center image point of each pipe orifice; 3) the depth information is computed and the actual position of the pipe orifice space is further determined according to the image point of the pipe orifice center and the parameters of K, R and t. when the underwater cleaning robot starts the high-pressure water-spraying gun to wash the pipe orifice, the method is adopted to assist the robot in searching and positioning the position of the pipe orifice, so as to enable the robot to realize the automatic positioning of the pipe orifice and finish the washing operation. The method can greatly improve the accuracy in the pipe orifice positioning for the robot, the automation degree of the robot which replaces humans to work, the operational performance and the environmental adaptability of the robot.

A flow cytometer (700) capable of using electronics (7, 9) to analyze a large dynamic range while avoiding and / or correcting traditional limitations of acquisition electronics. The invention allows for measuring signal characteristics, which may include but are not limited to linear peak, integral, logarithmic peak, and pulse width. Other system parameters may also be generated by the invention to indicate timing or status information. Accurate and precise measurements may be performed by correcting for input errors if needed, and by transforming the input signal (1) to produce a more easily measured form.

A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data includes a quantum computing device formed of a set of hardwired quantum logic circuits interconnected by a plurality of superconducting connections to process information represented as a quantum state that is configured as a set of one or more qubits. The hardwired quantum logic circuits may be arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired quantum logic circuits to perform one or more steps in the bioinformatics analysis on the reads of genomic data. Each subset of the hardwired quantum logic circuits may be formed in a wired configuration to perform the one or more steps in the bioinformatics analysis.

A method of monitoring traffic flow within a network of nodes, and a recordable medium containing a computer program with instructions that, when executed, performs such method, is provided. The method comprises assigning sampling points to a node or unique pair of nodes. In one method, the sampling points contained within the assigned subset are determined to be the most likely to monitor data traffic, and preferably all data traffic, associated with the node or node pair. The sampling point subset may automatically be determined and assigned to the node or node pair, and such assignment can be based on historical traffic within the network. The method further comprises collecting diagnostic network traffic data from the sampling points, and obtaining sampled traffic flow counts for a flow associated with a node pair from the diagnostic traffic data collected from the sampling points assigned to the source and destination nodes of the node pair. The method further comprises performing a function, such as a combinatory function, on the sampled traffic flow counts to obtain an estimated traffic flow count for the respective flow. If multiple node pairs are monitored, a data traffic matrix containing a plurality of traffic flow counts can be generated.

The invention discloses a method for predicting coke quality through nonlinear optimization coal blending based on coal rock vitrinite total reflectance, thereby providing important technical assurance for the improvement of the stability and quality of coke produced by a coke making enterprise. The method provided by the invention comprises the following steps of: establishing a coking coal resource information database, and inputting the caking property index of coking blended coal and the coal rock index of single coking coal into the coking coal resource information database; and establishing a coke quality prediction model through a support vector machine, and then predicting the quality index of the coke according to the coal-quality caking property index level of the coking blended coal, wherein the coal-quality caking property index level comprises two factors, namely the maximum thickness value Y of a gelatinous layer and a caking index value G, and comprises coal rock vitrinite total-component reflectance and the liver-inert ratio of macerals. The method provided by the invention is capable of characterizing the maximum thickness value Y of the gelatinous layer indicating the quantity of metaplast in the softening process of the coking coal and indicating the caking property quality of the metaplast, thereby realizing the prediction process with the goal of predicting the mechanical strength and thermal state performance of the coke.

The invention discloses a method and a system for production scheduling based on improved particle swarm optimization and a heuristic strategy. The method comprises the following steps: proposing constraint conditions; defining an objective function, namely, a fitness function; carrying out particle swarm initialization; randomly initializing swarm particles, including position and velocity; carrying out iterative optimization: updating the velocity and position of particles, and finding out an optimal solution; setting the maximum number of iterations as an iteration termination condition, judging whether the iteration termination condition is satisfied, and outputting a global optimal solution if the iteration termination condition is satisfied; if iteration termination condition is not satisfied, jumping to the previous step to continue to find out an optimal solution. The beneficial effects are as follows: the computing speed of the algorithm is increased by using a novel particle encoding method; the problem of local optimum in the process of the traditional particle swarm optimization algorithm can be solved; the phenomenon of infeasible solutions is avoided to a great extent; and efficient and optimal production scheduling is realized.

The invention discloses a method for performing nonlinear prediction on coke quality on the basis of cohesiveness and coal-rock indexes of single coal, which provides important technical guarantee for improving the stability and quality of coke produced by coke making enterprises. The method comprises the following steps of: establishing an information database storing qualities and coke quality indexes of the single coal for coking, and inputting the cohesiveness indexes and the coal-rock indexes of the single coal for coking into the coal information database; establishing a coal quality prediction model, and predicting quality indexes of matched coal by virtue of a clustering and support vector machine; defining the quality indexes of the matched coal, and predicting quality indexes of the coke according to the quality indexes of the single coal; and establishing a model for predicting the crushing strength and abrasive resistance of the coke. The invention further provides a coke quality prediction system with optimized coal blending of coal-rock, which aims to stabilize and improve the coke quality and reduce the coal blending cost, can form a prediction model with multiple parameters and high accuracy for the coal quality indexes and the coke quality indexes, and simultaneously, has a real-time updating function or a manual intervention function.

The invention discloses a database based complex-contour aircraft distributed heat environment parameter prediction method and belongs to the field of aircraft heat environment design. The method comprises the steps that an aircraft surface heat flow database is established, order reducing processing is conducted on the database by utilizing a POD method to obtain orthogonal basis vectors of the database, and aircraft surface heat environment parameters can be predicted along a ballistic trajectory by combining with a corresponding basic coefficient interpolation method. The method can really reflect the space distribution characteristics and interference characteristics of the aerodynamic heat environment for all points on the surface of a complex-contour aircraft. Value result comparison shows that the method can remarkably improve the computational efficiency, and prediction precision is not lost. A surface distributed heat flow is provided for calculation of a heat proof temperature field through the points along the ballistic trajectory, more exquisite temperature distribution can be obtained, and accordingly the design level of a whole heat preventing and insulation system is improved.

The invention discloses an improved method for extracting Fourier transformation infrared spectrum characteristic variable of multi-component gas by aid of TR (Tikhonov regularization). The method includes resolving a characteristic variable extracting model into weight sum of the difference of multiple spectral line values; converting an original TR objective function into an objective function based on the model; then adding a bound term of the difference of spectral line positions in the objective function based on the model; realizing optimal functional solution by means of an LASSO (least absolute shrinkage and selection operator) arithmetic based on an Engl's criterion so as to obtain the optimal value of a regressive vector; and obtaining the characteristic variable capable of overcoming interferences caused by spectrum baseline deviation. The accuracy of online multi-component gas analysis results can be improved by the aid of the improved method. The improved method for extracting Fourier transformation infrared spectrum characteristic variable of multi-component gas by aid of TR can be used for multi-component gas quantitative spectrometric analysis application in the fields of gas logging for petroleum and natural gas exploration, quality control and fault diagnosis of products, hardware, chemical engineering and environmental protection.

The invention discloses a remote sensing technology-based grassland locust plague progressive prediction method. According to the method, the distribution of key habitat elements which influencing the development of a grassland locust population is obtained by the means of quantitative remote sensing inversion, meteorological station observation and the like, wherein the key habitat elements subjected to remote sensing inversion comprises land surface temperature, vegetation coverage and soil moisture; the spawning suitability, the incubation suitability and the growth suitability of locusts are analyzed quantitatively by establishing an evaluation model, and a locust plague risk early prediction model is established; a locust plague risk level prediction result is corrected by utilizing the remote sensing observation of an incubation period and a third period and the locust density data measured in the field according to the incubation and development time axes of the locusts, and the situations of a grassland locust plague are predicted progressively. According to the technical scheme provided by the invention, the progressive update of sensitive habitat elements is obtained by performing quantitative inversion on remote sensing data with higher time resolution, so that the prediction precision of a locust plague monitoring and prediction model is improved.