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

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.

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 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 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.

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.

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.

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.

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.

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.