137results about How to "Reliable reference" patented technology

A data processing apparatus and method are provided for performing hazard detection in respect of a series of access requests issued by processing circuitry for handling by one or more slave devices. The series of access requests include one or more write access requests, each write access request specifying a write operation to be performed by an addressed slave device, and each issued write access request being a pending write access request until the write operation has been completed by the addressed slave device. Hazard detection circuitry comprises a pending write access history storage having at least one buffer and at least one counter for keeping a record of each pending write access request. Update circuitry is responsive to receipt of a write access request to be issued by the processing circuitry, to perform an update process to identify that write access request as a pending write access request in one of the buffers, and if the identity of another pending write access request is overwritten by that update process, to increment a count value in one of the counters. On completion of each write access request by the addressed slave device, the update circuitry performs a further update process to remove the record of that completed write access request from the pending write access history storage. Hazard checking circuitry is then responsive to at least a subset of the access requests to be issued by the processing circuitry, to reference the pending write access history storage in order to determine whether a hazard condition occurs. The manner in which the update circuitry uses a combination of buffers and counters to keep a record of each pending write access request provides improved performance with respect to known prior art techniques, without the hardware cost that would be associated with increasing the number of buffers.

The invention discloses a real-time auxiliary system for a controllable capsule endoscope operation on the basis of deep learning, and an operation method. The system comprises at least one client side and a service side, wherein at least one client side is connected with a capsule endoscope, is used for obtaining a capsule endoscope image collected by a current capsule endoscope and uploading thecapsule endoscope image to the service side through a network, and is also used for receiving and displaying an analysis result fed back from the display service side; the service side carries out capsule endoscope image processing according to the capsule endoscope image sent from the client side, judges positions and position characteristics corresponding to the capsule endoscope image in realtime, and feeds back the analysis result to the client side; and the service side comprises a sample database, a convolutional neural network model and a web service module. By use of the system, theimage collected by the controllable capsule endoscope is subjected to blind area monitoring and cancer focus identification and is displayed on the client side, an operation physician is assisted in checking the controllable capsule endoscope, detection accuracy and effectiveness is improved, and a missed diagnosis probability of occurrence is lowered.

The invention relates to a method for predicting the water cut increasing rate of a water-drive oil field. The method includes the following steps that cylindrical rock samples are taken from a natural rock core of the oil field, a rock core displacement experiment is performed, and a series of parameters such as water saturation Sw, oil phase relative permeability Kro and water phase relative permeability Krw are obtained; irreducible water saturation Swi and residual oil saturation Sor are obtained, and the oil and water viscosity ratio mur is obtained through measurement; the relations between the oil and water relative permeability ratio and the water saturation, the reflected relational expression between the water content and the recovery percentage, and the relational expression between the water cut increasing rate and the recovery percentage are obtained with a power method. According to the method, oil and water relative permeability materials are utilized, a power type mathematical processing method is adopted, the water content and the water cut increasing rate of the oil field are described, the development effect and the development degree of the oil field are analyzed and evaluated, development measures are planned according to the method, the yield of the oil field is reasonably planned and deployed, and more effective guidance can be provided for development of the oil field.

The present invention discloses an integrated data mining method for similarity of accounts on social network sites. The method can be used for monitoring online public opinions and solves the identification problem that the same user has a plurality of accounts on the social network sites. The method disclosed by the invention comprehensively considers three factors which affect the integrated similarity of the accounts of the social network sites: personal attribute, inter-behavior and content, and determines the weight of the similarity of each factor in calculation of the integrated similarity by using a training sample. Compared to the prior art, the method disclosed by the invention has the technical advantages that (1) the method provides quantitative, reliable and comprehensive reference for identifying the plurality of the accounts on the social network sites of the same user and is suitable for automatic processing by a computer under a big data environment; and (2) the weight of the similarity of the each factor in the calculation of the integrated similarity is determined by adopting the training sample, so that the consistence of the result and a manual processing result can be maintained.

The invention discloses a 360-degree panorama image generation method based on a single pick-up head, mainly for solving the problem that four pick-up heads are needed for a conventional method for realizing a vehicle-mounted 360-degree panorama image. The method provided by the technical scheme comprises the following steps: 1, through calibration of a camera, solving a homography conversion matrix M for converting an image into a top view; 2, converting each frame of the image into the top view, and performing feature point detection and matching on the top view after conversion of each frame; 3, solving a rotation matrix and a translation vector between two adjacent frames, and realizing splitting of the top view; and 4, determining whether shooting stops, if the shooting does not stop, returning to the second step, if the shooting stops, stopping circulation, and after a vehicles runs a distance greater than one vehicle body, obtaining a 360-degree dynamic panorama image around the vehicle. The method provided by the invention has the advantages of low cost and simple installation, realizes the function of obtaining the 360-degree panorama image by use of the single pick-up head, is high in robustness, and can be applied to observation of circumstances around the vehicle during driving or parking.

The invention provides a single-lead electrocardio abnormal signal identification method based on generative adversarial networks and convolution recurrent neural networks, and mainly solves the problem that data concentration samples are unbalanced. Categories being low in data concentration data volume are subjected to data enhancement, and then identification and classification of electrocardioabnormal signals are performed, so that reference is provided for assistance of doctors, the wrong diagnosis rate and missed diagnosis rate are reduced, and the workload of the doctor can be alleviated. The generative adversarial networks are used for enabling the data concentration samples to achieve the relative balance, so that training the convolution recurrent neural networks can be realized, and good classification effects can be achieved.

The invention relates to design of micromechanical resonators and, more precisely, to the design of microelectromechanical systems (MEMS) resonators. The invention provides an improved design structure for a microelectromechanical systems (MEMS) resonator in which the width of the spring elements (3), (23-24), (27-30) is greater than the width of the electrode fingers (5-9), (25-26), (31-34), said widths specifically dimensioned so that the sensitivity of the resonant frequency change with respect to dimensional manufacturing variations d(Δω0 / ω0) / dδ approaches zero. The improved structure is frequency robust to manufacturing variations and enables reliable frequency referencing with good performance, particularly in small size solutions.

A method for determination of a curve of sandstone oil reservoir oil-water relative permeability under different temperature gradients comprises the following steps: 1) according to displacement experimental data of different temperature gradients under normal temperature conditions, determining curves of oil-water relative permeability at different experimental temperatures, and building a relationship formula for the variation rule of oil-water viscosity and endpoint saturation along with the experimental temperatures; 2) normalizing data of the curves of oil-water relative permeability under different temperature gradients, and determining values of A1, A2, n and m and a relationship formula for the values and the temperatures; and 3) building a relationship formula for oil phase relative permeability Kro and water phase relative permeability Krw with the temperature t. The method can quantitatively describe the influence of the experimental temperature on the curves of oil-water relative permeability, converts the curves of oil-water relative permeability under different temperature conditions, provides a more reliable reference for oil reservoir numerical value simulation, subsequent development program prediction and on-site construction works, and can effectively reduce costs and save time due to no need for performing of a lot of core displacement experiments.

The invention relates to a user interest portrait technology in the field of big data analysis, in particular to a news application software-based user interest label construction method and related equipment. The method comprises the steps of obtaining news information browsed and commented by a user on multiple types of news application software; calling a word segmentation system, constructinga keyword library, and calculating keyword weights; calculating an interest score according to news information browsed and commented by the user; and comparing the interest scores with a preset scorethreshold, screening out the interest scores higher than the score threshold, and updating the corresponding interest tags to a user tag library. According to the method, the browsing habit of the user is quantitatively analyzed, user behaviors are conveniently analyzed, and the accuracy of recommending content to the user is improved.

The invention discloses application of a detection reagent for detecting methylation of genes related to colorectal cancer and a kit, and relates to the technical field of gene detection. The kit comprises the detection reagent used for detecting methylation of the genes related to colorectal cancer, conducts methylation detection on specific areas in the genes SDC2 and TFPI2, takes the methylation detection result of the areas as a basis for auxiliary colorectal cancer diagnosis, is higher in sensitivity and specificity and provides a more accurate and reliable reference basis for early screening, diagnosis and the like for colorectal cancer or colorectal adenoma.

The invention discloses a method for predicting the optimal shut-in duration by coupling fluid flow and geological stress, comprising the following steps: determine basic parameters; obtain the fracture length, fracture width and reservoir stress distribution based on the basic parameters; calculate the oil saturation, pore pressure, and permeability and porosity after coupling change in different shut-in durations on the basis of the principle of fluid-solid coupling; take the oil saturation, pore pressure, and permeability and porosity obtained in Step 3 as initial parameters and calculate the production corresponding to different shut-in time on the basis of the productivity model; finally select the optimal shut-in time based on the principle of fastest cost recovery. The present invention can accurately predict the optimal shut-in duration after fracturing to improve the oil and gas recovery ratio in tight oil and gas reservoirs with difficulty in development and low recovery.

A character parameters obtaining method for a displacement control mechanism of a hydraulic pump and a detecting device for carrying out the method are disclosed. The method involves constructing a hydraulic system; outputting hydraulic energy by the hydraulic pump driven by a primary motor; detecting pressure of a displacement control mechanism; obtaining middle parameters by obtaining the time required for preset change of the pressure at the output end of the displacement control mechanism; obtaining character parameters of the displacement control mechanism according to the middle parameters. The method can obtain the character parameters of the displacement control mechanism by the pressure detection, so that the performance of the displacement control mechanism can be judged according to the obtained character parameters. The method avoids the need of obtaining the output flow of the hydraulic pump so as to eliminate the problem caused by using a flow meter or using an obliquity sensor to obtain the character parameters.

The invention provides a cardiopulmonary harmony series index evaluating method, device and system. The method includes the following steps that electrocardio signals, respiratory signals and motion signals of evaluated people are filtered, denoised and pretreated, a RR interval sequence is extracted from the electrocardio signals, and according to the RR interval sequence and the respiratory signals, a binary regression mathematical model is constructed; parameters in the binary regression mathematical model are transformed to a frequency domain to obtain a transformation matrix; the transformation matrix is analyzed to obtain a cardiopulmonary harmony series index; the cardiopulmonary harmony series index includes a cardiopulmonary harmony curve, a cardiopulmonary harmony degree, cardiopulmonary resonance frequency, a cardiopulmonary resonance factor, a cardiopulmonary harmony curve bandwidth and a cardiopulmonary resonance quality factor; and the cardiopulmonary harmony curve is used for representing the effect value of respiration on the modulation of the RR interval sequence at different frequency points in the frequency domain. By proposing the concept of the cardiopulmonaryharmony series index, the embodiment of the invention provides a method to obtain the cardiopulmonary harmony series index, and can provide the reliable digital measurement for the evaluation of a cardiopulmonary metabolism system.

The invention discloses a porosity prediction method based on a depth domain prestack angle gather, which belongs to the field of an oil and gas geophysical prospecting project. The porosity prediction method comprises the following steps: (1) based on logging data, seismic data and depth domain angle domain common imaging point gather data, seismic attributes of the depth domain are extracted; (2) re-sampling porosity data are acquired; (3) based on the seismic attributes and the re-sampling porosity data, a joint sample set is built, and the joint sample set is then subjected to standard deviation standardized processing to acquire standardized seismic attributes and the corresponding standardized porosity data; (4) the joint sample set is randomly divided into a training data set and a testing data set, and an optimal seismic attribute subset is acquired; (5) based on the optimal seismic attribute subset, a prediction model is built; (6) based on the testing data, the prediction model is detected to acquire a detection prediction model; and (7) as for all optimal seismic attribute subsets in a work area, through the detection prediction model, the porosity data in the work area can be predicted.

The invention relates to the technical field of tunnel engineering, and particularly relates to a test device and a test method for testing the waterproof performance of pipe segment joint sealing gaskets. The test device of the invention includes a sleeve with openings at both ends, and sealing covers installed at the two ends of the sleeve. The sleeve includes a plurality of sleeve blocks, and the sleeve blocks are spliced into an overall sleeve structure. Sealing gaskets are installed on the sleeve blocks on the two sides of a joint, and sealing gaskets are also arranged in the positions ofthe sleeve where the sealing covers are installed. The test device can simulate the actual condition that there are various types of joints after pipe segment splicing in actual projects. The experimental data of the waterproof performance of sealing gaskets is consistent with reality. Reliable reference and data support are provided for the construction of actual projects. The construction quality and the waterproof safety are ensured.

The invention discloses a black box detection method and device of a PHP code executing loophole. The method comprises the steps of selecting or coding a piece of PHP code with the function of outputting random strings, and adding codes used for closing a PHP program are added in front of the PHP code to generate loads; then substituting the loads for values of GET parameters and POST parameters in an HTTP request to construct a request data package used for detecting the loophole; sending the configured request data package to a target website, and receiving a responding data package of the target website; judging whether or not the response data package contains the loads in the request data package and the random strings generated by the PHP code, and if yes, judging that the PHP code execution loophole exists in the target website; if not, judging that the PHP code execution loophole does not exist in the target website. The false alarm rate of the loophole detection is effectivelylowered, and a reliable reference basis is provided for secondary verification of the loophole.

The invention discloses a tourism geography data acquisition and management system which comprises a tourism geography information acquisition module, a satellite video acquisition module, a tourism region route acquisition module, a data processing module, a central processing unit, a three-dimensional projection system, a database and a man-machine interaction module. Data transmission can be realized by adopting a short message communication manner through a Beidou module, so that the cost is greatly lowered, and the real-time transmission of data can also be guaranteed; through the self data integration function, the workload of workers can be greatly lightened, and through applying the holographic projection technology, the three-dimensional display of geography information can be realized, so that the workers can observe and feel the geographic situations of tourism regions personally on the scene; and the database has data cleansing and positioning functions, so that the automatic classification and storage of data can be realized, and the workload of the workers can be lightened.

The present invention relates to the field of data storage, and more particularly to an estimation technology in an error correction process of a flash memory. The present invention provides an error estimation module and an error estimation method thereof for a flash memory. The estimation module mainly includes a timer, a quantification index table, a storage page table, and an error index table. The error estimation method of a flash memory includes: creating rewriting and programming error a priori data, and estimating an error rate of the flash memory by using special physical signals in a flash memory device to provide proper error estimation for an error correction algorithm of the flash memory. The present invention is applicable to a solid-state hard disk controller, a flash memory controller, and the like, where the flash memory device is used as a storage medium, so that the reliability of the flash memory device is improved.

The invention discloses a current meter high-speed linear formula integration detection method and a detection device. The method comprises the following steps: cleaning a ball bearing; detecting average frictional resistance moment M of the ball bearing; detecting a propeller current meter rotating speed V0 and an instrument rotation bearing internal frictional resistance moment M, and confirming that a standard is reached; fixedly installing three detected current meters at the lower end of a measuring rod and placing them into water of a detection water tank; adjusting an axial directions of the current meters; tranquilizing a water body in the tank; starting a motor, a detection vehicle running from a lowest speed and gradually increasing its speed, and detecting instrument output signals and data; and according to a GB / T21699 detection method of rotor type current meter in linear open channel, by use of a least square method, calculating values of a and b of a detection formula and a middle and high-speed whole-line average mean square deviation sigma. According to the invention, the program and steps of a conventional detection method in the prior art are substantially simplified, the precision of detection results of the current meters can be ensured, at the same time, the production efficiency is improved, the working conditions are improved, the management rules are simplified, manpower and material resources are reduced, and the production operation cost is decreased.

The invention discloses a method for precisely inverting Young modulus Poisson's ratio and belongs to the field of exploration and physical geography research. The method includes the following steps: conducting normal pre-processing on initial prestack seismic data, stacking at different angles the prestack seismic data which have been pre-processed; standardizing initial log data to make inversion parameters of Young modulus and Poisson's ratio, and conducting lowpass filtering on the result of the computing, constructing an inversion initial model; obtaining the difference between prestack seismic data reflection coefficient which have been subject to pre-processing and the reflection coefficient obtained by computing Young modulus Zeoppritz, constructing a right-side constant term of an inversion equation set; obtaining a first-order taylor expansion of each item of the Young modulus Zeoppritz equation set, based on the inversion initial model, obtaining each taylor expansion, constructing a right-side constant term of the inversion equation set. According to the invention, the method does not approximate the Zoeppritz equation, has stable process, and has reliable numerical values.

The invention discloses a simultaneous wireless information and energy transmission method based on 5G high and low frequency band. Firstly, a wireless information and energy transmission network based on 5G high and low frequency band is designed, a model of resource allocation in high-low mixing network is established, finally, combined with the optimal matching theory and Lagrange dual decomposition, an optimal algorithm for joint power and channel assignment is designed, the coverage area of the network includes hot spot area and wide area coverage area, users located in the wide area coverage area can only receive information from the base station through the low frequency band, users located in the hot spot area can receive information from the base station through the high frequencyband, and at the same time collect energy through the low frequency band, the energy collected by the equipment in the hot spot area comes from the data signal of users in the wide area coverage area. Compared with the traditional single frequency network, the invention not only can improve the throughput of the cell edge user, but also can improve the energy collection efficiency of the cell center user, and has great advantages in energy collection efficiency and user fairness.

A method and apparatus are provided for off-line testing of a multi-phase alternating current machine. The method comprises determining, at a first rotor position, a physical stator quantity of each stator winding by applying a test signal to each stator winding, and determining a first joint physical stator quantity by summing the determined physical stator quantities of the stator windings. There is also provided a method and apparatus for off-line testing of a multi-phase alternating current machine. The method comprises determining, at a second rotor position, a physical stator quantity of each stator winding by applying a test signal to each stator winding, determining a second joint physical stator quantity by summing the determined physical stator quantities of the stator windings, comparing the second joint physical stator quantity with a previously determined first joint physical stator quantity, and determining a fault condition of said multi-phase alternating current machine if the first joint physical stator quantity differs from the second joint physical stator quantity

The invention provides a device for detecting joint swelling parameters of a patient, which includes a housing, a take-up wheel assembly, an angle sensor, an acquisition circuit module and a wireless communication module arranged in the housing, and the disease can be detected through simple operations. The difference in wheel shaft rotation angle corresponding to the affected joint, as a disease parameter representing the joint swelling of the patient, has a reliable reference significance, and is easy to use and operate, and can be used for self-service detection by the patient, so as to realize the remote diagnosis of rheumatoid disease. The technical goal of monitoring and remote condition nursing provides the basis for the technical realization of condition parameter information collection; meanwhile, the present invention also provides a detection method and a detection system using the above-mentioned patient's joint swelling parameter detection device for detection operation, which is convenient for patients to monitor the patient's joint swelling. At the same time, it is convenient for doctors to obtain the patient's condition parameter data information, so as to remotely care for the patient's condition or make diagnosis and treatment judgments.

The invention discloses a system and a method for identifying pancreatic duct and pancreatic structure under an ultrasonic endoscope. The system comprises a client, a server and a database, The clientis used for uploading the ultrasonic endoscope image acquired by the ultrasonic endoscope equipment to the server, and receiving and displaying an analysis result fed back by the server; the server judges the structure of the part corresponding to the image in real time according to the ultrasonic endoscope image collected from the client, and feeds back an analysis result to the client; and thedatabase is used for storing the images acquired by the ultrasonic endoscope equipment and the analysis result fed back by the server. According to the invention, the image quality is identified in real time for the collected ultrasonic endoscope image; the method has the advantages that the structure of the part is identified, the normal simulation image is fed back and displayed in real time onthe client, more reliable reference basis is provided for an operator, the detection accuracy and effectiveness are improved, the method is simple and easy to use, and the condition that wrong diagnosis is conducted on the illness condition due to incomplete image interpretation and even mistakes is avoided.

The invention belongs to the technical field of oil development and provides a method for predicting the water-flooding development oil field output decline rate. An oil-water relative permeability curve is adopted to describe the analytic relation between output decline rate and recovery percent in production. The prediction method has high precision and reliability.

The invention discloses a method for evaluating the economic performance of a power plant. The method includes the first step of collecting scoring data of economic performance indexes, the second step of using the economic performance of the power plant as a matter-element to be evaluated, converting the indexes to characteristics of the matter-element to be evaluated and using a matter-element model to describe the economic performance of the power plant, the third step of establishing a classic domain model of the economic performance matter-element to describe demand intervals of the economic performance indexes with respect to quantity value ranges of various category levels, the fourth step of establishing a section domain model of the economic performance matter-element to describe scoring ranges of the economic performance indexes, the fifth step of calculating the correlation degrees between the economic performance indexes and the various category levels according to a primary correlation function, the sixth step of determining weighting coefficients of the economic performance indexes, and the seventh step of calculating the correlation degrees between the economic performance and the various category levels through a weighting summation mode, and judging the level that the economic performance of the power plant belongs to according to the maximum value of the correlation degrees. Through the method, the economic performance of the power plant can be scientifically evaluated.

A safety device in a closing-opening device of a vehicle which is provided with millimeter wave sensors as a detection device enables detecting an obstacle accurately for preventing a caught-in accident in advance caused by the closing-opening device.

The invention discloses a breast tumor ultrasonic image classification method based on a three-dimensional convolutional neural network, and relates to the technical field of computer image processing. The method comprises the specific steps that data preprocessing is carried out, a training set is used for training a proposed three-dimensional convolutional neural network, benign tumors are marked as 0, and malignant tumors are marked as 1; testing the trained model by using a test set, and finally outputting the probability of benign and malignant tumors through a softmax function, extracting regions of interest, and performing tumor probability estimation on each region of interest by using a three-dimensional convolutional neural network; diversity, namely complexity, of breast cancerimages causes certain difficulties to diagnosis of doctors, the misdiagnosis rate of tumors can be effectively reduced through automatic classification of breast tumor ultrasonic images based on deeplearning, and meanwhile reliable reference bases can be provided for diagnosis of the doctors.