107results about How to "Has reference value" patented technology

The present invention provides an adjuvant disease diagnosis method based on patient test results. The method comprises: cleaning original data, and constructing sample data according to the test category; using the current xgboost framework with high speed and high accuracy to improve the algorithm and reduce the error rate, designing the model loss function and optimizing the number of iterations of the model, and training the multiple diagnostic models according to the type of the sample; and outputting some diseases with relatively large probability that patients could be suffered from. The present invention provides the disease diagnosis method with high reliability for assisting doctors to improve the diagnosis rate of the disease and reduce the misdiagnosis rate.

The invention relates to a legal document named entity identification method, in particular to a theft case legal document named entity identification method based on adversarial transfer learning, which comprises the following steps: (1) constructing a legal named entity data set, (2) constructing an adversarial transfer learning neural network model, (3) testing the model, and (4) discussing a result. The method is practicable and clear in structure, has a reference value, can improve the accuracy of legal named entity recognition, can be applied to legal knowledge graph construction, multi-person multi-section case factual decomposition, evidence association analysis, judicial knowledge graph construction and the like based on legal named entity recognition.

The invention discloses a method and device for detecting the diffusion and evaporation of a liquid in a shell fabric, belonging to the technical field of detection of shell fabric performance. Probes are regularly inserted into certain fixed points on the shell fabric, and are connected together through a detection circuit; the resistance values between adjacent probes is measured by using the detection circuit; and the water diffusion and evaporation situations of the liquid on the shell fabric can be indirectly obtained according to the resistance values. The method and the device have the advantages of easiness for operating, accurate detection result, and the like.

The invention discloses a GIS (Geographic Information System) data acquisition method applied to an unmanned vehicle, which is suitable for dynamic update of GIS of the unmanned vehicle. The method comprises the following steps: obtaining point cloud data through a vehicle-mounted 3D (3-Dimensional) laser radar, and providing auxiliary information for the driving of the unmanned vehicle; and simultaneously setting corresponding parameters to extract geospatial data combined with the detection data of vehicle-mounted inertial navigation system and vehicle-mounted GPS (Global Positioning System), wherein the extraction of the geospatial data can be carried out in real time, so that the updating efficiency of geospatial data is greatly improved, and simultaneously the obtained geospatial data can provide helps for the autonomous running of the unmanned vehicle combined with powerful geospatial data processing function of GIS.

The invention discloses a big data technology based investment method of a financial investment system and relates to the technical field of a financial product. The system comprises a user information obtaining module, a database module, a statistical module, a friend making module, a trading module and a report generation module. According to the invention, the database module is enriched by applying a bid data technology to a database, more comprehensive and effective data service is provided for users, at the same time, data is organically ordered by use of its own statistical module, and a more accurate and valuable reference can be provided for the user for decision-marking.

The invention provides an alarm level generation method and apparatus, and a network management device. The method comprises the following steps: obtaining plurality of attribute parameters of a to-be-analyzed alarm event; assigning each attribute parameter according to a pre-stored corresponding relation between the attribute parameters and the assignment; calculating a total sum of the assignment of each attribute parameter; and generating an alarm level corresponding to the total sum for the alarm event. According to the alarm level generation method and apparatus, the attribute parametersaffecting the alarm level are expressed in the assignment form, the alarm level is generated according to the total sum of the assignment of the attribute parameters corresponding to the alarm event,so that the operation is simplified, the alarm level of the alarm event can be objectively obtained, the alarm level has more reference value, and the practicality of the alarm level is enhanced.

The invention relates to a word trademark registration possibility judgment method based on big data. The method is applied to a server and comprises the steps that S101, to-be-registered word trademark information sent by a user terminal is received; S102, according to the received word trademark information, a classification group of commodities or services which a to-be-registered trademark belongs to is determined; S103, previous word trademarks and relevant information thereof existing in the classification group are searched for in a database; and S104, whether the to-be-registered trademark is identical or similar to the previous word trademarks is judged, a corresponding registration suggestion is given according to the judgment result, and a report is generated and output to the user terminal. According to the method, a big data algorithm is adopted to perform retrieval analysis on the to-be-registered trademark, missing inspection is not prone to occurrence, the analysis result is objective, the success rate of enterprise trademark registration can be greatly increased, the cost of enterprise trademark registration is saved, and the method has high reference value.

The invention relates to a word trademark registrability judging method based on big data, which is applied to a user terminal. The method comprises the steps of: receiving word trademark informationto be registered input by a user; sending the word trademark information to a server, so that the server determines a classification group of commodities or services to which a trademark to be registered belongs according to the word trademark information; searching for prior word trademarks and related information thereof existing in the classification group in a database; judging whether the trademark to be registered is identical with or similar to the prior word trademarks; and receiving a registration suggestion report given by the server, wherein the registration suggestion report is given based on an identical or similar judgment result of the trademarks. The word trademark registrability judging method adopts a big data algorithm for searching and analyzing the trademark to be registered, is not prone to miss searching, has objective analysis result, can significantly improve the success rate of registering the trademark of an enterprise, saves the cost of trademark registration for the enterprise, and has high reference value.

The invention is applicable to the technical field of orthodontic force measurement and discloses a novel orthodontic force measuring method and a novel orthodontic force measuring device. The novel orthodontic force measuring method comprises the following steps: preparing a to-be-measured dental model, fixing the to-be-measured dental model on a supporting table, and driving a multi-dimensional force sensor by virtue of a driving part, so that the multi-dimensional force sensor is connected with the dental model, wherein the to-be-measured dental model consists of teeth, parodontium and alveolar bones. The measuring device comprises a supporting base, a multi-dimensional force sensor and a supporting table used for fixing the to-be-measured dental model, wherein the multi-dimensional force sensor is connected with a driving part. According to the novel orthodontic force measuring method and the novel orthodontic force measuring device provided by the invention, the orthodontic force and torque transferred by the parodontium between the teeth and the alveolar bones are measured, the orthodontic force and torque are measured by utilizing a six-dimensional force sensor, the influence of parodontium deformation on the actual orthodontic force is considered, the force and torque in the orthodontic process can be simply, rapidly and accurately obtained, the reliability of the measurement result is improved, and the result has high reference value.

The invention belongs to the technical field of chaotic systems. The invention discloses a chaotic time sequence prediction method based on attention mechanism deep learning. The method comprises thefollowing steps: (1) constructing a chaotic time sequence data set; (2) carrying out phase space reconstruction on a chaotic time sequence; (3) training chaotic time sequence data by using an LSTM neural network model; (4) constructing a prediction-based attention mechanism model, (5) constructing an offline training model, and (6) carrying out online prediction. The chaotic time sequence prediction method based on attention mechanism deep learning is clear in model structure, has a reference value, and can be applied to the aspects of financial market prediction or energy prediction and the like of a chaotic system.

The invention provides a message forwarding method and device. The method comprises the steps that a software acceleration item for modifying attribute information of a first message recorded in the forwarding process of the first message is acquired; the first number of second messages which meet the software acceleration item and require to be forwarded is acquired in the first preset period of time after forwarding the first message; a hardware acceleration item is configured for the second messages required to be forwarded according to the first number; and the subsequent second messages required to be forwarded are forwarded according to the hardware acceleration item. According to the method and the device, cooperation of the software and the hardware can be realized, the hardware acceleration item is configured by learning the messages and modification and forwarding of the messages can be directly completed by using a message processor so that the gateway performance can be greatly enhanced, the performance requirement of the gateway product can be met, the hardware cost can also be reduced and the method and the device have economic value and reference value.

The invention relates to a virtual wardrobe system based on a mobile terminal. The virtual wardrobe system comprises a client side and a server side. The client side comprises a user information acquisition module, a garment information acquisition module and a user feedback module. The server side comprises a human body modeling module, a fitting processing module and a garment management analysis module. The information acquisition module and the garment information acquisition module respectively acquire user information and garment information and transmit the user information and the garment information to the server side. The human body modeling module establishes a human body model according to the user information. The fitting processing module forms a two-dimensional garment template and sutures the two-dimensional garment template on the human body model. Finally a fitting effect file is generated and transmitted to the user feedback module. The garment management analysis module performs analysis management on the garment according to the user information and the garment information and transmits an analysis report to the user feedback module. Compared with systems in the prior art, the virtual wardrobe system based on the mobile terminal has advantages of being real and credible in the fitting effect and convenient in garment matching management.

The invention discloses a water temperature monitoring method and a blockage handling method for a generator stator of a 1000 megawatt nuclear power plant. The water temperature monitoring method for the generator stator of the 1000 megawatt nuclear power plant comprises the following steps of: determining the outlet water temperature of the stator under different working conditions, converting the determined outlet water temperature of the stator under different working conditions into the outlet water temperature of the stator under a benchmark working condition to obtain converted outlet water temperature, judging whether the outlet water temperature of the stator is abnormal or not according to the converted outlet water temperature, adjusting the outlet water temperature of the stator according to judgment results and handling the blockage of the stator. By monitoring the water temperature of the stator during the operation of the generator of the 1000 megawatt nuclear power plant, the abnormalities of the water temperature of the stator can be found in time, the parameters such as hydrogen pressure, bypass purification flow and the like of the generator can be effectively adjusted or the blockage of the generator stator can be handled, the generating efficiency of the generator can be ensured and the problems of too high generator temperature, forced shutdown or stator winding burnout can be avoided.

The invention relates to the technical field of artificial intelligence, and discloses a dialogue method and device, electronic equipment and a readable storage medium. The dialogue method comprises the steps: obtaining a target question input by a user; based on a trained reinforcement learning model, determining a feedback action corresponding to the target question, wherein the reinforcement learning model is obtained by training based on at least two rounds of sample conversations and a reward function determined by at least two rounds of sample conversations, and each round of sample dialogue comprises a sample question sentence and a corresponding sample answer sentence; determining a target answer sentence corresponding to the feedback action, and outputting the target answer sentence. According to the dialogue method provided by the invention, the prediction accuracy of the finally trained reinforcement learning model is higher.

The invention relates to the field of the quality evaluation of steady state electric energy and provides a comprehensive evaluation method for the quality of the steady state electric energy so as to perform the relatively intuitive and comprehensive evaluation on the electric energy quality of a point of common coupling (PCC) of a grid-connected photovoltaic system. The method specifically comprises the following steps: (1) integrating subjective and objective weights by adopting a combination weighting method, namely a maximum deviation method, and obtaining an integrated weight vector; (2) by adopting a main-element projection method, transforming each evaluated data group from a multidimensional manner to a one-dimensional manner by utilizing an ideal decision vector designed by each main element; and (3) performing grade interval partition, namely dividing value limiting provisions in national standard into multiple grades according to a certain standard, and determining the electric energy quality condition of data of measuring points by determining grade intervals in which data to be evaluated are positioned. The method is mainly applied to evaluating the quality of the steady state electric energy.

The invention discloses a project recommendation method and a project recommendation device, which belong to the technical field of computers. The method comprises steps: credit values of multiple user accounts related to a candidate recommendation project are acquired, the credit value of each user account is used for reflecting the credit degree of the user account, a recommendation index of the candidate recommendation project is acquired, and the recommendation index is used for indicating the recommended degree of the candidate recommendation project; the recommendation index of the candidate recommendation project is adjusted according to the credit values of multiple user accounts; and the recommendation index after adjustment is used for recommending the candidate recommendation project. The problem that certain project publisher in a related technology adopts certain cheating behaviors for improving the recommendation index of the project and thus, the recommendation index has no reference value can be solved, and effects of improving the recommendation index reference value are achieved.

The invention relates to an artificial intelligence based figurative mark registration possibility judgment method. The method is applied to a user terminal and includes: S101, receiving to-be-registered figurative mark information inputted by a user; S103, sending the to-be-registered figurative mark information to a server to allow the server to determine a commodity or service classification group of a to-be-registered figurative mark according to the figurative mark information; searching prior figurative marks and relevant information in the classification group in a database; judging whether the to-be-registered figurative mark is identical or similar to the prior figurative marks or not one by one on the basis of image coincidence; giving registration suggestion to generate a report; S105, receiving and displaying the registration suggestion report sent by the server. By adoption of a big data algorithm for retrieval analysis of the to-be-registered figurative mark, omission in retrieval is hardly caused while analysis results are objective, the trademark registration success rate of enterprises can be greatly increased, trademark registration cost of the enterprises is saved, and a high reference value is achieved.

The invention discloses a device and a method for detecting mixed gas decomposition products of perfluoro-isobutyronitrile and carbon dioxide. The device comprises a gas decomposition module and a gasdetection module, wherein the gas decomposition module comprises an alternating current power source, a voltage regulator, a transformer, a resistor, a capacitor, a rectifier diode, a barometer, a closed cavity, a needle plate electrode, a gas valve and a micro-water generating device. The gas detection module mainly includes a gas bottle, a pressure reducing valve, a gas purifier, a GC-MC gas chromatography mass spectrometer, a gas collecting bag, an exhaust gas recovery device and a computer. During the stage of a discharge test, the closed cavity is filled with a small amount of water andoxygen and a proportion of mixed gas of the perfluoro-isobutyronitrile and carbon dioxide, the needle plate electrode of the cavity is subjected to pressure boosting by a high-voltage power source, after the corona discharge occurs, pressure boosting is stopped, and the voltage for 12 hours is maintained; and in the stage of gas detection, the gas collecting bag collects gas to be tested and the gas chromatography mass spectrometer is turned on, the gas in the gas collecting bag is injected into an instrument for detection, and the gas to be tested is subjected to the qualitative and quantitative treatment.

The invention relates to an artificial intelligence-based figurative trademark registrability judgment apparatus. The apparatus comprises a receiving module used for receiving to-be-registered figurative trademark information, a confirmation module used for determining a classification group of a commodity or a service where a to-be-registered figurative trademark is located according to the figurative trademark information, a storage module used for storing all trademark information and review information disclosed precedently, a search module used for searching for precedent figurative trademarks and related information existent in the classification group of a database, a judgment module used for judging whether the to-be-registered trademark is as same as or similar to the precedent figurative trademarks or not one by one based on image coincidence judgment, and an output module used for generating a report and outputting the report to a user terminal. According to the apparatus, the to-be-registered trademark is subjected to retrieval analysis by adopting an artificial intelligence algorithm, so that missing detection is unlikely to happen, an analysis result is relatively objective, the success rate of enterprise trademark registration can be greatly increased, and the cost of enterprise trademark registration is reduced; and the apparatus has a relatively high referencevalue.

The invention provides a laser marking instrument with the automatic correcting function. The laser marking instrument comprises a laser marking instrument main body, a correcting unit and a laser emitting unit, wherein the correcting unit and the laser emitting unit are both mounted on the laser marking instrument main body; the correcting unit is used for correcting the laser emitting unit. The laser marking instrument disclosed by the invention has the automatic correcting function, so that the data obtained in actual surveying and mapping are higher in reference value and practicability, and the measurement precision of the laser marking instrument can be correspondingly improved; furthermore, the laser marking instrument is simple in structure and convenient to operate; the correcting unit can be replaced at any time, so that the practicability of the laser marking instrument can be improved.

The invention belongs to the technical field of virtual simulation, and particularly relates to a simulation test system and method for ship wave resistance increasing performance analysis. The systemcomprises a model creation unit used for creating a numerical wave pool model and establishing a ship model based on main scale parameters of a target ship; a grid division unit which is used for determining a calculation area and generating discrete grids; a wave making unit which is used for generating regular waves for the ship wave resistance increasing test according to preset wave load parameters; and a resistance increasing test unit which is used for calculating motion response and wave resistance increasing when the target ship sails at a preset navigation speed under the regular waves through CFD, and carrying out wave resistance increasing prediction on the target ship at different wavelengths and different navigation speeds. According to the system, the test cost is reduced, the test period is shortened, and the efficiency of research and development work is improved; compared with theoretical calculation, the system can consider the influence of fluid viscosity, the experimental result is high in reliability, and the reference value is higher.

The invention discloses a finite element refinement simulation method for pipe jacking construction of a pipe gallery structure, which adopts a finite element method to simulate the pipe jacking construction process of the pipe gallery structure and comprises the following steps: determining relevant parameters of a grouting equivalent layer; determining a load and construction parameters of pipe jacking construction of the pipe gallery structure; determining a constitutive model and a constitutive unit adopted by each part when the pipe gallery structure is subjected to pushing simulation; determining the setting of a load step; and establishing a three-dimensional finite element model, and performing finite element analysis and calculation. According to the method, the influences of factors such as tunneling pressure, jack force and grouting are comprehensively considered, so that the finite element simulation process is close to the actual pipe gallery pipe jacking construction process to the maximum extent, and a simulation result with engineering guiding significance is obtained.

The invention discloses a flexible circuit board testing device which comprises a die part, a material accessing part for sending a flexible circuit board to the die part or taking the flexible circuit board away from the die part, a temperature control part which is arranged next to the die part and comprises a temperature controller and a hot air assembly, and a testing part which is electrically connected with the flexible circuit board. The temperature control part heats the die part to simulate the heating state of the flexible circuit board in actual use, thereby obtaining the test result under high temperature conditions. The result has higher reference value. The temperature controller can control heating temperature, and enhance temperature stability and test reliability. The material accessing part moves the flexible circuit board, thereby accelerating test efficiency and preventing fault due to manual operation.

The invention provides a highland barley maca biscuit and a preparation method thereof. The highland barley maca biscuit is prepared by taking the following raw materials in parts by weight: 10-20 parts of maca powder, 80-90 parts of highland barley powder, 35-40 parts of shortening, 20-25 parts of sweetening agent, 15-20 parts of eggs, 0.6-1.0 part of sodium bicarbonate and 20-25 parts of water. The preparation method comprises the following steps: forming a premixed solution after heating and dissolving the sweetening agent and the shortening, cooling and standing by; mixing and uniformly stirring the maca powder and the highland barley powder, adding the sodium bicarbonate, the premixed solution and the eggs in turn, kneading and forming a dough; standing by the dough for 1-2min, performing the steps of pressing mould shaping and baking, and then cooling, thereby acquiring the highland barley maca biscuit. The highland barley maca biscuit according to the embodiment of the invention has the advantages of organic combination of the highland barley in Tibetan area and maca, unique, sweet, smooth and fine taste, pure natural, complete nutritional ingredients rich in various amino acids and trace elements, and more benefit in absorption of human body.

The invention relates to the technical field of stress calculation, and provides an RV reducer main bearing stress analysis and calculation method for a robot, and the method comprises the steps that:1, the internal stress analysis of an RV reducer is carried out; 101, the contact acting force of a cycloidal gear and a pin wheel is obtained; 102, the contact acting force of the cycloidal gear anda crankshaft is obtained; 103, the contact acting force of the crankshaft and a flange plate is obtained; 2, external stress analysis is conducted on the RV speed reducer; and 3, a main bearing of the RV speed reducer is optimally designed. The reasonability and the analysis efficiency of the stress analysis amount of the main bearing can be improved.

The invention discloses a testing device and method for operation resistance of a rail train. The testing device includes a first hook, a force measurement part and a second hook. The first hook can be connected with a traction train. The second hook can be connected to a to-be-detected train. The force measurement part includes a force measurement cylinder and a plurality of strain sensors arranged on the peripheral wall of the force measurement cylinder. Two ends of the force measurement cylinder are connected with the first hook and the second hook respectively. The testing device also includes a data processing part in signal connection with the strain sensors and capable of receiving strain values measured by the strain sensors so as to calculate the operation resistance. According tothe invention, the force measurement part adopts a combined structure composed of the force measurement cylinder and the strain sensors, the wall thickness of the force measurement cylinder is comparatively small and thus the strain sensibility is improved, so that low speed operation resistance of the rail train can be acquired more accurately.

The embodiment of the invention provides a task scheduling method and device. The method is applied to a dispatching center of a distributed system. The method comprises the steps of obtaining a workload parameter of each to-be-scanned task and a current node parameter of a preset scanning node of the distributed system; when the task number of the to-be-scanned task is smaller than or equal to the node number of the scanning nodes in the idle state, scheduling the scanning nodes for the to-be-scanned task according to the current execution rate and the workload parameters; and when the task number of the to-be-scanned tasks is greater than the node number of the scanning nodes in the idle state, scheduling the scanning nodes for the to-be-scanned tasks according to the current execution rate, the predicted completion time and the workload parameters. According to the embodiment of the invention, the problem that the performance of the whole distributed system is easily reduced due toa scheduling allocation mechanism of the distributed scanning task in the prior art is solved.

The invention discloses a method of processing thunderstorm core correlations and the specific steps are as follows. Step A: The lightning detection points are arranged and the lightning data are recorded. The ground flash data are pre-processed and the noise data are filtered out. The effective lightning data are stored in local sever and transmitted to central sever. Step B: The central server receives the data from all detection points, employs the GPS clock synchronization technology to identify the time difference among the radiation pulses that transmit from the lightning electric fieldto all detection points, and uses the arrival time difference algorithm to calculate the spatial positioning coordinate of the lightning source. Step C: Based on the thunderstorm core positioning datacalculated in step B, the DBSCAN algorithm and the KMEANS algorithm are employed to obtain the correlations among the thunderstorm core centroid coordinate position, the lightning frequency and the thunderstorm core. The invention combines the advantages and characteristics of both DBSCAN and KMEANS algorithm, and the mixed clustering algorithm can identify the thunderstorm core in improved satisfaction and accuracy.

The invention discloses an engineering project risk assessment system based on big data, which is used for an engineering project investment platform and comprises a project analysis module, a server,a monitoring module, a risk assessment module and an investigation module, the project analysis module is used for receiving and analyzing the basic information of the engineering project to obtain aconstruction value of the engineering project; the monitoring module is used for monitoring transaction information of the engineering project investment platform within preset time and analyzing thetransaction information; the risk assessment module is used for performing risk assessment on the engineering project, obtaining an assessment coefficient of the engineering project in combination with the construction value, the domain attraction value, the project attraction value, the scale value, the engineering spacing and the reputation value, and assessing the engineering project from multiple dimensions, so that an assessment result has a certain reference value; and the server arranges the corresponding engineering projects according to the sequence of the evaluation coefficients from high to low, so that the user can conveniently select the proper engineering projects for investment.

The invention provides a curve plotting method for adaptability of fish to hydrodynamic force parameters. The curve plotting method for the adaptability of the fish to the hydrodynamic force parameters includes: building a vertical seam type fishway model with three types of lead angles, and using the lead angles for manufacturing different feature flow fields; performing fish release tests and recording videos; obtaining features of the different feature flow fields; portioning a test area in the vertical seam type fishway model into different flow field areas; calculating a quantity ratio ofthe test fish in the different flow field areas; and plotting a curve of the adaptability of the fish to the hydrodynamic force parameters according to the quantity ratio of the test fish in the different flow field areas. The curve plotting method for the adaptability of the fish to the hydrodynamic force parameters can confirm the range of each favorite key hydraulic power factor in successfulupstream swimming of target fish species, is used for guiding and optimizing hydrodynamic design of a vertical seam type fishway, improves fish passing efficiency, really develops function of an ecological rehabilitation project of the vertical seam type fishway, and has certain scientific significance and reference value, and furthermore can be popularized and used in fishway hydraulics study taking various fish species as fish passing objects.