221results about How to "High reference value" patented technology

The invention is applicable to the field of information processing and provides a device and a method for recommending personalized information and an information processing system. The method includes: acquiring interaction records of SNS (social network site) users and article usage records of the SNS users; calculating similarity among the SNS users according to the interaction records, and dividing the SNS users into similarity groups according to the similarity; calculating grades, given by the SNS users, of articles according to the article usage records; predicting grades, given by target users, of the articles according to grades, given by other users in the similarity groups, of the articles; and recommending top N highly-graded articles to the target users. Accuracy and credibility of recommending results are improved effectively, and the recommended personalized information has greater reference value for users.

The invention relates to an automobile driving simulation system based on a VR simulation technique and a method. Compared with the prior art, in the driving simulation process, not only are driving operations of a driver fed back, but also corresponding automobile body actions during driving are generated in real time, and meanwhile the driver state in the driving simulation process is dynamically monitored to serve as a reference of a driving behavior analysis result; in addition, a driving simulation scene is displayed by adopting the VR simulation technique replacing a plane simulation technique, virtual scenes and road conditions in the corresponding angles are generated in real time according to the sight line of the driver, therefore, the driver has the truer feel, the operation intentions of the driver and the true reflection of the driver under the different road conditions can be reflected more truly, the data collecting accuracy in the driving simulation process is improved to a large extent, and the very high reference value on detecting and researching the driving behaviors of the driver is achieved.

The invention discloses an outlier detection-based real-time anti-power-theft monitoring method for a power utilization information acquisition system. The method comprises the steps of calculating line loss of each zone area according to acquired power data of each zone area, and preliminarily judging whether a zone area in an abnormal power utilization state exists or not; if the line loss of certain zone areas is abnormal, collecting power utilization data of the corresponding zone areas, wherein the power utilization data includes user real-time power utilization data and abnormal event data; selecting reasonable evaluation indexes and building a comprehensive power theft suspicion analysis model in combination with methods of outlier detection, data statistics and the like; and taking data collected by a main station as an input of the model, processing user data through the analysis model and obtaining a user power theft suspicion coefficient, thereby locating a suspected power theft user. According to the method, the deficiency of only manual analysis of massive data is overcome, and the efficiency of an algorithm and the reference value of a detection result are improved.

The invention discloses a wearable device based on neural network adaptive health monitoring. The wearable device comprises an exercise state solving module, an exercise link judgment module, a dimension reduction solving module, a physiological parameter setting module and a physiological parameter collection module; the exercise state solving module collects acceleration data output by an acceleration sensor, high-frequency noise is filtered through wavelet transformation, and the exercise state of a user is divided; the exercise link judgment module subdivides the exercise state in combination with an angular velocity to obtain an exercise subdivision link; and according to the dimension reduction solving module, an optimized SVM is used to perform further fine division on partial pathological features hierarchically in combination with data at different levels. According to the wearable device, different feature dimension reduction samples are integrated in an analysis link, the amount of exercise is greatly reduced, correctness is guaranteed by emphatically calculating a verification link, the medical reference value of obtained user physiological parameters is increased, and power consumption standby capability is improved under the same condition.

The invention is applicable to the information processing field, and provides network map comment information displaying method and device, and an information processing system. The method comprises the following steps: receiving a looking-up request of an SNS (Social Networking Services) user on comment information on a certain geographical position on a network map; searching the geographical position comment information published by a friend of the SNS user; pushing the geographical position comment information published by the friend of the SNS user and the information of the information publishing friend to an SNS client side for gathering to be displayed to the SNS user. The method and the device can be used for effectively enriching the display on the comment information of the geographical positions on the network map, and improving the credibility of the comment information, thus enabling the comment information provided from the network map to have larger reference values.

The invention relates to a shearing control method and a shearing control device for circle shears. The method comprises the following steps: when the head of a steel strip reaches the front parts of entrance pinch rolls, a command sender takes the entrance pinch rolls as a speed command body to send a shearing and biting speed command; when the head of the steel strip reaches a main cutting edge, the command sender takes the main cutting edge as the speed command body, maintains the shearing and biting speed, and controls the entrance pitch rolls to follow and be synchronous with the linear speed of the main cutting edge; and when the head of the steel strip reaches exit pitch rolls, the command sender takes the main cutting edge as the speed command body to send an acceleration command, controls the main cutting edge to speed up to achieve the shearing speed required in a high-speed shearing command within 0.5 to 2 seconds, and controls the exit pinch rolls to follow and be synchronous with the linear speed of the main cutting edge. The control method and the control device effectively reduce instantaneous impact loads withstood by all mechanical parts at the time of biting, prolong the service life of shearing equipment, reduce maintenance cost, reduce the failure rate of a clamping chute at a cutting edge, and improve equipment stability and utilization rate.

The invention solves the problem of planning flights in the airplane dispatching problem by applying a heredity algorithm. Through unknown variables or integer coding of the number of flights for each airplane type on the airline, the invention realizes expression of the solution target in the heredity algorithm. The chromosome practicability is patched by adopting an effective patching strategy based on a punishment style so as to reduce the appearance of an illegal solution, so that a solution result conforms to the practical situation. The algorithm in the invention is verified to be correct and effective through illustrations, and the invention has the advantages of strong extendibility and practicability.

The invention discloses a wireless sensor network node localization method based on K-medoids clustering. The method firstly uses a trilateration localization algorithm to obtain a plurality of localization results, and takes the primary localization results as initial samples for clustering analysis. Then a K-medoids clustering algorithm is used to perform clustering analysis on the primary localization results. The division of the best cluster can be obtained through iteration. Through analysis of the cluster member number, beacon nodes with the large error are found and removed. Finally the localization calculation is performed on the preferable beacon nodes by using a multilateral localization method which is modified by reference values. The localization method of the invention effectively reduces node localization error, and improves the localization precision of wireless sensor network nodes.

The invention discloses a method for predicting the complete residual life of an aero-engine under variable working conditions based on working condition identification and similarity matching. According to the method, the problem that the complete residual life is difficult to predict due to degradation trend of the real performance, covered by complex working condition variation, of the aero-engine is focused to be solved. The method comprises the following steps: identifying operation conditions of the aero-engine; carrying out data standardization on historical degradation data under different working conditions; carrying out sensor selection and parameter dimensionality reduction on the standardized data; matching degeneration tracks of each reference engine and a to-be-predicted engine by virtue of a similarity matching method, so as to obtain an estimated value of the residual life of the to-be-predicted engine and the similarity distance between the reference engine and the to-be-predicted engine; and generating a weight according to the similarity distance, and weighing life estimated values, so as to obtain the residual life of the to-be-predicted engine. By verification, the method has relative high prediction accuracies for different engine test samples.

The invention discloses a device for measuring the thrust force of a propeller and magnetic transmission torque. The device comprises measuring tools and a test mechanism, wherein the measuring tools include a water groove, a flexible rope, a weight, a pendant and a dynamometer having a data recording function; the test mechanism comprises a sliding guide rail; a slide block A and a slide block B are arranged on the sliding guide rail; the slide block A is connected with the slide block B through a screw rod; a direct current motor is fixed on the slide block A; a bearing base is fixed on the slide block B; a thrust force measuring revolving shaft and a torque measuring revolving shaft are supported on the bearing base; the thrust force measuring revolving shaft and the torque measuring revolving shaft are arranged coaxially opposite to each other; a rolling bearing is arranged on the middle part of torque measuring revolving shaft. The device can be used for measuring the forward thrust force of the propeller under a laboratory condition, and can be used for measuring the magnetic torque of magnetic transmission and the oscillation curve of the magnetic transmission torque. The device has a very high reference value in the design of the propeller.

The embodiment of the invention provides a step-counting data processing method and a step counter. The method comprises the following steps: obtaining satellite positioning movement distance in a preselected time period when movement steps in the preselected time period meet a preset condition, determining a first step amplitude according to the movement steps and the satellite positioning movement distance in the preselected time period, calculating parameters according to the movement steps and step amplitude in the preselected time period to obtain a second step amplitude, determining an optimized step amplitude according to the first step amplitude and the second step amplitude, and determining a current calculated step amplitude according to the first step amplitude, the second step amplitude and the optimized step amplitude. According to the technical scheme, the current calculated step amplitude obtained by the step counter is accurate; the movement distance accuracy of wearers is improved; the reference value of the movement distance for users is improved.

The invention relates to an optical engine which comprises a cylinder cover, an original cylinder casing and a piston; a transparent quartz glass cylinder casing is arranged between the cylinder cover and the original cylinder casing; the piston is an extended piston; the top of the extended piston is provided with a round window; transparent quartz glass is arranged in the round window; the length of the transparent quartz glass cylinder casing is more than the sum of the stroke of the engine and the distance between a ring at the bottommost of the piston and the top surface of the piston; and an engine cylinder body, the original cylinder casing, the cylinder cover and the transparent quartz glass cylinder casing are fixedly connected by bolts.

The invention discloses rock soil rheological test equipment, which comprises a pressure chamber, a test bench, an axial environment system, a radial environment system, an energy supply system, a detection system and a control and analysis system, wherein the pressure chamber comprises an axial pressure chamber and an annular pressure chamber; the axial pressure chamber comprises an upper pressure chamber, a test piece chamber and a lower pressure chamber, which are sequentially laminated; a rock soil test piece is arranged in the test piece chamber; oil liquid under adjustable pressure is injected into the annular pressure chamber, the upper pressure chamber and the lower pressure chamber; the annular pressure chamber surrounds the radial direction of the axial pressure chamber; and the axial pressure chamber is formed by an internal space of an elastic sheath. The rock soil rheological test equipment has the advantages that the annular pressure chamber and the axial pressure chamber in the pressure chamber are isolated from each other by using the elastic sheath, and the axial pressure and radial pressure of the rock soil test piece in the pressure chamber are absolutely isolated, so the axial pressure and radial pressure of the rock soil test piece in the test piece chamber are independent of each other.

The invention relates to the technical field of set top boxes and discloses an intelligent set top box program recommendation method based on the cloud platform. The method specifically includes the following steps that firstly, set top boxes upload viewing data of users to the cloud platform; secondly, all the viewing data of the users are received and then stored by the cloud platform after being analyzed; thirdly, when a certain user does not have a definite viewing purpose, the corresponding set top box reports to the cloud platform and requests for program recommendation data; fourthly, after receiving a program recommendation request, the cloud platform transmits real-time viewing data in the current time period, historical viewing data in the next time period and viewing habit data of the user back to the set top box; fifthly, after receiving the viewing data or the viewing habit data, the set top box analyzes and processes the data to acquire program recommendation content and then displays the program recommendation content to the user. Programs are recommended through analysis on the viewing data according to viewing habits of the users, and therefore convenience in use is brought to the users.

The invention discloses an advertising board viewer flow analysis system, which comprises a camera, a data acquisition unit, a real-time analysis unit and a later statistical analysis unit, wherein the camera is arranged on an advertisement putting site, so that the camera can accurately shoot the advertisement viewing crowd; the data acquisition unit is used for acquiring pictures shot by the camera, analyzing the acquired pictures by using an algorithm of analyzing the number of people, and acquiring the number of viewers on advertisement putting points in real time; the real-time analysis unit is used for uploading data of the number of the viewers on the advertisement putting points, which is acquired in real time, to a cloud server, presenting the real-time data of various advertisement putting points in real time after analysis and calculation, and carrying out statistical analysis on the real-time advertisement putting effects of some designated areas; and the later statisticalanalysis unit is used for comparing and analyzing off-line data in a local database, and obtaining advertisement putting strategy planning according to customer requirements. According to the scheme,the total number of viewers of the advertisement in each playing period during the putting period can be automatically calculated through a principle, the advertisement putting strategy planning is realized, the operation is simple and convenient, the number of statistics is accurate and reliable, and the later use value is high.

The invention discloses a three-dimensional model generation method and system, and the method comprises the steps: obtaining the two-dimensional position data of two-dimensional elements corresponding to a target real scene element and the topographic data of the target real scene element; generating the three-dimensional position data of a needed target there-dimensional model corresponding to the target real scene element according to the two-dimensional position data and the topographic data; carrying out the triangularization of the two-dimensional elements corresponding to the target real scene element; finally generating a target three-dimensional model corresponding to the target real scene element based on the three-dimensional position data and the triangularization result. Therefore, the method can achieve the automatic generation of the three-dimensional model according to the actual two-dimensional position data and the topographic data, is higher in data manufacturing efficiency, and is smaller in model data size. Moreover, because the method takes the actual two-dimensional position data and the topographic data as the data source of the three-dimensional model, the generated three-dimensional model has a higher position matching degree with the real scene element, thereby improving the reference value of a three-dimensional electronic map.

The invention discloses an urban inland inundation modeling prediction method which comprises the following steps: acquiring probability of urban inland inundation by using a modeling method; according to the situation that urban inland inundation is caused as an urban water drainage amount is smaller than an urban precipitation amount because of natural situations, respectively calculating the urban water drainage amount and the urban precipitation amount in a symbolic-graphic combination mode; converting the urban water drainage amount and the urban precipitation amount into an urban water drainage effect diagram and an urban precipitation effect diagram by using software, and overlapping the diagrams, so as to obtain an urban ponding effect diagram. By adopting the processing mode, massive tedious data processing is reduced, urban landforms in practical situations can be taken into account, and the latest urban water drainage situations can be acquired, so that great reference values can be made, and urban inland inundation can be predicted by analyzing the urban ponding effect diagram.

The embodiment of the invention provides a medical knowledge graph construction method and device based on electronic medical records. The method comprises the steps of extracting symptom entities from the electronic medical records with body parts as anchor points; constructing a binary entity pair of symptoms and symptom details for the symptom entity; determining a corresponding relationship type for the binary entity pair; and constructing a medical knowledge graph by taking two entities in the binary entity pair as nodes and taking the relationship type of the binary entity pair as an edge. According to the embodiment of the invention, the symptom entity is extracted by taking the body part as the anchor point in the electronic medical record, so that a relatively comprehensive symptom entity extraction result can be obtained, the completeness of the symptom entity in the medical knowledge graph is improved, and the reference value of the medical knowledge graph is further improved. In addition, a binary entity pair of symptoms and symptom details and a corresponding relationship type are constructed, so that the medical corresponding relationship between the symptoms and thesymptom details can be analyzed according to the medical knowledge graph.

The invention discloses a medical image diagnosing system and a diagnosing method based on migrated nuclear matching tracing. The whole system comprises an image preprocessing module, an image feature extracting module, an image migrated nuclear matching tracing diagnosing module and an image unidentified sample testing module. The image preprocessing module completes the redundancy removal of original images and the equalization strengthening processing of histograms. The processed images are extracted to obtain gray level cooccurrencematrixes, Hu matrixes, and Brushlet and Contourlet features as a sample set, thus a source field, a target filed identified training sample set and a target filed unidentified training sample set are obtained. The migrated nuclear matching tracing learning is carried out on the source field and the target filed identified training sample set, thus a refreshed target field training sample set and a training classifier are obtained. The training classifier is used for classifying and diagnosing the unidentified testing samples and outputting final diagnosing results. The invention can relieve the defect that the quantity of medical reference samples is few, effectively enhance the medical image diagnosing identification rate and can be used for assisting the clinical diagnosing of medical images.

The invention relates to a water supply pipe network auxiliary DMA zoning method and system based on graph theory. The method comprises firstly dividing water supply areas of various water sources, and then obtaining a fine division in the water supply area of each water source; finally, abstracting the small partition into points, simplifying the pipe network structure and re-partition, and getting the final DMA partition of each water source. By combining the spatial topology with graph theory algorithm, based on the determination of each water supply area, using the depth-first search and double-connected component algorithm based on graph theory, combined with defining the number of users of DMA scale and the number of boundary points, the precise partition of the pipe network is realized. Based on the obtained minimum partition, the related methods are used to realize the gradual expansion of the partition scale after abstraction into points. The proposed partition mode from partition to total, from small to large, provides a new idea for the partition of water supply network, and has great reference value for the partition planning.

The invention relates to a turbine tester which comprises a combustion gas generator including a compressor, a combustion chamber and a working turbine, and a fuel control module. The turbine tester further comprises a tester including an interstage combustion chamber and a tested turbine. The interstage combustion chamber is arranged behind the combustion gas generator, so that the high temperature high pressure gas in the combustion chamber flows by the working turbine and enters into the interstage combustion chamber. The tested turbine is arranged behind the interstage combustion chamber, the high temperature high pressure combustion gas of the interstage combustion chamber flows by the tested turbine and pushes the test turbine to rotate. The combustion gas generator is decoupled from the test turbine.

The invention discloses a bond quality assessment method for new-old interface in building restoration. According to the invention, a novel restricting test piece is formed in the way that holes in a certain shape are formed on a basis material in a certain shape, then new pouring material is poured in the holes as required, and the bond quality of the new-old interface can be assessed through the performance indexes of the bond interface. According to the method, the test piece plays the role of restricting the new pouring material, so that the effects of the expansion and contraction of the new pouring material on the bond quality of the interface can be reflected. Therefore, due to the adoption of the method, the result is more similar to the practical restricted condition of the new pouring material.

The invention discloses a snake-shaped robot with a nuclear equipment pipeline detecting function. The robot comprises a snake body formed by mutually connecting at least two joint modules, a snake head, a snake tail, joint drivers, a detecting system, a locating system, a communication system, an upper computer, a control system and a power supply system, wherein the snake body, the snake head and the snake tail form a main snake body, the joint drivers are installed in the joint modules and used for driving the joint modules to change the rotating angle. The robot is reasonable in design, convenient to operate, high in sensitivity, accurate in monitoring and locating, capable of being successfully applied to nuclear equipment pipelines and other detecting fields, and suitable for application and popularization, and the main snake body is small in size.

The invention relates to an optical engine, wherein a transparent cylinder sleeve is arranged between a cylinder body and a cylinder cover of the engine, a piston is the original piston of the engine, and the length of the transparent cylinder sleeve is greater than the stroke of the engine. The invention specifically provides the optical engine which is based on rapid transformation of a multi-cylinder prototype machine and is applicable to researching the formation of a flow field, spray and mixed gas in the cylinder of the engine, in particular to researching the formation of the mixed gas of the optimized engine and a direct-injection engine in the cylinder.

The invention discloses an acceleration measurement method based on atomic interference in an optical waveguide, which includes the following steps: S1, preparing a cold atomic group; S2, loading an optical waveguide: keeping the atomic group in a magnetic insensitive state, opening the optical waveguide, and putting the atomic group in the optical waveguide; S3, atomic interference: applying PI/2, PI and PI/2 light pulses to the atomic group through two beams of Raman light or Prague light to realize beam splitting and combining of the atomic group, and constructing an atom interferometer; and S4, imaging detection: after interference, letting the atomic group freely fall for a period of time, carrying out detection through CCD or PD, and calculating the axial acceleration of the optical waveguide according to the detection result. The method and the device have the advantages of simple principle, simple operation, high accuracy, and the like.

The invention discloses a medium and long term runoff ensemble forecasting method based on multi-model combination, and relates to the technical field of hydrological prediction. According to the method, multiple machine learning algorithms are adopted to construct a medium-and-long-term runoff forecasting model, the medium-and-long-term runoff forecasting model is used as a weak learner, and an integrated model construction method based on multi-model combination is provided on the basis. Meanwhile, equivalent forecast is searched through parameter disturbance to construct a forecast set, andensemble forecast is carried out. Compared with an existing common deterministic forecasting method, the method has the advantages that part of defects existing in the method are improved, and the precision and generalization capacity of medium-and-long-term forecasting are improved. Meanwhile, the uncertainty of forecasting is quantitatively described through probability forecasting, and the accuracy and reference value of forecasting are improved.

A method for preparing nanometer vanadium/chromium carbide composite powder by reduction with a microwave method is characterized by comprising the following steps: a, taking 5.60-7.35 g of nanometer vanadium oxide, 5.40-7.10 g of nanometer chromium oxide and 5.40-6.20 g of carbonaceous reducing agent in proportion by weight, placing the materials into a ball mill, and fully mixing the materials by taking absolute ethyl alcohol or acetone as a ball-milling medium, so as to obtain a mixed material; b, placing the mixture obtained in the step a into a drying box, drying the mixture at the temperature of 100-200 DEG C for 1-3 hours, and then compressing the dried mixture into blocks for standby; and c, placing the blocks obtained in the step b into a microwave sintering furnace, performing carbonization reduction on the blocks at the temperature of 700-1000 DEG C for 5-30 minutes under the protection condition of vacuum, argon or hydrogen environment, so as to obtain the nanometer vanadium/chromium carbide composite powder with the average grain diameter of 100 nm and uniform grain fineness distribution.

The invention discloses a multi-parameter adjustable operating mechanism based on a dual-coil structure, belonging to the field of a switch apparatus, to solve the problems that there is no test technological reserve for a high-voltage direct current relay at present, and design and verification of different models of relay products are short of analysis theory and evaluation data. The multi-parameter adjustable operating mechanism comprises an electromagnetic system, a contact system, a magnetic quenching system and a base; the magnetic quenching system is arranged at the two sides of the contact system; both the electromagnetic system and the magnetic quenching system are fixed on the base through bolts; a contact clamping mechanism is arranged on the contact system for clamping a movable contact and a static contact; and the electromagnetic system drives the contact system to realize on/off operations of the movable contact and the static contact as a power source. The multi-parameter adjustable operating mechanism is used for an arcing test, provides a test platform for arc characteristic analysis and arc mechanism exploration, and provides a verification platform for design of a relay product acting mechanism and an arc extinguishing system.

The invention relates to the technical field of automobile control and particularly relates to a differential pressure pipeline icing delayed diagnostic method for a gasoline engine particulate filter. A differential pressure value is monitored, the environment temperature Th, the exhaust temperature Tp, the parting duration and the starting duration data are collected at the same time and compared with a T1-t1 two-dimensional table and/or T2-t2 two-dimensional table and/or a T3-t3 two-dimensional table, and whether a differential pressure pipeline of a vehicle is iced or not is judged; when the practically-measured differential pressure value exceeds a given upper limit value or a given lower limit value and if it is judged that the differential pressure pipeline is iced, fault alarming of a differential pressure sensor is delayed; if it is judged that the differential pressure pipeline is not iced, fault alarming of the differential pressure sensor is carried out immediately; and thevehicle can judge the icing condition of the differential pressure pipeline icing at different parking environment temperatures according to practical environment conditions so as to avoid error diagnosis to the differential pressure sensor when the differential pressure pipeline is blocked.

The invention provides an influence assessment method and system and relates to the technical field of data mining. The method comprises the following steps: personal information of a target person isobtained, the personal information is derived from the Internet; according to a preset assignment rule, influence-relevant first parameter information in the personal information is scored to obtainan influence scoring result; according to the influence score result, an influence quantification value of the target person is determined; through the Internet, the personal information can be collected quickly at low cost; by assigning and scoring various dimensions of influence in the personal information, influence can be accurately quantified, and the influence quantification value can be obtained; the method characterized by is fastness, comprehensiveness, in-depth property and high precision. Therefore, the influence assessment method and system provided in the invention can help reducetime, labor and costs required for the assessment; accuracy and reference value of assessment results can be improved, and users' demand can be met.