35results about How to "Solve decision problems" patented technology

The invention provides a selection method of a cooperative cell, a service base station for realizing the same and a communication system. The service base station judges whether needing to provide cooperative transmission for a terminal or not according to a measurement and calculation result of channel quality indication fed back by the terminal; and when the service base station needs to provide the cooperative transmission for the terminal, the service base station selects the cooperative cell participating in the cooperative transmission for the terminal. The selection method of the cooperative cell, the service base station and the communication system can conveniently and effectively solve the problem of judgment and selection of the cooperative cell.

The invention discloses an anti-shielding tracking method of a small target in a large-scale scene relating to a target tracking method. According to the invention, the problem in the prior art that the target information of the small target in the large-scale scene obtained in the tracking process is relatively little and the tracking target is liable to be lost is solved. The method comprises following steps: detecting the positions in which a target is located in the front t0 frames of images by the cross-correlation filtering target detection method; judging whether the target is shielded starting from the t0+1 frame of image, if the target is shielded, predicting and tracing the position of the target by the Kalman filtering trajectory prediction method; if the target is not shielded, determining the accurate position of the target through the tracking method combining the cross-correlation filtering target detection method and the Kalman filtering trajectory prediction method. According to the invention, the cross-correlation filtering target detection method and the Kalman filtering trajectory prediction method are creatively combined so as to solve the problem that the small target is liable to be lost when being shielded.

The invention relates to a system and method for monitoring driving behaviors in a real-time manner. The system comprises a vehicle-mounted terminal and a backend server, wherein the vehicle-mounted terminal is in wireless connection with the backend server; the vehicle-mounted terminal comprises a data acquiring unit, a first data transmitting unit, a command receiving unit and a voice alarming unit; the first data transmitting unit is connected with the data acquiring unit; the command receiving unit is connected with the voice alarming unit; the backend server comprises a second data receiving unit, a data processing module and a command transmitting unit; the second data receiving unit is connected with the data processing module; the data processing module is connected with the command transmitting unit; the first data transmitting unit is in wireless connection with the second data receiving unit; and the command transmitting unit is in wireless connection with the command receiving unit. According to the system disclosed by the invention, in the driving process of a vehicle, data is acquired through the data acquiring unit and is classified and compared through the data processing module, so that different driving behaviors are judged, and real-time monitoring is realized.

The invention discloses a dual-tree Monte Carlo search algorithm for solving a large-scale sequential synchronous game problem. Compared with a sequential synchronous Monte Carlo search based on single tree structure, the invention has the advantages that two trees are established to represent the state transition of both sides of the game, which greatly reduces the selection branches of the gametree and reduces the size of the game tree while maintaining the characteristics of synchronous operation, the explosion problem caused by synchronous action is eliminated and the searching depth is increased, the quality of the solution is ensured, and also the efficiency of the solution is improved. Specific technical means include: through the construction of a Nash equilibrium support library,the problem that synchronous Nash equilibrium online calculation time is too long is solved; a deep strategy net and a deep valuation net of a sequential synchronous game are designed, realizing knowledge guidance of sequential synchronous search; research on environment-oriented reinforcement learning solves the decision-making problem under the condition of state transition or lack of benefits.

The embodiment of the invention discloses a violent cracking attack detection method, system, device and storage medium, and relates to the technical field of network security. According to the embodiment of the invention, a multi-section violent cracking attack behavior model is established based on a behavior analysis method; The whole violent cracking attack process is completely described by the model, the characteristics and detection elements of different stages of the attack are defined, a basis is provided for confirming an attack result by summarizing different behavior elements of attack success and attack failure conditions, and the problem of judgment of the violent cracking attack result is solved.

The invention relates to the field of constructional engineering and particularly relates to a method for arranging pile foundations in a complex soft soil foundation. The invention adopts the following specific technical scheme that the method for arranging the pile foundations in the complex soft soil foundation comprises the following steps of: uniformly drawing contour lines on the foundation; arranging pile foundation piling positions on the foundation on which the contour lines are drawn and carrying out trial piling to extract a rock sample in the foundation; measuring distances between the contour lines and an elevation of a region and selecting the depth that each pile foundation is piled into a rock fundamental plane; measuring a perpendicular length of positions between each two adjacent contour lines, which pass through the center point of the position of the pile foundation, and a perpendicular length between each contour line and the center point of the position of the pile foundation; and dividing the value of the perpendicular length between each contour line and the center point of the position of the pile foundation by the value of the perpendicular length of the positions between each two adjacent contour lines, which pass through the center point of the position of the pile foundation, so as to determine the elevation of a pile tip. The invention adopts the technical scheme and provides the method for arranging the pile foundations in the complex soft soil foundation, which can be used for testing the arrangement depth of the pile foundations in the complex soft soil foundation, enable a building not to be settled and enable intensity to be improved.

The invention discloses a method for judging the stability state of a slope under a load. The physical and mechanical parameters of unsaturated soil are determined by geotechnical test, the position of sliding surface is assumed, and the length of the assumed sliding surface and the angle between any point on the sliding surface and the two ends of the load are obtained. The stability coefficientcalculation model based on load is established to calculate the stability coefficient of landslide. According to the calculation results, the slope stability state is evaluated and different reinforcement measures are taken according to different slope stability state. The invention has the beneficial effects of improving the reliability, accuracy and scientificity of the prediction, and providingtechnical support for the stability analysis, monitoring and early warning of the slope under the action of the load.

The invention discloses a construction method of the damage estimation model of a RC (Reinforced Concrete) frame structure layer. The construction method comprises the following steps: 1) expressing the displacement damage indexes of each layer of beam and each layer of column in the RC frame structure as univariate functions; 2) distributing the cumulative plastic deformation energy distribution coefficient of each layer of beam in the RC frame structure according to a beam column energy consumption ratio, and determining the damage index of each layer of beam in the RC frame structure; 3) distributing the cumulative plastic deformation energy distribution coefficient of each layer of column in the RC frame structure according to the beam column energy consumption ratio to determine the damage index of each layer of column in the RC frame structure; 4) carrying out weighted combination on the damage indexes of each layer of beam and each layer of column in the RC frame structure according to the beam column energy consumption ratio to obtain the damage index of each layer of the RC frame structure; and 5) defining the expression of the ith layer of damage index of the RC frame structure as an ith layer of damage evaluation model of the RC frame structure. The construction method is convenient in implementation, reduces a calculation workload and does not generate a large accumulative error.

The invention discloses an AIS-based ship collision avoidance decision method, which comprises the following steps of establishing a two-dimensional Cartesian coordinate system by using a true motion mapping method, and calculating speed components of a ship and other ships as well as a nearest meeting distance DCPA and a minimum meeting time TCPA when the two ships meet according to an analytic geometry principle and AIS information, judging the collision danger according to the nearest meeting distance DCPA and the minimum meeting time TCPA, based on the nearest meeting distance DCPA and the minimum meeting time TCPA, converting the coordinates into new position vectors through corresponding conversion, and judging the meeting situation of the ship and other ships, calculating a steering point and a ship collision avoidance steering angle according to the nearest meeting distance DCPA and the minimum meeting time TCPA, after the collision avoidance action is adopted, determining the effectiveness of the collision avoidance action again according to the AIS information, and according to each position coordinate of the other ship relative to the ship in the whole collision avoidance process, determining a course recovery point, a course recovery point and a steering angle during re-navigation.

The invention provides a vector inner product-based skeleton extraction method. The method comprises the following steps of obtaining an internal pixel point and a position of a nearest boundary point corresponding to the internal pixel point through the distance transformation process so as to construct a boundary vector pointing from the internal pixel point to the nearest boundary point; based on the vector inner product, judging the variation trend of the direction of each boundary vector in the neighborhood of the internal pixel point 8 so as to determine the position of a candidate skeleton point; based on the analysis of regression, completing the skeleton extension and finally obtaining a connected skeleton. The method of the invention effectively solves the problems that other skeleton extraction methods are easily influenced by the boundary noise and there isn't an equilibrium between the connectivity and the skeleton position accuracy in the prior art. Based on the method of the invention, the extracted skeleton is accurately positioned and good in connectivity. Meanwhile, the running speed meets the requirement of an image analysis system. Therefore, the method has the practical application value.

The invention relates to an elevator fault judgment method and an intelligent rescue device. The intelligent rescue device comprises a master controller, a brake, a door opener and a motor. The mastercontroller is connected with an encoder. When an elevator normally runs, the encoder and the motor synchronously rotate according to the time sequence and distance, pulse signals are sent to the master controller, a flat layer inductor and an induction device which are mutually inducted are included, the induction device is fixedly arranged at the position of a well flat layer, and the flat layerinductor is arranged at the corresponding position of an elevator car. The elevator fault judgment method is further included; firstly, the sufficient condition is about whether the pulse signals ofthe encoder are sent out or not; secondly, according to the necessary condition, the flat layer inductor does not have output signals; and the elevator is in a fault state when the necessary conditionand the sufficient condition are met at the same time, and the intelligent rescue device is started for achieving automatic rescue. Under the situation that the facility or communication protocol isnot increased, through collection of encoder signals and door area signals, when the sufficient condition and the necessary condition are met, the rescue device is started, and the purpose of intelligent rescue is achieved.

The invention discloses a decision method used for profile control of an oil-field water injection well. The technical scheme is that the decision method comprises the following steps: (1) firstly testing the vacuum value of the wellhead oil pressure of the water injection well under the injection allocation condition by adopting a vacuum meter when the wellhead oil pressure of the water injection well is a negative value during a testing process; then, suddenly shutting down the well, and recording changes of wellhead vacuum with time; (2) converting the tested vacuum into absolute pressure; then, drawing a wellhead falloff curve of the water injection well by adopting the absolute pressure as a Y-axis and the time as an X-axis, and then, performing calculation and application according to the PI (pressure index) decision method. According to the decision method disclosed by the invention, decision aiming at when the wellhead oil pressure of the water injection well is the negative value is the supplement and improvement of wellhead PI decision; the calculation is performed by converting the vacuum into the absolute pressure value during wellhead PI decision testing of the absolute pressure in comparison with the decision made by adopting gage pressure in general, and therefore, the decision problem generated when the water injection well is negative in pressure is solved.

The invention provides a method for calculating the distance between a golf yard point and a hole cup and a related product. A putting green coordinate system for measuring the position of the hole cup in the putting green is expanded from the whole fairway of the hole, so that a fairway yard point can also be measured by using the same putting green coordinate system; the transverse distance of the hole cup is given in the putting green, a coordinate hole position map, and a basic hole cup yardage book are generated. the distance from the yard point to the hole cup is accurately calculated, the hole cup distance table is generated, the hole cup yardage book is generated, and the problem that the distance from the golf track yard point to the hole cup is not solved for many years in the golf field is fundamentally solved.

The embodiment of the invention provides a disk anomaly detection method based on neighborhood partitioning and isolation reconstruction, which comprises the following steps: collecting disk SMART information, screening effective disk feature attributes to form a data set, and carrying out exponential smoothing processing on the data set to obtain a disk training set; randomly sampling the training set for multiple times to obtain a plurality of sub-training sets, constructing a disk feature isolation region in the sub-sets by taking the distance from each point to the nearest point as a radius, and taking test points which do not belong to any region as global anomalies; for a non-global abnormal test point, using the radius ratio of the area where two continuous neighbor points are located as a front abnormal value of the test point in the area; reconstructing an area after a test point is included, and taking a radius ratio of the area where the test point is located before and after reconstruction as a post abnormal value of the test point in the area; and obtaining an exception score by combining previous and later exception values of all areas where test points are located. According to the technical scheme provided by the embodiment of the invention, the abnormal disk recall rate can be effectively improved.

The invention relates to the technical field of medical care informatics, in particular to the technical field of information specially used for treating or processing medical or health data, and discloses a disease diagnosis and prediction system for deriving a fuzzy object language concept lattice based on attributes. The system comprises: a data collecting module which is used for acquiring symptom language expressions of patients with known disease diagnosis results, and determining an attribute export fuzzy object language concept set through a fuzzy object language form background; a rule extraction module which is used for extracting an attribute export fuzzy object language three-way decision rule from the attribute export fuzzy object language concept set to obtain an attribute export fuzzy object language three-way decision rule set; and a disease diagnosis module which is used for acquiring the symptom language expression of the patient to be predicted, exporting a fuzzy object language three-way decision rule set according to the attributes, and determining a disease diagnosis result of the patient to be predicted. According to the invention, language information problems in decision analysis can be processed, and intelligent medical diagnosis results are provided.

The invention designs an ultrasonic radial detection calibration test block and a detection method for axle products for railway locomotives and vehicles, and the calibration test block is an assembly composed of 15 ultrasonic radial detection calibration test blocks with different diameters. The basic principle for manufacturing and using the ultrasonic radial detection calibration test block is as follows: a test block blank which is completely the same as a detected axle product in material and heat treatment state and is the same as or similar to the detected axle product in surface state and type size is adopted for manufacturing the test block, so that the accuracy of quantity value transmission during detection is ensured.

The embodiment of the present invention discloses a brute force attack detection method, system, device, and storage medium, which relate to the field of network security technology. The embodiment of the present invention establishes a multi-stage brute force attack behavior model based on a behavior analysis method, and the model is complete. Describes the whole process of brute force attack, clarifies the characteristics and detection elements of different stages of attack, and provides a basis for confirming the attack result by summarizing the different behavior elements of attack success and attack failure, and solves the problem of judging the result of brute force attack .

The invention discloses a visual quality detection method for industrial production, and the method comprises the following steps: loading an original electronic drawing, and analyzing to-be-detected data in the original electronic drawing; creating a detection target directly on the electronic drawing according to the to-be-detected data to form a target drawing, displaying the detection target directly on the target drawing, and the detection target comprising a target data set directly marked at the to-be-detected position of the electronic drawing; creating a test plan, creating the test plan in the background, integrating the test plan with the target drawing to form a test drawing, and directly inputting a detection result at a to-be-detected position of the test drawing; and storing the test drawing and forming a visual report. The invention also discloses a system for realizing the method, the detection result is convenient to identify and judge, drawings and record tables do not need to be printed, automatic production can be realized, and the production efficiency is improved.

The invention discloses an intelligent decision-making method and system for realizing continuous action decision-making based on GP and PPO, the system comprises a world model, a strategy model and an experience pool, simulation experience generated by the world model is stored in the experience pool, the world model is a world model based on GP, the strategy model comprises a PPO algorithm, and the PPO algorithm comprises a PPO algorithm. And the PPO algorithm utilizes simulation experience in the experience pool to carry out reinforcement learning. According to the Dyna-PPO method based on the GP, a DQN algorithm in a Dyna-Q framework is replaced with an optimized PPO algorithm, the improved framework has the advantages of a model-free DRL scheme and a model-based DRL scheme and can be used for solving the decision-making problem of continuous actions, and therefore continuous action decision-making based on the Dyna-framework is achieved.

The invention relates to a system and method for monitoring driving behaviors in a real-time manner. The system comprises a vehicle-mounted terminal and a backend server, wherein the vehicle-mounted terminal is in wireless connection with the backend server; the vehicle-mounted terminal comprises a data acquiring unit, a first data transmitting unit, a command receiving unit and a voice alarming unit; the first data transmitting unit is connected with the data acquiring unit; the command receiving unit is connected with the voice alarming unit; the backend server comprises a second data receiving unit, a data processing module and a command transmitting unit; the second data receiving unit is connected with the data processing module; the data processing module is connected with the command transmitting unit; the first data transmitting unit is in wireless connection with the second data receiving unit; and the command transmitting unit is in wireless connection with the command receiving unit. According to the system disclosed by the invention, in the driving process of a vehicle, data is acquired through the data acquiring unit and is classified and compared through the data processing module, so that different driving behaviors are judged, and real-time monitoring is realized.

The present invention relates to the technical field of medical care informatics, that is, the field of information technology specially used for handling or processing medical or health data. The present invention discloses a disease diagnosis and prediction system based on attribute derived fuzzy object language concept lattice. The system includes: data The acquisition module is used to obtain the symptom language expression of patients with known disease diagnosis results; through the background of the fuzzy object language form, the attribute is determined to derive the fuzzy object language concept set; the rule extraction module is used to derive the fuzzy object language concept set from the attribute, Extract attributes to derive the three-branch decision-making rules of fuzzy object language, and obtain the set of three-branch decision-making rules of attribute-derived fuzzy object language; the disease diagnosis module is used to obtain the symptom language expression of the patient to be predicted, and derive the three-branch decision-making rule set of fuzzy object language according to the attributes, Determine the disease diagnosis result of the patient to be predicted. The invention can deal with language information problem in decision analysis and provide intelligent medical diagnosis result.

The invention discloses a method and a device for determining going upstairs or downstairs of a user. The method comprises the steps of reading values of a triaxial acceleration sensor and a digital compass which are arranged inside a mobile phone of the user and judging whether the user is in a motion state; when the user is confirmed to be in the motion state, judging whether the user moves in a two-dimensional plane; when a condition that the user is not in the two-dimensional plane is confirmed, judging whether the user is in a stair area through wireless indoor positioning; when a condition that the user is in the stair area is confirmed, correcting the output value of the digital compass and obtaining a motion direction of the user; comparing the motion direction of the user with data of directions of going upstairs and going downstairs which are saved in advance and determining whether the user goes upstairs or downstairs; and judging whether the user completes an upstairs going process or a downstairs going process and updating data of the current floor according to a judging result. By the aid of the method and the device, judgment of the user going upstairs or downstairs is achieved, judging accuracy of stairs in an indoor positioning process is greatly improved and user experience are enriched.

The invention provides a selection method of a cooperative cell, a service base station for realizing the same and a communication system. The service base station judges whether needing to provide cooperative transmission for a terminal or not according to a measurement and calculation result of channel quality indication fed back by the terminal; and when the service base station needs to provide the cooperative transmission for the terminal, the service base station selects the cooperative cell participating in the cooperative transmission for the terminal. The selection method of the cooperative cell, the service base station and the communication system can conveniently and effectively solve the problem of judgment and selection of the cooperative cell.

The invention provides a low-voltage distribution area identification method and system, and the method comprises the steps: searching an area concentrator adjacent to each area concentrator, and building the pairwise adjacent relation; determining a grey list user of each transformer area concentrator based on the white list user of each transformer area concentrator with the proximity relation;determining a transformer area concentrator to which each grey list user belongs according to the number of users establishing communication with each grey list user; and setting the grey list user asa white list user of a transformer area concentrator to which the grey list user belongs, wherein the user side does not need to install a sending device, so that identification cost is greatly reduced, the safety is improved, a corresponding user number is obtained through the A transformer area user grey list and the B transformer area user grey list; the method and the system greatly improve the recognition efficiency and recognition accuracy, enable each user in the user grey list to sequentially communicate with all users in the user white list of the local district and the adjacent district based on the power line carrier, solve a problem of user judgment in the user grey list, are simple and easy to implement, and save the time cost and labor cost.

An embodiment of the present invention proposes a disk anomaly detection method based on neighborhood partitioning and isolation reconstruction, including: collecting disk SMART information, filtering out effective disk feature attributes to form a data set, and performing exponential smoothing processing on it to obtain a disk training set ; Sampling the training set randomly for multiple times to obtain multiple sub-training sets, in the subset, the distance between each point and its closest point is used as the radius to construct the disk feature isolation area, and the test points that do not belong to any area are regarded as global anomalies; for non-global anomalies For the test point, the ratio of the radius of the area where the two consecutive adjacent points are located is regarded as the former abnormal value of the test point in this area; the area is reconstructed after including the test point, and the radius ratio of the area where the test point is located before and after reconstruction is used as the test point. The back abnormal value in this area; the abnormal score is obtained by combining the front and back abnormal values ​​of all the areas where the test point is located. The technical solution provided by the embodiment of the present invention can effectively improve the recall rate of abnormal disks.

The invention provides an optimal adaptive strategy decision-making method based on a GAPSO algorithm and is to solve the technical problem of low decision-making efficiency under the condition where the number of strategies in an adaptive strategy space is huge in the prior art. The method comprises the following realization steps: 1) obtaining a decision-making requirement of an adaptive system; 2) establishing the adaptive strategy space; 3) constructing a fitness function; 4) carrying out calculation on the adaptive strategy space by utilizing crossover and mutation of a GA algorithm to obtain an intermediate strategy space, selecting an adaptive strategy corresponding to an optimal fitness function value from the intermediate strategy space by utilizing the GA algorithm and adding the selected adaptive strategy to a target strategy space, updating the residual adaptive strategies in the intermediate strategy space through a PSO algorithm and adding the update result to the target strategy space to obtain the target strategy space; and 5) obtaining an optimal adaptive strategy. The method has the advantages of high decision-making efficiency, wide range of application and being capable of preventing conflicts between the adaptive strategies.

The invention provides a statistic model based method for determining the discarded wind power quantity of a wind power plant. The method comprises the following steps: I, dividing a wind turbine generator and selecting a sample unit; II, establishing an input wind speed-power statistic model of the sample unit according to historical data; III, searching discarded wind power data points which are not in the sample unit; IV, obtaining the discarded wind power quantity of the wind turbine generator; V, obtaining the discarded wind power quantity of the wind power plant. According to the method, based on recorded data of an SCADA (Supervisory Control And Data Acquisition) system of the wind power plant, an evaluation method of the discarded wind power quantity of the wind power plant is provided, thus providing the basis for managing the wind power plant by a scheduling department, and providing the reference for planning the wind power plant and electric power facilities.

The invention provides a method for determining pipeline recesses through triaxial magnetic leakage internal detection line signals. The method uses four three-dimensional hall sensors to record three magnetic leakage signals with independent axial directions, analyzes component characteristics of magnetic leakage in three directions at pipeline defects through a specialized?magnetic leakage data read tool, and determines types of the defects as well as depth, length and width information of the defects. If the following conditions are met, recesses can be determined to exist in the pipeline: (1) an amplitude changing of an axial signal is less than or equal to 5 mt; (2) a radial signal is a bidirectional pulse wave, a height amplitude of the signal?is more than or equal to 20 mt and a continuously changed length of the signal is more than 10 mm; and (3) an amplitude changing of a transverse signal is less than or equal to 5 mt. A relationship between the defect sizes and the magnetic leakage signals is that a defect depth d (mm) is in an exponential relationship with the height amplitude h (mt) of the radial signal, that is, d=18.82*e^0.001h. The method is simple and reliable to determine recess signals of the internal detection.

The invention discloses a fault-tolerant coding method based on a picture adaptive frame field, and the method comprises the following steps of conducting field coding and frame coding on an original video, transmitting a frame I in the original video by utilizing the field coding, conducting the following treatments on each frame P in the original video: a, calculating end-to-end distortion cost of the current frame adopting the field coding, and marking the end-to-end distortion cost of the current frame as RDmode1, correspondently evaluating the end-to-end distortion cost of all subsequent frames P, and marking as RM1; b, calculating the end-to-end distortion cost of the current frame adopting the frame coding, and marking as RDmode2, correspondently evaluating the end-to-end distortion cost of all subsequent frames P; c, transmitting the current frame by adopting the frame coding when RDmode 2 is less than RDmode1 and RM2 is less than RM1, and otherwise transmitting the current frame by adopting the field coding; and d, traversing all frames P according to the steps of a, b and c. The method is simple to operate and capable of obtaining a code with good fault-tolerance property.