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 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 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 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 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 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 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.

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.