53results about How to "Resolve imprecision" patented technology

The invention discloses an electromotor dynamic / stable stage parameter identification method based on a stator resistance observer. For the parameter identification at a dynamic stage of an electromotor, a stator resistance T-S (Takagi-Sugeno) fuzzy observer is introduced to obtain an actually-measured value of stator resistance on the basis that the existing MRAS (Model Reference Adaptive System) method is still adopted, and dynamic correction is carried out on a rotating speed reference model and a resistance reference model according to the actually-measured value of the stator resistance; and for the parameter identification at a stable stage, the identification method for the rotating speed of a rotor is achieved by adopting the MRAS method and the stator resistance T-S fuzzy observer which are the same as those adopted in the parameter identification at the dynamic stage, and the identification method for the resistance of the rotor is achieved by adopting simple conversion. The electromotor dynamic / stable stage parameter identification method based on the stator resistance observer has the beneficial technical effects that the problem of inaccurate reference models is solved, the low-speed operating performance of the electromotor can be improved, the adoption of a current injection method is avoided, the current injection equipment is saved, the complexity of a system is lowered, the introduction of torque ripple is avoided, and the like.

The invention discloses a display content amplification control method and device and a terminal. The display content amplification control method comprises the steps that after a pressing event on adisplay region of a screen is received, a changeable selected region is formed with the triggering position of the pressing event being a center; and when confirmation operation is received, display content in the selected region is amplified. Through the display content amplification control method and device and the terminal, quick and accurate amplification can be realized.

The invention discloses an upper limb rehabilitation robot control method based on adaptive online learning, and belongs to the field of upper limb rehabilitation robot control system design. The method comprises the operating steps of 1) using Lagrange's kinetic equation to establish a dynamic model of the single-arm system of the upper limb rehabilitation robot; 2) designing a control system model of the upper limb rehabilitation robot based on adaptive online learning; 3) establishing a control simulation model for adaptive online learning of the upper limb rehabilitation robot in MATLAB / Simulink; and 4) through simulation experiments, analyzing the angle and angular velocity tracking errors, and the error convergence of the upper limb rehabilitation robot under the adaptive online learning control method. The method of the invention has innovative and simulation basis, can solve the defects of large errors and insufficient robustness in the motion control of the existing upper limbrehabilitation robot, and has great guiding significance for the design of the upper limb rehabilitation robot control system.

The invention provides a neural network based sewage disposal process optimal control method and aims to solve the problem of excessive energy consumption during a sewage disposal process. The sewage disposal process is a highly non-linear, time-varying and complicated process, and on the premise that effluent qualities meet the standard, reduction of operation energy consumption is much challenging. The method mainly includes two neural networks, wherein one neural network is used for establishing a sewage disposal process prediction model so as to achieve prediction of performance indexes, and the other neural network is used for real-timely optimizing control variable set values according to system states and predicted performance indexes. Finally, optimal control of dissolved oxygen concentration and nitrate nitrogen concentration is achieved, so that requirements of effluent qualities can met, and meanwhile, operation costs of the sewage disposal process can be effectively reduced.

The invention proposes an automatic foreground extraction method based on multi-view fusion, which is used to solve the technical problems that the extraction process is cumbersome and the extracted foreground edge is inaccurate in the existing foreground extraction method based on graph cutting. The present invention first trains the SVM classifier, then grayscales the image to be extracted to obtain a grayscale image, detects the sub-image containing the foreground in the gray-scale image through the trained SVM classifier, and uses the sub-image to be extracted The position coordinates in the image are used as the input of the GrabCut algorithm. Foreground extraction is performed on the image to be extracted to obtain the extraction result under the pixel perspective of the image to be extracted. The superpixel image is generated from the image to be extracted with the SLIC algorithm. By fusing the superpixel image and the pixel perspective The following extraction results can be obtained to obtain accurate foreground extraction results of the image to be extracted. The invention can be used for the application and research of stereo vision, image semantic recognition, three-dimensional reconstruction, image search and the like.

The invention discloses a static heterogeneous reconfigurable array layout method based on multi-stage simulated annealing, and relates to the field of interconnection architectures of reconfigurablearrays. The method is characterized in that the graph distance is utilized to construct the position constraint of the heterogeneous resources, and a staged simulated annealing method is utilized to separate the mutual influence of the heterogeneous resources in the same simulated annealing. According to the method, a novel cost function based on the graph distance is constructed to solve the problem that a traditional cost function is inaccurate in heterogeneous array modeling, and then a staged simulated annealing layout scheme is provided according to the characteristics of different heterogeneous units. Compared with a result obtained by applying a traditional scheme to a heterogeneous array, the multi-stage simulated annealing method applying the novel cost function can averagely improve the throughput rate by 29.6% under the condition of the same interconnection resources.

The invention discloses an automatic monitor for an angle of a base station antenna and an automatic monitoring method. The monitor and the method utilize an MEMS sensor to accurately measure a lower The invention discloses an automatic monitor for an angle of a base station antenna and an automatic monitoring method. The monitor and the method utilize an MEMS sensor to accurately measure a lowerinclination angle of the base station antenna through the principle of a gravity accelerometer, utilize the principle of a reluctance sensitive device sensor to measure an azimuth angle of the base stinclination angle of the base station antenna through the principle of a gravity accelerometer, utilize the principle of a reluctance sensitive device sensor to measure an azimuth angle of the base station antenna and calculate and correct the azimuth angle so as to eliminate the deviation caused by magnetic disturbance measured by the position of the antenna and ensure the measuring accuracy, andation antenna and calculate and correct the azimuth angle so as to eliminate the deviation caused by magnetic disturbance measured by the position of the antenna and ensure the measuring accuracy, and utilize GPRS transmission and IP transmission modes to automatically transmit the antenna angle data obtained by measuring to a network management center. The monitor and the method solve the inaccurutilize GPRS transmission and IP transmission modes to automatically transmit the antenna angle data obtained by measuring to a network management center. The monitor and the method solve the inaccurate problems on installation and adjustment of the base station antenna in the prior modes, solve manual measurement error or instability, solve the measurement error influenced by the magnetic disturate problems on installation and adjustment of the base station antenna in the prior modes, solve manual measurement error or instability, solve the measurement error influenced by the magnetic disturbance at the position of the antenna, solve the problem that the antenna angle change is not discovered in time, and solve the problem of time and labor wastes for acquiring the antenna angle informatbance at the position of the antenna, solve the problem that the antenna angle change is not discovered in time, and solve the problem of time and labor wastes for acquiring the antenna angle information.ion.

The application discloses a method and device for intelligently finding a car in a parking lot. The method includes: detecting a vehicle parked in a parking space; invoking a camera capable of photographing the parking space to take pictures of the parking space; Get off the passenger from the vehicle; in the case that the judgment result is yes, obtain the characteristic information of the passenger from the multimedia file; obtain the multimedia files captured by all the cameras in the parking lot within a predetermined period of time after the vehicle is parked in the parking space ; Obtain the movement trajectory of the passenger in the parking lot corresponding to the characteristic information from the multimedia files captured by all cameras; receive the search request; search and display the movement trajectory of the predetermined user in the parking lot according to the characteristic information of the predetermined user. The application solves the inaccurate problem of recording the running track of the vehicle in the parking lot to assist the user in finding the car, and improves the accuracy of finding the car.

The invention discloses an EIT (electrical impedance tomography) lung imaging method based on a 3D accelerometer. The method comprises steps as follows: posture position information of a to-be-detected person is collected by the 3D accelerometer in real time and is transmitted to a controller of an EIT lung imaging system together with current electrode information; the controller judges whether the position information is changed according to the posture position information, and when the position information is changed, new position information is input into an image synthesis model, so that a new image synthesis algorithm is obtained; the currently collected electrode information is input into the new image synthesis algorithm, an image file is formed, finally, the image file is processed, and a tomographic image of the lung function is obtained and displayed by a terminal. The 3D accelerometer is adopted to collect the posture position information in real time, so that a doctor is not required to input related posture information manually and frequently; besides, the calculating accuracy of the 3D accelerometer is high, accordingly, continuity of an intensive care process is guaranteed, and the problem of inaccuracy caused by the fact a patient changes the posture himself in a long-term intensive care process is solved.

The invention relates to a medical detection appliance, in particular to a test electronic pen. The electronic pen comprises an outer shell (1), an upper shell (2), a lower shell (3), a test device (30) and test paper (20), wherein the front end of the outer shell (1) is connected with a liquid absorption plate (7), the liquid absorption plate (7) is covered by a protection sleeve (8), a circuit board (4) and a controller (14) are installed in the outer shell (1), the upper shell (2) and the lower shell (3), and the test electronic pen is characterized in that the test device (30) comprises an initial electrode (31) and a terminal electrode (32), and the test paper (20) comprises test paper (22) and reference test paper (21).