7176results about How to "Improve calculation accuracy" patented technology

In order to enhance accuracy of determination as to whether an object has contacted a screen and to enhance accuracy of calculation of a coordinate position of the object, edges of an imaged image are detected by an edge detection circuit 76, and by using the edges, it is determined by a contact determination circuit 77 whether or not the object has contacted the screen. Moreover, in order to appropriately control sensitivity of optical sensors in response to external light, by a calibration circuit 93, a drive condition of the optical sensors is changed based on output values of the optical sensors, which are varied in response to the external light.

A method and system for determining the location of objects within a geographic area is disclosed. In one embodiment, the system includes a plurality of portable transceiver devices each coupled to a respective object located within the geographic area; a plurality of stationary transceiver devices fixed at predetermined locations within the geographic area, wherein the plurality of stationary transceiver devices are each configured to determine received signal strength (RSSI) values of signals transmitted by the plurality of portable transceiver devices; and a base station, comprising a base station transceiver device and a computer coupled to the base station transceiver device, wherein the base station is configured to receive RSSI values from at least one of the plurality of stationary transceiver devices and calculate a location of at least one portable transceiver device based on the received RSSI values.

A system and method for identifying a pointing organ or a pointing device in a field of imaging of a 3-D imaging system and for calculating a line of pointing relative to this organ or device are disclosed. The method and system may be used to enable a user to communicate with computer programs, such as computer games, 3-D design programs and the like. The method and system may further employ a trigger-like mechanism to identify a movement of a user that may be interpreted as trigger activation.

A projection system includes an image projector, an invisible light transmitter and an invisible light sensor. The image projector is used for projecting a projection image on a physical plane. The invisible light transmitter is used for generating an invisible light plane, which is parallel with the physical plane. The invisible light sensor is in communication with the image projector. When a pointing object is placed on a touching point, an invisible light beam reflected from the pointing object is received by the invisible light sensor. According to the invisible light beam, a sensing signal indicative of a spatial coordinate position of the touching point is acquired and transmitted to the image projector. The image projector recognizes and calculates the spatial coordinate position of the touching point according to the sensing signal and performs a controlling action according to the spatial coordinate position.

The invention relates to the technical field of gait analysis in biomedical engineering and provides a human gait analyzing method and system based on multi-sensor fusion. The method comprises the steps of filtering sensor signals to eliminate the signal noise error according to human motion features, and eliminating the integral error by means of the improved zero velocity updating algorithm, so that the method and system can be adapted to different walking scenes; fusing multiple sensor data with the Denavit-Hartenberg method, and reducing the leg position calculation error; calculating the step speed, step length, step frequency, walking period and walking track of a tested person accurately during walking after error correction is conducted; establishing a gait database, and conducting statistic analysis on gait data of different tested persons with the quantile regression analysis method. By the adoption of the method and system, gait parameter measurement precision can be improved, and gait parameters of different tested persons are comparable through standardization.

The invention relates to a space borne TDICCD camera integral timing and adjusting method, which comprises the following steps: (1) the orbit is simulated with high precision in which positions parameters of photographed spots of the satellite under drift angle control or at different swinging angles are outputted such as vector coordinates and oblique distances of the photographed spots as well as vector simulation data for the satellite position; (2) the vector simulation data for the satellite position are analyzed to come out with the shift speeds of the photographed spots; (3) eliminate the radial-directional speeds from the shift speeds of the photographed spots to become the image motion speeds; (4) utilize the image motion speeds and the oblique distances of the photographed spots to obtain the integral times. The invention also provides a design method for TDICCD related parameters as well as a real-time adjusting method for integral times on the satellite under control of ground commands. The space borne TDICCD camera integral timing and adjusting method realizes an organic combination of simulation modeling with high precision and positional vector differential method, which eliminates errors introduced into the deduction process in traditional geometric analysis and calculation and controls error delivery to improve calculation precision; the arrival real-time adjusting method for integral times on the satellite ensures a reliable integral synchronous control.

The invention provides a power battery electric charge quantity estimation method. The method includes the following steps of firstly, obtaining the function relationship between the SOC and an open-circuit voltage through an open-circuit voltage method; secondly, measuring the initial value of the SOC; thirdly, sampling and obtaining the SOC estimated initial value of an unscented Kalman filter; fourthly, conducting Sigma point sampling of UT conversion of the unscented Kalman filter according to a battery state equation and an observation equation, obtaining an estimated value of the observation quantity, and estimating an SOC estimated value and a covariance of a power battery at the next moment. According to the method, the open-circuit voltage method and the unscented Kalman filter are used in cooperation for conducting SOC estimation, the estimation accuracy is high, the SOC initial value is obtained through the open-circuit voltage method, SOC estimation modification is conducted, the estimation accuracy is improved, and in the unscented Kalman filter non-linearization approximation process, errors are reduced, the calculation speed is high, and the SOC estimation efficiency is improved.

The invention discloses a self-adaptation three-dimensional attitude positioning method based on microinertia and a geomagnetic technology, comprising the following steps of: (1) inducing a motion attitude of a carrier by utilizing a sensor of a microinertia measuring device; (2) setting an initial attitude of the microinertia measuring device and accelerated speed and geomagnetic field information under a global coordinate system; (3) solving the attitude value of the microinertia measuring device; (4) predicting the attitude value of the microinertia measuring device by utilizing triaxial micro-gyroscope sensor data; (5) carrying out confidence judgment on the triaxial micro-acceleration sensor data and triaxial magnetic field sensor data, detecting the interference of a surrounding environment, and setting self-adaptation parameters; (6) obtaining the attitude error value of the microinertia measuring device by utilizing the triaxial micro-acceleration sensor data and the triaxial magnetic field sensor data which are processed in the step (5); (7) fusing the attitude predictive value obtained from the step (4), corrected information obtained from the step (6) and the self-adaptation parameters obtained from the step (5) to obtain the attitude value of the microinertia measuring device; and (8) outputting attitude information.

A current sensing module for disposal proximate a conductor is disclosed. The current sensing module includes a housing having a first section and a second section that together define an opening for receiving the conductor therethrough. The second section is in operable connection with the first section. The current sensing module further includes a micro-electromechanical system (MEMS) based current sensor disposed within the first section proximate the opening for receiving the conductor.

The invention relates to a wind power station energy storage capacity control method based on particle swarm optimization. The wind power station energy storage capacity control method includes the steps of taking the interval reference value of the wind power station output power which is adapted to the dispatching cycle of a power grid as a foundation, taking the influence of the wind-abandoning energy of a wind power station and the lost energy of an energy storage system into consideration, taking the lowest costs of the energy storage investment and a wind and power operation system as target functions, establishing a policy model for energy storage capacity optimizing based on a storage battery energy storage system, and then applying the improved particle swarm optimization to solve the functions. By the aid of the wind power station energy storage capacity control method based on the particle swarm optimization, the wind power which is output under effect of the energy storage system can be output smoothly at intervals, so that effective connection between the energy storage system and the existing dispatching operation manner can be realized, and the best economic benefit can be achieved simultaneously.

The invention relates to a method for acquiring the gas content of a shale reservoir through well logging data. The method comprises the following steps: I, selecting a shale gas well in a research region for coring, and measuring the porosity phicore, organic carbon content TOCcore, water saturation Sw-core, cementation index m, saturation index n, Langmuir volume VL, Langmuir pressure PL, formation grain density rhom and formation fluid density rhofl of an identical shale sample respectively; II, calculating the key parameter of the gas content of the shale reservoir through the well logging data; III, calculating the adsorption gas content and the free gas content respectively by using the key parameter, and representing the total gas content of the shale reservoir by using the sum of adsorption gas and free gas. The gas content of the shale reservoir is calculated through the well logging data, so that the well drilling coring cost is reduced, and the gassiness evaluation period of the reservoir is shortened. Meanwhile, the total amount of natural gas in the shale reservoir of the reservoir is calculated from the two phase states of adsorption gas and free gas respectively, so that the gassiness characteristic of the shale reservoir is met, and the calculation accuracy is higher.

The invention discloses a creeping speed control method for an electric vehicle. The method aims at solving the problems that in the prior art, the calculation of the creeping target torque of electric vehicles is inaccurate, by additionally arranging slope sensors or acceleration sensors, the costs are increased, and the robustness is reduced; meanwhile, a dynamic coordination control method forthe creeping torque of the electric vehicle is proposed to ensure better running smoothness when the vehicle switches between a creeping mode and other running modes. The dynamic coordination controlmethod for the creeping torque of the electric vehicle comprises the following steps of 1, determination of a working mode, wherein a vehicle control unit selects the target working mode according todriver's operation and the state of the vehicle; 2, calculation of the creeping target torque, wherein the creeping target torque is calculated by means of a 'feedforward reference torque + feedback compensation torque + parameter estimation feedback correction' method; 3, dynamic coordination control over the creeping torque, wherein slope limiting and filtering processing are conducted on the target creeping target torque obtained in the step 2, the requirement for the creeping torque after coordination is output to a motor controller to control the torque output of a motor, and therefore creeping running of the vehicle is achieved.

The invention discloses a cascade reservoir multi-objective optimization scheduling method based on an improved artificial bee colony algorithm. The method comprises the following steps that s11, the basic information data of a cascade reservoir system are acquired; s12, a multi-objective scheduling model including power generation, estuarine ecology and water supply is established according to the information of the reservoir system; and s13, the optimal scheduling scheme of the cascade reservoir system is solved by performing the improved artificial bee colony algorithm. Global optimization of the reservoir scheduling problem can be realized so that the calculation efficiency and accuracy can be enhanced, and a new approach can be provided for solving the multi-objective optimization scheduling problem of the cascade reservoir system.

The invention discloses a combination forecast modeling method of wind farm power by using gray correlation analysis, belonging to the technical field of wind power generation modeling. In particular, the invention is related to a weighted combination forecast method of wind power based on a least square support vector machine and an error back propagation neural network. The forecast method comprises that forecasted values of wind speed and wind direction are acquired in advance from meteorological departments while real-time output power is acquired from a wind farm data acquiring system; that the forecasted values of wind speed and wind direction and the real-time output power are inputted into a data processing module for data analyzing extraction and data normalization, and then normalized data is loaded to a database server; processed data in the database server is extracted by a combination forecast algorithm server to carry out model training and power forecast, and the wind farm sends running data to the data processing module in real time to realize rolling forecasting. The method of the invention achieves the goal of combination forecast of wind farm output in a short time. The method not only maximally utilizes advantages of two algorithms but also increases forecast efficiency by saving computing resources and shortening computing time.

The invention provides a neck-worn sensor (referred to herein as the ‘necklace’) that is a single, body-worn system that measures the following parameters from an ambulatory patient: heart rate, pulse rate, pulse oximetry, respiratory rate, temperature, thoracic fluid levels, stroke volume, cardiac output, and a parameter sensitive to blood pressure called pulse transit time. From stroke volume, a first algorithm employing a linear model can estimate the patient's pulse pressure. And from pulse pressure and pulse transit time, a second algorithm, also employing a linear algorithm, can estimate systolic blood pressure and diastolic blood pressure. Thus, the necklace can measure all five vital signs along with hemodynamic parameters. It also includes a motion-detecting accelerometer, from which it can determine motion-related parameters such as posture, degree of motion, activity level, respiratory-induced heaving of the chest, and falls.

The invention belongs to the field of artificial intelligence technology and particularly discloses an intelligent question-answering system for tax consultation service. The system comprises a terminal device where an Android operating system is installed and a computer; an application software program is installed in the terminal, wherein the application software comprises a voice conversion module and a question return module; a service software system is installed on the computer, wherein the service software system comprises a question understanding module and a question retrieval module; when the system operates, the voice conversion module converts voice data output by a user into text data, semantic understanding is performed through the question understanding module, the question retrieval module is used for retrieving answers, and a processing result is transmitted to the terminal user through the question return module. According to the system, voice recognition, text classification, similarity calculation and other technologies are used comprehensively to form a method for performing text similarity matching on an incomplete data set in the area of expertise, profound semantic analysis can be performed on questions raised by taxpayers, and meanwhile ceaseless accurate consultation service is provided for mass users to meet the actual requirement for tax consultation.

The invention relates to a multi-scale normal feature point cloud registering method. The multi-scale normal feature point cloud registering method is characterized by including the steps that two-visual-angle point clouds, including the target point clouds and the source point clouds, collected by a point cloud obtaining device are read in; the curvature of radius neighborhoods of three scales of points is calculated, and key points are extracted from the target point clouds and the source point clouds according to a target function; the normal vector angular deviation and the curvature of the key points in the radius neighborhoods of the different scales are calculated and serve as feature components, feature descriptors of the key points are formed, and a target point cloud key point feature vector set and a source point cloud key point feature vector set are accordingly obtained; according to the similarity level of the feature descriptors of the key points, the corresponding relations between the target point cloud key points and the source point cloud key points are preliminarily determined; the wrong corresponding relations are eliminated, and the accurate corresponding relations are obtained; the obtained accurate corresponding relations are simplified with the clustering method, and the evenly-distributed corresponding relations are obtained; singular value decomposition is carried out on the final corresponding relations to obtain a rigid body transformation matrix.

The invention discloses a method for reconstructing a three-dimensional scene of a single image, which comprises the following steps of: a image input step, inputting each frame of image in an image sequence; a feature extracting step, extracting features from a scene of a image, carrying out scene classification and object recognition based on the extracted features to acquire semantic information, and simultaneously extracting monocular geometrical information based on the extracted features to acquire the monocular geometrical information; an object detection step, carrying out an object detection based on the extracted features and with the scene classification as a reference; a three-dimensional graphic primitive model selection step, selecting a three-dimensional graphic primitive model according to a result of the object detection; and a scene three-dimensional model generation step, carrying out inference and verification on the scene three-dimensional model according to scene semantic prior, the three-dimensional graphic primitive model and the monocular geometrical information to generate a final scene three-dimensional model.

This system is a computer-based system for analyzing a blood flow at a target vascular site of a subject by means of a computer simulation, having a three-dimensional shape extraction unit, by a computer, for reading a captured image at the target vascular site and generating three-dimensional data representing a shape of a lumen of the target vascular site; a fluid dynamics analysis unit, by a computer, for determining state quantities (pressure and flow velocity) of blood flow at each position of the lumen of the target vascular site by means of computation by imposing boundary conditions relating to blood flow to the three-dimensional shape data; a blood flow characteristic determination unit for determining, from the state quantities of the blood flow determined by the fluid dynamics analysis unit, a wall shear stress vector at each position of the lumen wall surface of the target vascular site, determining relative relationship between a direction of the wall shear stress vector at a specific wall surface position and directions of wall shear stress vectors at wall surface positions surrounding the specific wall surface position, and from the morphology thereof, determining characteristics of the blood flow at the specific wall surface position and outputting the same as a determined result; and a display unit, by a computer, for displaying the determined result of the blood flow characteristic which is graphically superposed onto a three-dimensional shape model.

The invention discloses a method of single end distance measurement of power transmission line malfunction based on traveling wave inherent frequency extraction. The method comprises the following steps of: after extracting to analyze a principal component of the inherent frequency of a current traveling wave signal of the power transmission line malfunction, selecting a corresponding modulus and a failure type according to the principal component frequency and the malfunction type; obtaining a circuit characteristic impedance matrix, a reflection coefficient matrix, a reflection angle matrix and a modulus wave velocity under the principle component frequency; finally calculating out distance of the malfunction according to the traveling wave inherent frequency, the modulus wave velocity, and the reflection angle, and providing a distance measurement result of the power transmission line malfunction. The method can effectively extract the principal component frequency of the current traveling wave of the power transmission line malfunction, and has the accurate and reliable distance measurement result and convenient implementation without special requirements on equipment.

The invention provides a vehicle road load simulation method which comprises the following steps of: 1) complete vehicle modular modeling; 2) complete vehicle modular model validation; 3) complete vehicle model assembly; 4) complete vehicle model validation; 5) establishment of finite element models of enhanced durable roads; 6) model initialization; 7) obtaining of virtual road load result; and 8) comparative validation with physical road load. The invention has the advantages of shortening development time and reducing costs, which is of great significance to vehicle development during the conceptual design phase. During the conceptual design phase of new models, fatigue analysis can be carried out before the design and manufacture process by using a virtual prototype to predict road load so as to truly predict the life of the product, thus greatly reducing great expenses caused by producing prototype machines and testing the fatigue life.

The invention discloses a battery capacity correction method based on an improved ampere-hour integral method. The method comprises the following steps: enabling a battery pack to run in a vehicle-mounted way; calculating the state of charge (SOC) by the ampere-hour integral method; judging whether the electric quantity of batteries is too low or not; judging whether the minimum battery voltage V<min> is lower than the threshold voltage V<mdy> in a capacity correction mode or not; entering the capacity correction mode; carrying out capacity correction, and then quitting the capacity correction mode; charging the batteries, and calculating the SOC; judging whether the maximum voltage V<max> of the battery pack is higher than charge cut-off voltage V<h> or not; finishing charging, storing the battery capacity Q accumulated in the charging process, and replacing the previous battery capacity Q<n> by the battery capacity Q; modifying the current battery capacity value to be Q, and modifying the value of the SOC. According to the method, the SOC values of the batteries and the stored electric quantity values are corrected at the end of the battery charging process, so that the accurate initial value of the SOC can be obtained after every time of charging is finished; furthermore, at the end of discharge, the batteries can select to enter the battery capacity correction mode, so that the current capacities of the batteries can be corrected, and thus the calculation error caused by battery aging can be eliminated.

The invention relates to a method for identifying information of an image tag in the technical field of image processing. The method comprises the following steps of: building a template image library; performing Hessian characteristic point detection on a template image and an image to be identified respectively; performing SURF characteristic extraction and LBP characteristic extraction on each characteristic point in the template image and the image to be identified respectively; performing SURF characteristic matching on the image to be identified and the template image to acquire the template image successfully prematched; performing LBP characteristic matching on the image to be identified and the template image successfully prematched to acquire the template image successfully prematched for the second time; and weighting the template image successfully prematched for the second time, wherein the template image with the maximum weight value is the template image most matched with the image to be identified. The method can effectively identify the image tag with complex background, scale change, direction change and visual angle change, avoids large-scale machine learning and complex image preprocessing at the same time, and has the advantages of high calculation speed, high identification accuracy rate and wide application scenarios.