3308results about How to "Reduce precision" patented technology

Exploiting the substantive reciprocity of internode channel responses through dynamic, adaptive modification of receive and transmit weights, enables locally enabled global optimization of a multipoint, wireless electromagnetic communications network of communication nodes. Each diversity-channel-capable node uses computationally efficient exploitation of pilot tone data and diversity-adaptive signal processing of the weightings and the signal to further convey optimization and channel information which promote local and thereby network-global efficiency. The preferred embodiment performs complex digital signal manipulation that includes a linear combining and linear distribution of the transmit and receive weights, the generation of piloting signals containing origination and destination node information, as well as interference-avoiding pseudorandom delay timing, and both symbol and multitione encoding, to gain the benefit of substantive orthogonality at the physical level without requiring actual substantive orthogonality at the physical level.

Coreference resolution is the process of identifying when two noun phrases (NP) refer to the same entity. Two main contributions to computational coreference resolution are made. First, this work contributes a new method for recognizing when an NP is anaphoric. Second, traditional approaches to coreference resolution typically select the most appropriate antecedent by recognizing word similarity, proximity, and agreement in number, gender, and semantic class. This work contributes a new source of evidence that focuses on the roles that an anaphor and antecedent play in particular events or relationships. I show that using contextual role knowledge as part of the coreference resolution process increases the number of anaphors that can be resolved, and I demonstrate an unsupervised method for acquiring contextual role knowledge that does not require an annotated training corpus. A probabilistic model based on the Dempster-Shafer model of evidence is used to incorporate contextual role knowledge with traditional evidence sources.

An image recognition apparatus operates on data of a color image to obtain an edge image expressing the shapes of objects appearing in the color image, the apparatus including a section for expressing the color attributes of each pixel of the image as a color vector, in the form of a set of coordinates of an orthogonal color space, a section for applying predetermined arrays of numeric values as edge templates to derive for each pixel a number of edge vectors each corresponding to a specific edge direction, with each edge vector obtained as the difference between weighted vector sums of respective sets of color vectors of two sets of pixels which are disposed symmetrically opposing with respect to the corresponding edge direction, and a section for obtaining the maximum modulus of these edge vectors as a value of edge strength for the pixel which is being processed. By comparing the edge strength of a pixel with those of immediately adjacent pixels and with a predetermined threshold value, a decision can be reliably made for each pixel as to whether it is actually located on an edge and, if so, the direction of that edge.

A real-time visual detection and identification method for high speed rail surface defects comprises the following steps of: (1) image acquisition; (2) image preprocessing; (3) defect preliminary detection, that is, performing logic or operation combination of detection results based on gray scale compensation with detection results based on top-hat operation, and detecting whether an abnormal area exists in an image, if not, finishing the detection, or else continuing the processing; (4) defect accurate positioning, that is, accurately positioning the defect by an algorithm of bonding single defect, an algorithm of filling holes in the defect area, and an algorithm of selecting the main defect, and extracting the defect area through marks; (5) defect classification, that is, extracting and selecting characteristics of the defect area, designing and training a BP neural network, and classifying the defects by the BP neural network. The invention has the advantages of simple principle, high automation degree, high detection speed, and high detection precision.

The invention discloses a wax injection mold for investment casting of hollow turbine blades and a method for rapidly and accurately manufacturing the wax injection mold. The mold consists of a cavity mold, a mold core and an accessory structure, wherein the cavity mold comprises an upper mold and a lower mold of a combined structure; each mold block forming the cavity mold consists of an external aluminum mold frame, an internal cast zinc alloy inlay and a conformal cooling copper pipe embedded into the inlay; a mold core positioning piece which can be decomposed at a high temperature is arranged on a longitudinal rib of the mold core; and water-soluble core blocks used for forming exhaust openings in the rear edges of the turbine blades are arranged on rear edge ribs of the mold core. The matching precision of the mold core positioning piece and the cavity mold is guaranteed by adopting a cavity mold interior running-in method, and the matching precision of the water-soluble core blocks and the cavity mold is guaranteed by adopting a cavity mold interior adhesion method. The wax injection mold disclosed by the invention is low in manufacturing cost and short in period, and the high wax pattern precision and core positioning precision can be obtained.

A method for generating a digital orthophoto map (DOM) by an urban low altitude unmanned aerial vehicle comprises preparing control point data, cameral calibration correction files, and attitude data; performing aerotriangulation of image to generate an epipolar image; performing image matching to generate a digital surface model (DSM); constructing a triangular irregular network (TIN) based on urban building characteristics and performing digital elevation model (DEM) interpolation; performing digital differential rectification to generate a DOM; and performing urban low altitude DOM mosaicking which involves mosaic line selection, light and color homogenization and boundary cutting. The method of the invention can make full use of the high resolution advantage of urban low altitude image acquisition, and accurately generate DOM at high efficiency.

This disclosure relates generally to low power data decoding, and more particularly to low power iterative decoders for data encoded with a low-density parity check (LDPC) encoder. Systems and methods are disclosed in which a low-power syndrome check may be performed in the first iteration or part of the first iteration during the process of decoding a LDPC code in an LDPC decoder. Systems and methods are also disclosed in which a control over the precision of messages sent or received and/or a change in the scaling of these messages may be implemented in the LDPC decoder. The low-power techniques described herein may reduce power consumption without a substantial decrease in performance of the applications that make use of LDPC codes or the devices that make use of low-power LDPC decoders.

An apparatus is provided. The apparatus comprises: transceiver hardware that is capable of receiving data utilizing multiple simultaneously-received polarization diverse or spatial diverse channels and includes at least one receiver wireless element that is orthogonal frequency division multiplexing-capable and at least one transmitter wireless element; and circuitry capable of working in association with the transceiver hardware. In operation, the circuitry capable of causing the apparatus to: modulate transmit data; add a cyclic prefix to the transmit data; transmit at least one transmit signal including at least a portion of the transmit data to a node, where the apparatus includes a cellular mobile device and the node includes a cellular base station that is multiple-input-multiple-output capable; allow linkage between the cellular mobile device and the cellular base station utilizing a link; and based on a link quality of the link, allow linkage between the cellular mobile device and another cellular base station utilizing another link.

The invention discloses a packaging structure and a packaging method for a fingerprint recognition chip. The packaging structure comprises a substrate, a sensing chip, an upper cover layer and a plastic package layer. The sensing chip is coupled to the surface of the substrate and provided with a first surface and a second surface opposite to the first surface, the first surface of the sensing chip is provided with a sensing area, and the second surface of the sensing chip is located on the surface of the substrate. The upper cover layer is at least located on the surface of the sensing area of the sensing chip and is made of polymers. The plastic package layer is located on the surface of the substrate and the surface of the sensing chip, and the plastic package layer is exposed out of the upper cover layer. According to the packaging structure, the requirement for the sensitivity of the sensing chip is lowered, and application is wider.

Provided is a mobile cellular communication system or, more particularly, a transmission diversity communication system in which when the number of transmitting antennas is increased, antennas can be calibrated readily and efficiently with power saved without degradation of the characteristic concerning fading. The transmission diversity communication system is a closed-loop transmission diversity communication system. In the transmission diversity communication system, a base station transmits common pilot signals via a plurality of antennas, and a mobile station receives the common pilot signals. The mobile station transmits feedback signals, which are produced through analysis of the common pilot signals, to the base station. The base station controls a downward transmission signal on the basis of the pieces of feedback information. Herein, the plurality of antennas is divided into a plurality of groups. The common pilot signal is transmitted via a reference antenna included in each of the groups. The common pilot signal is alternately transmitted at a low frequency via the other antennas.

The invention discloses a workpiece stamping intelligent control process. The workpiece stamping intelligent control process controls automatically and satisfies all actions to be operated coherently to effectively improve working efficiency, no manual work is needed, safety is improved and cost is effectively saved. Product quality is guaranteed to enable products to meet market demands. The invention further provides an intelligent control manipulator implementing the process. Through an efficient, accurate, flexible, safe operation mode flexible in design, the intelligent control manipulator is convenient to operate, production efficiency is greatly improved, structural design is reasonable, design mode is flexible, effects are obvious, process persistence is high, raw materials are saved and energy consumption is quite low; a regulation and control type industrial control process satisfies different demands, the structural design enhances smoothness, swing precision is guaranteed, and machining process is guaranteed to be completed automatically, continuously and effectively; and conventional manual or semi-automatic machining modes are replaced, and resources are saved.

The invention relates to a 3D (three-dimensional) printing system structure. The 3D (three-dimensional) printing system structure comprises a lifting printing platform, a dual-screw dual-optical-axis Z-shaft driving mechanism, an X-shaft drive mechanism, a Y-shaft drive mechanism as well as a stationary object carrying platform, wherein the printing platform is provided with an X-shaft drive motor and a Y-shaft drive motor; the two motors are respectively connected to a pair of driven bearings by synchronous belts at two ends of the driving shaft; double slide shafts in the X direction and the Y direction are both provided with slide seats; two pairs of slide seats are respectively connected by an X cross beam and a Y cross beam, and the two cross beams respectively penetrate through a 3D printer head; a driving motor of the dual-screw dual-optical-axis driving mechanism and the driving shaft are connected by the synchronous belt; the position of the driving motor can be adjusted randomly. The X-shaft drive mechanism, the Y-shaft drive mechanism and the driving shaft operate individually, so that the motion modulation is reduced; the dual-screw dual-optical-axis driving mechanism has favorable stability, so that the printing platform is stressed in a balance manner; the driving in each direction is stable; the 3D printing precision is improved.

At a registration time, a feature data array for registration is generated from biometric information acquired by a client, and a position correction template and a comparison template obtained by converting the feature data array for registration are registered in a server.

At an authentication time, a feature data array for authentication is generated from biometric information acquired by the client, and converted feature data for position correction obtained by converting the feature data array for authentication is transmitted to the server. The server detects a position correction amount of the feature data array for authentication relative to the feature data array for registration using the position correction template and the converted feature data for position correction, and transmits the position correction amount to the client. The client corrects the feature data array for authentication using the position correction amount and transmits the converted feature data array for comparison to the server. The server calculates a distance between the comparison template and the converted feature data array for comparison and determines success or failure of the authentication on the basis of the distance.

The present invention discloses a troposphere atmosphere delay error correction method and correction system. The method comprises the steps of (1) obtaining GNSS observation data through a GNSS foundation reinforcement system network reference stations, (2) sending the GNSS observation data to a CORS server baseline solution system, wherein the step (2) concretely comprises the steps of (a) decomposing troposphere delay into a troposphere dry component and a troposphere wet component according to the GNSS observation data and (b) carrying out regional linear interpolation model processing on the troposphere wet component to obtain a wet component correction value, and using a troposphere prior model to carry out altitude component correction of the troposphere dry component to obtain a dry component correction value, (C) combining the wet component correction value and the dry component correction value to obtain a troposphere correction value total. According to the method, the improvement of troposphere delay error correction is facilitated.

The invention discloses a high-slew-rate error amplifier-based high-accuracy and high-speed low dropout (LDO) regulator circuit, which comprises an over-the-air (OTA) circuit, a second-stage push-pull output circuit, a Miller compensation and dynamic zero compensation circuit, a load current detection circuit, a super source-level follower, a dynamic offset pipe, a feedback network and an output and load circuit. By the LDO circuit, the problems of low gain, low accuracy, low power supply suppression ratio and low response speed of the conventional LDO are solved.

The invention relates to a method for calibrating a star sensor, which can effectively solve the problems of low calibrating speed, low efficiency and high hardware requirements of the star sensor. The method comprises the following steps of: calibrating internal parameters of the star sensor to obtain a coordinate of a mark point in a coordinate system of a photogrammetric system; carrying out image processing on a picture and calculating internal parameters of cameras; establishing a transit surveying coordinate system; carrying out measurement on a manual surveying mark of a calibrating field by using a transit surveying system to obtain a three-dimensional coordinate of the manual surveying mark in the coordinate system of the transit surveying system; carrying out common point conversion by utilizing a three-dimensional coordinate value to obtain a conversion relation of the coordinate system of the calibrating field and the coordinate system of the transit surveying system and converting the coordinate system of the transit surveying system and a cubic prism coordinate system into the coordinate system of the calibrating field; and taking a picture of the calibrating field again to obtain a relation of the two cameras and the cubic prism coordinate system. The method for calibrating the star sensor of the invention has the advantages of simple calibrating process, low required precision for the hardware, high calibrating precision and high speed, greatly improves the working efficiency and is an innovation on the calibration of the star sensor.

The invention discloses a high-adaptability three-dimensional measuring method based on color structured light in a three-dimensional scanning system. The method comprises the following steps of: coding according to the Gray coding principle by use of 6 pure colors; performing sinusoidal modulation of three components R, G and B at the same time to obtain a color grating for projection; designing an auxiliary grating according to the color grating; projecting the designed color grating and auxiliary grating to a measured object; performing superposition operation of the collected two grating deformation diagrams to obtain the reflectivity of each pixel; compensating the grating deformation diagrams according to the reflectivity of each pixel; performing color image division of the compensated grating deformation diagrams; decoding the divided image to obtain corresponding phase period information; graying the compensated grating deformation diagrams and obtaining the wrapped phase value of each pixel by Fourier transform; realizing phase unwrapping according to the decoded phase period information of each pixel; and finally, realizing three-dimensional reconstruction according to the corresponding relationship between the phase and the object height information.

The invention discloses a radar target attribute scattering center feature extraction method based on sparse decomposition. The radar target attribute scattering center feature extraction method based on the sparse decomposition mainly solves the problems in an existing method capable of segmenting an image to extract attribute scattering center based on the radar image that models are unmatched, features are easy to lose, and parameter estimation accuracy is low. The implementation process includes the following steps: building a scattering center intensity threshold by using noise samples, conducting an intensive scattering center test in the radar image and confirming a values set of a scattering center parameter, obtaining a target attribute scattering center parameter super-resolution estimation set according to attribute scattering center models by using coordinate repeated decline technology to build a super-resolution dictionary through solving the problem of 0 norm optimization, and extracting geometric dimensioning features of the target and important components of the target according to the scattering center parameter set. The radar target attribute scattering center feature extraction method based on the sparse decomposition is capable of effectively extracting the target attribute scattering center and the super-resolution scattering center parameter, accurately estimating the geometric dimensioning features of the target and the important components of the target, and can be used for radar target classification and identification.

The invention discloses a detection method of an abnormal event of multi-variable water quality parameter time sequence data. The detection method comprises the following steps: firstly, inputting a plurality of water quality parameter models; training and constructing a data driven predication model (BP model); analyzing multi-variable water quality time sequence data in a water supply pipe net and estimating the model; secondly, predicating through the BP model to obtain a predicated value of water quality data; comparing an actually measured value of a current state and the predicated value obtained by the predication model and carrying out error estimation and classification analysis, so as to determine a single-variable parameter abnormal event; classifying based on an error counting result, and updating and determining the event probability of single-variable water quality parameters through sequential Bayesian updating; carrying out multi-variable fusion decision-making and fusing information from a plurality of water quality monitoring indexes; providing a unified decision-making result and determining whether the water supply pipe net has the abnormal event on a specific node or not.