123results about How to "Improve timing performance" patented technology

The invention provides an intelligent vehicle local path planning method in a structured environment. The method comprises the following steps of positioning and map loading, obstacle information processing, coordinate system conversion and analysis, decision and replanning method, speed planning and local planning updating. Firstly, a corresponding local reference path is loaded by using a high-precision map and self-vehicle positioning information, then obstacle information is detected, coordinate system conversion is performed on the local reference path and the obstacle information, whether replanning is required is judged, and a local optimal path is obtained through a decision and replanning method. And finally, safe and stable driving is realized through speed planning and updatingof a local planning result. According to the invention, path planning, lane changing decision and speed planning are integrated, and the time performance of the intelligent vehicle local path planningmethod in the structured environment can be improved while the unmanned driving safety is guaranteed.

An apparatus and method for providing a power scanning in a terminal with two or more Radio Frequency (RF) chips are provided. The method includes selecting one RF chip from the two or more RF chips, performing the power scanning on a full band supported by the selected RF chip by using the selected RF chip, gathering a power scanning result obtained by performing the power scanning, and sharing the power scanning result gathered by using the selected RF chip with an unselected RF chip.

The invention discloses an HBase (hadoop database) data usability and durability method based on remote log backup. The method is characterized in that when a data node of the HBase is written, the log record is first encapsulated through a distributive system, the log is backed up to a preliminarily-designated remote node through a network, the usability and durability of the data can be guaranteed, on the basis of the data, a great amount of user data and log record are temporarily stored in a memory, and the data persisting process in the data processing process is reduced; when the data node of the HBase is idle, the data in the memory is persisted to a file system, the storage pressure of the memory can be alleviated, the frequency of the persistence process in the writing process can be reduced, and the data writing time performance can be improved. By adopting the method, the usability and durability of the data can be guaranteed, the data writing speed can be greatly increased, and the system performance is improved.

A cochlear implant processing strategy increases speech clarity and provides higher temporal performance. The strategy determines the power spectral component within each channel, and dynamically selects or de-selects the channels through which a stimulation pulse is provided as a function of whether the spectral power of the channel is high or low. “High” and “low” are estimated relative to a selected spectral power, for example. The selected spectral power can be estimated by signal average or mean, or by other criteria. Once a selection of the channels to stimulate has been made, the system can decide that only those channels are stimulated, and stimulation is removed from the other channels. The selected channels are the ones on which the spectral power is above the mean of all the available channels. Fewer channels are stimulated at any time and the contrast of the stimulation is enhanced. Also, the temporal resolution increases as the number of channels that must be stimulated on a given frame decreases. This way, the channels which are presented to the patient are fewer in number and contain more temporal information.

The invention relates to a photoelectric converter, a detector and scanning equipment. The photoelectric converter comprises a silicon photomultiplier array and a light guide coupled with the silicon photomultiplier array, wherein the silicon photomultiplier array comprises i*j silicon photomultipliers spliced on a horizontal plane, and the i and the j are both integers greater than or equal to 2. The detector comprises a scintillation crystal, an electronic system, a light guide and silicon photomultipliers. The scanning equipment comprises a detection device and a frame, wherein the detection device comprises the detector, and the detector comprises the photoelectric converter. According to the photoelectric converter, the detector and the scanning equipment, a photoelectric conversion scheme of the photoelectric silicon photomultipliers is mainly employed, the silicon photomultipliers have small volumes and are closely arranged, the silicon photomultipliers in proper dimensions and in proper quantity are matched with the light guide in proper shape, a PET detector with high spatial resolution can be established, so the spatial resolution of the whole PET system can be improved, the PET detector having DOI and TOF performances is proper to establish, application to PET / MRI can be realized, and low cost is further realized.

The invention belongs to the technical field of image processing and particularly relates to a texture mapping method based on triangular mesh simplification. The texture mapping method comprises the following steps: simplifying a triangular network model and establishing a spring-mass-point model; parameterizing the spring-mass-point model to a final position of a rectangular region; by utilizing a process of simplifying the triangular network model, calculating an initial position of a deleted point in the parameterized rectangular region to obtain positions of all vertexes of an initial model in the parameterized rectangular region; parameterizing the initial model to establish the spring-mass-point model; fixing the boundary vertex and triggering inner point iteration until the position of an inner point is balanced to obtain a spring-mass-point model revised parameterized coordinate; and carrying out normalization processing to obtain a texture coordinate of a grid vertex, and carrying out texture mapping. According to the method, the texture coordinate of each triangular network grid vertex does not need to be solved and texture mapping can be directly carried out; the time complexity of the method can be reduced to the great extent and the time performance is improved.

An embodiment of the invention discloses a data transmission method based on multiple channels, related nodes and a system. The data transmission method based on multiple channels includes: leading receiving nodes to synchronously receive data frames from transmitting nodes from at least two channels; comparing whether data of at least two received data frames are identical; performing cyclic redundancy check (CRC) verification on the data frames identical in data if the data frames identical in data exist; performing CRC verification on all the data frames presently performed with the comparison if the data frames identical in data do not exist; transmitting a data frame verified to be correct by the CRC to a first input first output (FIFO) if the data frames verified to be correct exist; and sending confirmation information indicating the data frames to be correctly received to the transmitting nodes. The technical scheme of the data transmission method, the related nodes and the system can effectively improve stability of a communication system.

A multi-spectral camera comprises a blocking element (201) having at least one hole (203) allowing light through. A dispersive element (205) spreads light from the at least one hole (203) in different wavelength dependent directions and a lens (207) focuses light from the dispersive element (205) on an image plane (209). A microlens array (211) receives light from the lens (207) and an image sensor (213) receives the light from the microlens array (211) and generates a pixel value signal which comprises incident light values for the pixels of the image sensor (213). A processor then generates a multi-spectral image from the pixel value signal. The approach may allow a single instantaneous sensor measurement to provide a multi-spectral image comprising at least one spatial dimension and one spectral dimension. The multi-spectral image may be generated by post-processing of the sensor output and no physical filtering or moving parts are necessary.

The invention concerns a method for reducing the costs of a satellite remote sensing service. The method comprises providing a satellite remote sensing system that includes only one satellite equipped with a sensor configured to acquire images of areas of the earth's surface, the satellite remote sensing system being designed to provide a satellite remote sensing service based on the images acquired by the sensor on board the satellite. In particular, the satellite follows a predefined orbit around the earth with an orbit repeat cycle shorter than three days, whereby a satellite remote sensing service with very good time performance, excellent interferometric capabilities and with drastically reduced costs is obtained.

The invention relates to a remote sensing image multi-objective association method. At first, multi-scale auto-convolution (MSA) characteristics of a target image are extracted according to MSA conversion, and a matching cost of any two targets is obtained through calculation of Euclidean distance among the target characteristics, namely similarity measurement is obtained. Multi-objective association in two remote sensing images is considered as two-dimensional distribution, a multi-objective association cost matrix (ACM) is constructed, then practical application is combined, and an objective function is constructed according to the maxim of relevance, namely a global optimization model is constructed. At last, a simulated annealing algorithm is improved, inner loop iterations and outer loop iterations are set, a new self-adaptive temperature updating function is designed, a temperature control mode is improved, and therefore time performance of the algorithm is improved on the basis that association accuracy is guaranteed.

The embodiment of the invention discloses a segmentation method of a medical ultrasonic image three-dimensional target object, which is invented for solving the problems of low segmentation precision or nonideal time performance or low automation degree in the prior art. The segmentation method comprises that initial scattered medical ultrasonic image data including the medical ultrasonic image three-dimensional target object is restructured and a regular data set is obtained and segmented on the basis of a contour line. The concepts of keyframe and middle frame are led into the segmentation based on the contour line. A topological self-adaption deformation model and an interpolation based on shape are applied. The contour of the medical ultrasonic image three-dimensional target object can be obtained quickly and accurately. The invention is applicable to not only the segmentation of the medical ultrasonic image three-dimensional target object but also the segmentation of CT, MRI and other medical image order three-dimensional target objects.

The invention discloses an embedded dual-core flight control software architecture method based on high-speed Linkport port. The method comprises the following steps: step one, dual-core flight control software task partitioning; step two, flight control software dual-core communication mechanism designing; step three, a flight control software dual-core data sharing mechanism; and step four, flight control software dual-core reliability designing. Flight control software architecture designing is carried out according to the method in a dual-core hardware condition, so that the single-core usage rate can be obviously reduced, the dual-core CPU occupancy rate trends to be average, and the program obtains higher time performance.

The invention belongs to the technical field of electronics, in particular to a general packing method for an FPGA (field programmable gate array) configurable logical block (CLB). The method comprises the following steps: configuring and describing chips of the FPGA CLB as a series of directed simple graphs for constraining a satisfaction problem picture matching method; and then identifying a logical function sub-circuit supported by the chip from a user circuit by using the constraint satisfaction problem picture matching method, and packing. According to the invention, only if a library file which describes a target FPGA logical function circuit is pre-defined, the FPGA chips of different structures, such as various functional configurations of a quick carry chain, a distribution type memory, a shift register, an LUT5 (local user terminal 5), an LUT6 (local user terminal 6) and the like can be packed, thereby effectively improving the utilization rate of the logical resources of the chips, and improving the time sequence performance of the circuit. According to the invention, the circuit is optimized according to the appointed requirements, and the mapping of various modularized circuits is realized, thus the method has significant application in system architecture designs and reconfigurable systems.

Provided is a K-means clustering method based on a quotient space theory. The method comprises the steps that firstly, a cluster number K and a data set X are input, then the data set is clustered, and finally a clustering result is output. The method has the good clustering result on class clusters in any shape and noise points, the clustering effect is far better than that of a K-means algorithm, the time performance of the method is far better than that of an MSCA algorithm, the time performance and the clustering effect are combined, and the overall effect is best.

The invention discloses a channel estimation-based timing synchronization method for an orthogonal frequency division multiplexing (OFDM) system, belongs to the technical field of communication, and mainly solves the problems that a timing error exists in the system when a first path of a multi-path fading channel is not the strongest path, and the existing fine synchronization algorithm is large in leak detection probability. By adopting the method, channel impulse response is determined in fine synchronization by adopting the least squares algorithm on the basis of locating coarse synchronization on the path with the strongest energy, the position of each path is judged by energy change inside a sliding window on the basis of ring shift right characteristic, and the first path is detected by adopting the minimal value or a self-adapting threshold method. By adopting the method, the leak detection probability of accurate symbol synchronization can be reduced, and the timing property of the system is effectively improved.

The invention provides a precision timing unifying method for a Beidou navigation satellite based on a phase observation value. A Beidou single-station non-differential precision timing model based on a phase observation value is established; a Beidou multi-station non-differential precision timing model based on a phase observation value is established; a Beidou navigation satellite single-station and multi-station non-differential precision timing unifying method based on a phase observation value is realized, and unification of satellite non-differential precision timing data processing methods is realized. The method can realize seamless connection of single-station and multi-station non-differential precision timing, improves the timing stability and continuity, and greatly improves the timing precision based on the high-precision phase observation value.

The invention provides an action recognition method for a high-time-sequence 3D neural network based on cavity convolution, and the method comprises the steps: firstly carrying out the improvement ofa three-dimensional Inception-V1 neural network model, and obtaining an improved three-dimensional Inception-V1 neural network model; dividing the public data set into a training set and a test set, and training and testing the improved three-dimensional Inception-V1 neural network model to obtain a trained high-precision three-dimensional Inception-V1 neural network model; and finally, using thetrained high-precision three-dimensional Inception-V1 neural network model to identify the action of the actual video. The method has the beneficial effects that according to the technical scheme provided by the invention, a new non-local feature gate algorithm is introduced to redefine the channel weight of the three-dimensional Inception-V1 neural network model while the high timing sequence iskept, so that the model accuracy is improved.

The invention discloses a multichannel time service fitting method based on the BeiDou satellite. The method comprises the following steps: (1) a satellite message integrity monitoring unit is used to perform satellite message integrity judgment according to the single-channel message information replay characteristic and the time information comparison result among multiple channels to reject abnormal message information; (2) the fault-tolerance process is performed on a satellite time scale signal in a satellite time scale fault-tolerance process unit; and the correction process is performed on satellite time delay information in a satellite time delay fitting correction unit; (3) the processed satellite time scale signal and the processed satellite time delay information are sent to a local clock correction fusion unit, wherein the local clock correction fusion unit is used to perform fusion process on local clock correction of all channels to make the local time scale and the satellite system time scale synchronous so as to acquire the satellite time service signal. According to the invention, integrity and fusion processes are performed on the satellite message, the satellite time scale data, the satellite time delay correction information and the local clock correction through an original fusion processing method, so the stability and accuracy of the multichannel time service receiver time service performance can be effectively improved, and the receiver time service performance can be improved.

The invention discloses an emotion analysis method based on a word vector and a part of speech, which comprises the following steps: obtaining an original micro-blog corpus and matching the Chinese corpus information in the original micro-blog corpus with the corpus label information; removing special symbols that do not contribute positively to or interfere with emotional analysis; processing thepre-processed text according to the part of speech of the word to form the original feature set; calculating the TF-IDF value of words in microblogging data, and then, according to the TF-IDF value,extracting feature words; calculating the TF-IDF value of the works to make each piece of data in the dictionary be composed of a word and its corresponding word vector; combining feature words with word vector dictionary to form feature words and word vector dictionary; calculating the vector of microblog data in each article, and finally getting the vector of all microblog data; according to thetraining data, establishing respective micro-blog data emotion classification models for emotion analysis.

The invention discloses an image enhancement and binaryzation method for a photoprint file. The image enhancement and binaryzation method for the photoprint file comprises the following steps of step one, graying input color images and obtaining graying images; step two, obtaining edge gradient of a regional image block which is corresponding to every pixel point through Sobel horizontal and vertical operator; step three, performing weight fusion improvement and LC regional enhancement and obtaining a weight fusion regional contrast value for every pixel point; step four, enabling the weight fusion regional contrast value for every pixel point to serve as a pixel value of the corresponding pixel point to obtain enhancement images of the input images. According to the image enhancement and binaryzation method for the photoprint file, the existing LC algorithm is performed on weight fusion improvement by improving the existing regional enhancement algorithm, the provided image enhancement algorithm is prior in effect compared with the existing file image enhancement and binaryzation method, has a good time performance and further improves the image preprocessing speed, and compared with the prior art, the image enhancement and binaryzation method is simple in parameter adjustment and the achievement process is simple and easy to operate.

The embodiment of the invention discloses a text clustering method, device and equipment based on density and a storage medium, and relates to the technical field of text data analysis. The method comprises the steps of receiving a target data set; determining a target distance formula; generating a distance matrix about the whole target data set; calculating the local density of each data point;separately extracting the minimum value of the distance between each data point and each data point in the sample point set, and recording the minimum value as the minimum point distance; establishinga clustering decision diagram according to the local density and the minimum point distance; determining the number of class clusters and a class cluster center in the clustering decision diagram; and dividing each data point into class clusters of the clustering decision diagram. According to the method, in the whole clustering process, the non-spherical data can be clustered only by calculatingthe distance between the sample points once without iterative calculation, the algorithm performance is greatly improved, the clustering decision diagram is used for scientifically selecting the number of the class clusters, and the situation that the number of the class clusters is manually set without basis is avoided.

The invention discloses a duplication elimination method based on search results of a metasearch engine. The duplication elimination method based on the search results of the metasearch engine is provided to solve the problems that in the prior art, duplication elimination cannot be carried out on the same web pages of URLs with different formats and redirected web pages, and sentences and articles cannot be represented fully according to information around punctuation marks, positions of the punctuation marks and fuzzy matching of word frequencies. The method comprises following steps such as 1, judging whether there are duplicated web pages or not according to URL addresses; 2, computing the title similarity of the two web pages and the abstract similarity of the two web pages; 3, computing the similarity of the web pages according to the title similarity and the abstract similarity; and 4, determining that the two web pages are duplicated if a similarity value Sim (A, B) is more than a threshold. The method can be applied to the field of duplication elimination based on the search results of the metasearch engine.

The invention discloses a network flow multi-step prediction method based on VMD and LSTM. The method comprises the following steps: generating a training sample; processing the training sample by using VMD to obtain eight modal components; carrying out multi-step prediction model modeling on the modal components by using LSTM, and carrying out network structure optimization by using BN to obtainprediction models of eight modal components and eight new sequences containing features at the next moment; carrying out variational mode decomposition reduction processing on the eight new sequencescontaining the characteristics of the next few moments to obtain a network flow time sequence prediction result containing the next few moments; judging whether the multi-step prediction result of thenetwork flow time sequence meets the accuracy requirement or not; if the LSTM prediction model does not meet the requirements, obtaining a new training sample, performing supplementary training on the LSTM prediction model by using the new training sample, and updating the LSTM prediction model. According to the invention, the defects of accuracy and time performance of a current network flow multi-step prediction model can be improved.

The invention discloses a digital image analysis method based on fractal dimension. The method is characterized by comprising the following steps: extracting all color attribute information included in a digital image through an image information matrix U; calculating the distance between pixel points by use of the image information matrix U; performing increment judgment on elements in the image information matrix U; selecting an increment manifold algorithm or non-increment manifold algorithm according to the increment judgment result to obtain a low-dimensional pixel point space of the image information matrix U; calculating the distance between any two pixel points in the low-dimensional pixel point space by use of the low-dimensional pixel point space; and calculating the fractal dimension of the digital image by use of the obtained distance between the pixel points so as to realize classification of different digital images. The method disclosed by the invention can effectively obtain the fractal dimension from the image to be processed, ensures relatively least fitting error, and realizes good classification ability on the digital image.

The invention discloses a positron annihilation lifetime spectrometer based on a silicon photomultiplier (SiPM), and the lifetime spectrometer comprises a SiPM detector module, an analog signal processing module, a timing and discrimination circuit module, a digital acquisition circuit module, a matching unit and a low voltage power supply module, wherein the SiPM detector receives gamma photons and generates scintillation light, which is converted into a photoelectric signal by the SiPM; the photoelectric signal is processed into a pulse signal through further amplification, noise reduction and the like by the analog signal processing module; the pulse signal is timed and discriminated by the timing and discrimination circuit module to obtain position information, energy information and time information of the gamma photons; the information is acquired by the digital acquisition circuit module and filtered by the matching unit to a meeting event; and all the modules are powered by thelow voltage power supply module. The positron annihilation lifetime spectrometer can improve measurement accuracy, reduce measurement time, greatly reduce cost, reduce power supply requirements and simplify the spectrometer structure.

The invention discloses a reconstruction method based on point-line feature rapid fusion. The method comprises the following steps of intercepting a video as an image, and performing preprocessing, such as focal length extraction, downsampling, etc., to reduce the reconstruction complexity; carrying out the point feature matching, carrying out the point feature extraction and matching by adoptingscale invariant feature transformation; matching the line features quickly from coarse to fine, using the line segment segmentation detector features for extracting and describing the line features, and obtaining an image line segment feature matching pair through the four steps of violent matching, motion estimation, Hamming distance threshold judgment and length screening on the line segment descriptors; carrying out the point-line feature fusion, converting a final line segment feature matching pair into the pixel points, analyzing the pixel points and the pixel coordinate positions of theexisting point features, deleting the repeated points, and then fusing the line segment pixel points and the point features; calculating a camera outer posture and a three-dimensional point cloud, calculating a substantive matrix by using a final image point-line feature matching pair, solving the camera outer posture, solving the three-dimensional point cloud in a triangularization manner, and optimizing a result by using a beam adjustment method.

The invention discloses a data out-of-order arrival processing method and system. The method comprises the following steps of extracting a current time window field, and processing the time window field into date type data; judging whether user stream data has a specified time window field or not, and performing corresponding processing; marking a time window field where a time slicing field is located, and extracting a data set before the time window field from a Redis storage library; judging whether time slicing data of the marked time window field is in the extracted data set or not, and performing corresponding processing; and storing the user stream data in the Redis storage library, and updating the Redis storage library. The system comprises a data processing module, a first judgment module, a marking module, a second judgment module and a Redis storage library module. According to the method and the system, the problem of out-of-order arrival of real-time stream data is solved; the method and the system are especially suitable for solving the problem of a non-serialization scene of a data source; and the validity and time sequence of the data are improved.

The invention provides a multi-mode pattern matching method based on structure correlation against the multi-mode pattern matching problem. The redundant calculation problem can be solved. On the premise of adding a small amount of extra space based on the structure correlation of mode patterns, the overall performance of the pattern mode matching is improved. According to the method, a structureinheritance relationship between mode patterns is established mainly through structure correlation between the mode patterns, the originally mutually independent mode patterns are expressed as an integral data structure, and the data structure retains non-repeating parts which all the mode patterns need to be matched with. The mode pattern matching sequence is planned again, so that when the matching is performed in a data map, multi-time matching with the structurally repeated parts in the mode patterns can be avoided, so that the pattern mode matching time performance is greatly improved, and the goal of speeding up the calculation is achieved.

The invention relates to an inquiry management method and an inquiry management system for a pure XML database, and belongs to the technical field of inquiry management of the pure XML database of a computer. The inquiry management system for the pure XML database comprises a data file management module and an inquiry operation module, wherein the data file management module is used for processing data and recording and storing the XML data into various slots of web pages; each web page has a unique page number and each slot in the web page has a unique slot number; the 'page number' and the 'slot number' are used for uniquely positioning the position of a record; web pages for storing the same XML file data are connected with each other to form a doubly linked list by pointers of page heads; a node storage structure comprises a code domain which is used to be endowed with a code value by a relation analytic unit; and the inquiry operation module is used for realizing inquiry operation and executing structure linkage operation, and comprises the relation analytic unit and a structure linkage unit. The inquiry management method and the inquiry management system have high time performance, can greatly improve the inquiry efficiency, and are convenient for realization and application.

Method to optimize net lists used in the design and fabrication of integrated circuits by using simultaneous placement optimization, logic function optimization and net buffering algorithms. Method simultaneously obtains a placement of logic functions, mapping of logic functions on to library elements and buffering of nets connecting the logic functions.