30 results about "Range searching" patented technology

The invention relates to the field of binocular stereo vision, and discloses a binocular stereo matching method and system based on multi-scale iterative optimization and related equipment. The method comprises the steps of performing semantic structure feature extraction on a corrected left view and a corrected right view through a feature extraction network; determining a cost space pyramid and a probability matrix according to the left view feature map and the right view feature map output by the feature extraction network; extracting a multi-scale context feature of the left view through a context sensing network, and initializing the multi-scale context feature to obtain a hidden state and input of a recursive network; during recursive network iteration, according to the probability matrix, a multi-range search strategy is adopted to index local cost from the cost space pyramid; and inputting the local cost into the recursive network, combining the hidden state obtained by the context features and the input, and carrying out iterative updating on the parallax value to obtain a parallax map, thereby improving the accuracy of parallax calculation.

To support efficient derivation of an optimum facility capacity.SOLUTION: The information processor 10A includes a processing unit 20. The facility-capacity optimizing unit 20A of the processing unit 20 searches for the provisional facility capacities of the supplying facilities 32 in descending order of priority from a narrower search range as the priority becomes lower, based on the priority of the supplying facilities 32 that are included in the energy system 30 and supply energy, the input search range of the facility capacities, the number of searches, and the target energy introduction ratio of the energy system 30. The simulation execution unit 20B of the processing unit 20 derives the introduction cost of the supply facility 32 having the searched temporary facility volume and the energy introduction ratio of the energy system 30 including the supply facility 32 having the temporary facility volume every time the temporary facility volume is searched. The processing unit 20 repeatedly executes the search for the provisional facility capacity and the derivation of the introduction cost and the energy introduction rate every time the target energy introduction rate is changed.SELECTED DRAWING: Figure 1

The application relates to a focusing method and device, a computer device and a storage medium. The method comprises the following steps: obtaining an estimated object distance of a target object; obtaining a corresponding focus value curve based on the estimated object distance, and determining a plurality of first focusing positions based on a peak point of the focus value curve; obtaining a corresponding farthest object distance curve and a nearest object distance curve based on the estimated object distance, and determining a focusing range based on a real-time zoom ratio, the farthest object distance curve and the nearest object distance curve; searching for a second focusing position based on the plurality of first focusing positions and the focusing range, wherein a focus value of the second focusing position for imaging the target object satisfies a preset condition. Through the application, the technical problem of low focusing efficiency in the related art is solved, the search process is shortened, the computing resource overhead is reduced, and the focusing efficiency is improved.

This invention provides a digital measurement method and system for aircraft skin depression areas based on point cloud scanning, relating to the field of parts inspection technology. The method includes: acquiring point clouds of the skin surface; locating feature regions based on local curvature; extracting and fitting feature contour lines using projection and envelope methods; selecting measurement points on the contour lines; determining the search range on the opposite side; searching and calculating the shortest geodesic length between the two contour lines; establishing a cross-section at the geodesic endpoint and projecting the local point cloud; fitting a linear segment and determining the theoretical contour points based on a deviation threshold; calculating the projection compensation distance; and obtaining the final size of the depression area by combining the geodesic length. The advantages are: acquiring point clouds through 3D scanning eliminates the need for dedicated molds, reducing costs and improving inspection accuracy and efficiency; the feature extraction method based on local curvature perception accurately extracts the required feature contour lines; and the use of the shortest geodesic and projection distance compensation effectively reduces contour recognition errors, achieving accurate measurement of the depression area.

The invention discloses an aircraft maintenance task allocation and scheduling method based on a cutting strategy and time constraint, and relates to the technical field of aviation maintenance management and operation planning optimization. The method comprises the following steps: determining a maintenance opportunity that each airplane stays on the ground and meets a maintenance resource condition according to a known flight timetable; according to the technical scheme, a mathematical heuristic solving algorithm is designed, a hybrid algorithm combining a constructive heuristic algorithm and an accurate solving technology is developed, an infeasible solution is dynamically repaired through two core processes of resource monitoring and airworthiness monitoring, and an approximate optimal solution is quickly found in a large-range search space; a maintenance task is decomposed into feasible parts through a cutting strategy to adapt to a limited time box, and the problem of infeasibility caused by resource conflicts is solved; and meanwhile, solving is performed through a mathematical heuristic algorithm, so that the total cost including direct maintenance cost and extra waste cost caused by advanced maintenance is minimized while the calculation efficiency is ensured.

A method in a data processing system and apparatus for organizing electronic data, structured or unstructured, with associated metalabels, on a recordable medium of a data processing system. The data items are structured in a heterogeneous metalabel search structure. Searching the plurality of metalabel search structures can then be done with a heterogenous-range query including at least one term and one range query. The query can also be specified in a natural language which is converted to the specific heterogenous-range query. Also provided is a method for searching using geometric shapes that are mapped into range-string queries where the ranges are d-dimensional hyper-rectangles or cubes that cover the geometric shape. A method to aid the selection of the appropriate shape is provided as well as a method to cost-efficiently select the hyper-rectangles and cubes to cover the shape.

This application relates to a method and apparatus for re-acquiring a lost-lock signal based on a short-time burst synchronization signal. The method includes: designing a short-time burst synchronization signal based on a short-time burst system; reading a certain length of baseband received signal from the starting position of the short-time burst synchronization signal and generating a corresponding local modulation sequence; calculating a carrier signal; performing coherent integration on the carrier signal to obtain the amplitude; determining whether the carrier Doppler frequency range search is complete; if not, recalculating the amplitude according to the Doppler search step; if complete, determining whether the phase search in the time domain is complete; if not, shifting the starting position forward by a certain distance and calculating a new amplitude; if complete, finding the maximum amplitude; and determining whether the maximum amplitude of the acquisition search is greater than a preset threshold; if greater, the signal is considered successfully acquired; otherwise, the signal is considered not acquired. This method can improve the success rate of acquisition.

The invention relates to a fault interval positioning method and system based on distribution network fault characteristics and instantaneous power characteristics, and the method comprises the steps: extracting fault signals in feedback signals in response to the obtained feedback signals of a monitoring node of a distribution network, and the number of the feedback signals is multiple; positioning the fault signal and determining a fault position range according to a positioning result; the method comprises the following steps: analyzing the direction of instantaneous power in a fault signal, positioning in a fault position range according to the direction of the instantaneous power, determining a fault position point, and normalizing the instantaneous power in the fault signal according to the value of the instantaneous power when positioning in the fault position range according to the direction of the instantaneous power. According to the fault interval positioning method and system based on the distribution network fault characteristics and the instantaneous power characteristics, range searching is carried out in a mode of signal extraction and direction determination, and the fault can be quickly positioned in the mode.

The present application relates to the technical field of sharing management. The present application relates to a sharing resource management terminal service platform based on the Internet of Things. It comprises a user connection unit, a range searching unit, a vehicle connection unit, a vehicle management unit, a management background unit and a sharing resource management terminal management unit; the user connection unit opens the operation authority of the sharing resource management terminal to the user with accurate information; the range searching unit detects the shaking of the vehicle, and when the shaking is detected, the shaking vehicle and the nearby vehicle are synchronously started to search the equipment, and the sharing resource management terminal to be matched within the effective range of the shaking vehicle is screened; through the collaborative design of the range searching unit and the vehicle connection unit, the present application optimizes the equipment matching logic; when the shaking of the vehicle is detected, the distance threshold screening and the real-time position tracking dynamically update the list of the equipment to be matched, so as to ensure the effectiveness of the candidate equipment; this dynamic screening combined with the priority matching mechanism reduces the probability of invalid matching.

The application discloses a DEM sunshine duration method and system based on GPU and terrain entropy optimization, and belongs to the field of geographic information science and spatial computing technology. The method firstly calculates terrain information entropy by using digital elevation model data to quantize the terrain complexity of different regions; and then dynamically adjusts the solar visibility range search radius and search step length by taking the terrain information entropy as an adaptive driving factor, so that the terrain shielding relationship is finely simulated in the mountainous or complex terrain area while the unobstruction is quickly determined in the flat terrain area. In addition, the application is realized by using a CUDA parallel architecture, and the GPU parallel strategy of block partitioning is combined, so that the calculation load of high-resolution data is effectively reduced, and the overall operation efficiency and memory utilization are improved.

The invention belongs to the technical field of scene matching, and particularly relates to a rapid scene matching method for a large-range search area, which greatly improves the scene matching speed during large-range search and solves the problem of high time consumption in initial positioning of current scene matching. According to the method, a four-dimensional descriptor is firstly designed, so that the robustness of a back-end matching strategy can be greatly improved; furthermore, on the basis of the multi-dimensional reference descriptor and the multi-dimensional real-time descriptor, a convolution coarse matching and fine matching strategy is designed, firstly, the multi-dimensional reference descriptor is segmented to perform software acceleration, coarse matching is performed on the obtained nine regions by using convolution, and fine matching is performed on the obtained nine regions; cutting an image with the same size as the real-time image on the original reference image according to the matching position for accurate matching, and finally designing a matching judgment rule to judge a matching result. According to the method, a mode of combining segmentation rough matching and fine matching is adopted for a large-range search region, so that the matching speed of the large-range region is greatly improved.

The invention belongs to the technical field of ocean information analysis, and particularly relates to a sound velocity estimation method for a high-resolution three-dimensional sound field in an ocean search and rescue area and application. Gridding an established search and rescue area, and filling corresponding grids with surface layer temperature and salinity data; according to profile values of temperature, salinity and depth of a search and rescue area, calculating surface sound velocity and re-sampling the surface sound velocity into the constructed grid; similarly, re-sampling the existing sound velocity data on each depth layer in the vertical direction to the nearest grid point; constructing a vertical-space joint feature data set; designing and training a neural network model, and performing lower-layer sound velocity data missing value reconstruction by using complete vertical structure information from a surface layer to an upper layer of a target layer; and when the next layer of data is reconstructed, the newly constructed layer is used as new upper layer data. According to the invention, high-resolution three-dimensional numerical value stratified rapid estimation is carried out on the sound field of the established ocean search and rescue area, high-precision data support is provided for search and rescue decision, and the method is suitable for large-range search and rescue sea areas.

The application provides a boundary layer height inversion method based on a dynamic height threshold, and relates to the technical field of boundary layer height inversion. The method comprises the following steps: acquiring a laser radar signal and preprocessing; identifying a cloud layer height according to a zero-crossing point of the signal based on a slope method; determining a height range searched when there is a cloud, adjusting an upper limit height according to the size of the signal in the range, and generating a limited range searched when there is a cloud; under the condition of a cloud, judging whether the cloud layer is in the boundary layer according to the slope size of the signal in the corresponding limited range, and in the two cases that the cloud layer is in the boundary layer and the cloud layer is out of the boundary layer, then recording the first target height or the second target height in the corresponding limited range as the boundary layer height according to the slope size. Through the method of dynamically adjusting the height threshold, the upper limit height threshold is adjusted in real time according to different situations, and the influence of complex stratification such as the cloud layer, the suspended aerosol layer and the residual layer is effectively eliminated.

The present application provides a content addressable memory (CAM) device, a content addressable memory cell and a data search comparison method thereof. The content addressable memory device includes a plurality of content addressable memory strings and an electrical characteristic detection circuit coupled to the content addressable memory strings. When performing a data search, a search data is compared to a stored data stored in the content addressable memory strings. The content addressable memory strings generate a plurality of memory string currents. The electrical characteristic detection circuit detects the memory string currents or detects a plurality of match line voltages of a plurality of match lines coupled to the content addressable memory strings to generate a plurality of search results. The stored data and the search data are a range stored data and a single bit search data, or the stored data and the search data are a single bit stored data and a range search data.

The invention relates to the technical field of computer security, and discloses a Boolean range search method supporting access mode and search mode privacy protection, comprising the following steps: a cloud server receives a search request from a client; the cloud server receives an encryption index constructed by a data owner; the plurality of cloud servers search on the stored encrypted index according to the received search request to respectively obtain part of search results; and sending the obtained partial search results to the client for summation to obtain a final search result. On the basis of effectively protecting the privacy of the access mode and the search mode, efficient Boolean range search can be realized, and meanwhile, in the process of dynamically updating the data, forward security is realized, and the security of previous search is not influenced by data updating.

The invention discloses a comprehensive management and control system and method for temporary power utilization, and the method comprises the steps: enabling all nodes to autonomously complete the position verification and the searching and negotiation of temporary power access points through the deployment of an edge calculation module, a Bluetooth module and a sound wave module at a power supply end node; direct communication among the nodes is realized through Bluetooth broadcasting, and millisecond-level quick response is obtained; a geo-fence is constructed through Bluetooth signals attached to each node, the constraint condition of a physical space is truly perceived, and wiring is convenient and fast; calculation tasks are dispersed to all nodes, a central control system does not need to process massive and high-concurrency real-time temporary power request calculation, and the nodes can be flexibly expanded according to needs; the natural ripple diffusion effect is simulated, small-range search is performed firstly, then the search range is expanded step by step, the nearest available node can be quickly positioned, and the line can be optimally utilized; and after the nodes are determined, the nodes nearby the nodes can automatically record related power supply information, so that the completeness and tampering resistance of the power supply records are ensured.

The application provides a multi-baseline phase unwrapping method based on accurate intercept correction, and relates to the technical field of radar signal processing, and comprises the following steps: acquiring parameter information corresponding to main and auxiliary images of an interferometric synthetic aperture radar in an observation scene and original interferometric phases, and constructing a reference intercept vector based on the parameter information and an external digital elevation model database; traversing actual intercepts corresponding to all pixels in the observation scene through a sliding window, obtaining a core intercept based on the frequency of the actual intercepts, correcting the core intercept by using the reference intercept vector, and obtaining a corrected intercept set; calculating a fuzzy number by using a limited range search method or a Chinese remainder theorem method based on the corrected intercept set and the number of baselines to obtain a fuzzy value; and calculating an unwrapped phase corresponding to each baseline by using a phase unwrapping equation based on the fuzzy value and the original interferometric phases. In this way, the practicability and reliability of the multi-baseline phase unwrapping method are significantly improved.

Methods and apparatus for sparse column-aware encodings for numeric data types, including integer data and floating-point data (float, double, etc.). The encoding schemes are tailored to take advantage of column addressable memories such as stochastic associative memories (SAM) to enable Stochastic Associative Search (SAS), which is a highly efficient and fast way of searching through a very large database of records (order of Billions) and finding similar records to a given query record (search key). Techniques are also disclosed for performing range searches for both integer and floating-point data types. The integer or float data is converted to Hexadecimal form and encoded using an m-of-n constant weight encoding. Only the columns with set bits in search keys need to be read, which significantly reduces the number of reads required for searches.

The application discloses a user screening method, relates to the field of anti-fraud, and comprises the following steps: acquiring user information; selecting anti-fraud features from the user information; setting associated screening conditions according to the anti-fraud features, and outputting target feature values satisfying the associated screening conditions; and determining target user numbers according to the target feature values. According to the application, the associated screening conditions are directly set according to the anti-fraud features, the feature values with fraud risks are screened out, and the user numbers are determined according to the feature values with fraud risks, so that the associated screening conditions can be set and the users can be screened in the case that the number of screening values is huge or the feature values of each user are basically different. The method can realize fuzzy definition, find the users with the same values under a certain feature, and realize wide-range searching of the users with high correlation degrees. In addition, the application further provides a user screening device, equipment and computer readable storage medium, which also have the beneficial effects.

One embodiment of the present invention relates to a method for performing efficient key range searches in a distributed computing system. The method can include receiving a first key (e.g., an alphanumeric identifier). A key range tree map associated with the first key can be identified from a plurality of key range tree maps. In some embodiments, individual key range tree maps map a set of minimum range values to a set of index values. The method can also include determining an index value associated with a second key using the determined key range tree map. Transaction processing data associated with the first key can be determined using the index value and provided to a request source. As described herein, the plurality of key range tree maps enables key range searches to be performed using on-board memory of an electronic device.

The invention relates to a power distribution system reliability index analysis method considering a source-load multi-period time sequence scene, and the method comprises the steps: completely analyzing and expressing a space incidence relation between a fault event consequence and a fault element through a fault influence incidence matrix; complex fault event enumeration and repeated fault influence range search in a traditional reliability evaluation process are avoided. In addition, the method utilizes a K-Medoids clustering algorithm to construct a typical operation scene set, depicts the internal relation and continuous dynamic characteristics of the distributed power supply and the load, retains the source-load time sequence association relation of the power distribution system, greatly reduces the calculation overhead, and improves the reliability evaluation efficiency of the power distribution system after the novel source load is accessed. A power failure load multi-time-sequence scene optimal recovery strategy considering capacity constraint and connectivity constraint is provided by establishing a reliability evaluation-oriented time sequence element model, and power distribution covering a source load multi-time-period time sequence scene within a statistical age limit is explicitly and quantitatively evaluated based on four types of fault influence incidence matrixes and a post-fault island recovery matrix.

The application discloses a kind of interval search formula Doppler frequency deviation estimation systems for high-speed moving scene, it is related to wireless communication technical field, including: channel perception module, the channel perception module is used to receive fast time-varying channel parameter and terminal motion parameter, adaptive multistage interval contraction search module, frequency deviation ambiguity decoupling module, frequency deviation fine calibration module, closed loop parameter control module, the closed loop parameter control module is used to receive global frequency deviation estimation value, difference calculation is carried out to global frequency deviation estimation value, and frequency deviation jump rate is obtained, according to jump rate adaptive adjustment search interval width and search layer number;By adaptive multistage interval contraction search module, subinterval division granularity and contraction algorithm are adaptively adjusted in combination with channel signal-to-noise ratio;While through closed loop parameter control module, search parameter is adaptively adjusted based on the jump rate of global frequency deviation estimation value, forms complete parameter closed loop control mechanism.

The invention relates to the technical field of aircraft navigation, in particular to an aircraft absolute visual navigation method and device based on deep learning. According to the method, a visual navigation process is adaptively selected according to the uncertainty of the prior pose of the aircraft. When the priori uncertainty is large, a two-stage strategy of retrieval first and then matching is adopted; when the prior information is accurate, a single-stage strategy of'direct matching 'is adopted. The method comprises the steps of reference image preparation, real-time image acquisition, priori information estimation, navigation strategy decision, pose calculation, result output and the like. According to the method, the precision and robustness of cross-view image retrieval and matching are improved through the deep learning model, and high-precision visual navigation of the aircraft can be realized under a large-range search condition. A modular design thought is adopted, core modules of image retrieval, matching and the like in the technical framework can flexibly select and match different deep learning models according to hardware platform performance and use requirements, and good expandability is achieved.

The invention discloses a geometric error correction method and system for additive manufacturing fine component high-precision CT imaging, and the method comprises the steps: carrying out the image equalization processing of a whole-field cone beam projection sequence, obtaining a whole-field projection sequence, carrying out the SIFT feature matching, and obtaining candidate matching pair feature points and a target sampling number; screening out an effective feature point set; iteratively minimizing the weighted objective function, and solving the optimal estimation value of the horizontal deviation of the detector; geometric pre-compensation is carried out on the whole projection; setting a small-range search domain of horizontal deviation of the rotating shaft, and constructing a candidate parameter set; selecting projections on the projection sequence, and performing slice reconstruction one by one to obtain a slice image set; solving and normalizing a sharpness evaluation index function, and taking a parameter associated with the slice image corresponding to sharpness index maximization as an optimal estimation value of the horizontal deviation of the rotating shaft; the correction system is composed of the scanning unit, the micro-focus ray unit, the acquisition unit, the two-stage correction unit, the reconstruction unit and the quality evaluation unit, and has the advantage of low cost.

The present invention comprises: a plant model storage unit (1) in which a plant model is stored, and which stores the relationship between the processes of the plant; a monitoring screen information storage unit (2) that stores the correspondence between each symbol on the monitoring screen and an ID; a parameter model storage unit (3) that stores the correspondence between a parameter to be controlled and a parameter that changes in accordance with the change in the parameter to be controlled; a component search execution unit (4) that searches for identification information corresponding to an input-designated symbol on the monitoring screen using the stored data of the monitoring screen information storage unit (2), and designates a device to be operated; and an influence range search unit (5) that searches for a time delay and an influence range that is affected by the operation of the device to be operated until an end or a loop of a directed graph is detected starting from the device to be operated.

The invention belongs to the technical field of collision detection. The invention discloses a method and hardware for accelerating collision detection by using Multi-Match CAM. In a coarse screening stage, an oriented bounding box (OBB) of a robot is converted into an axis alignment bounding box (AABB), an AABB range is converted into a CAM search key by using RENE coding, irrelevant points are quickly filtered through multi-matching CAM parallel search, and coordinates of candidate points are obtained; in the fine screening stage, the candidate points are subjected to accurate collision verification, and whether the points are in the OBB or not is checked through vector projection. The hardware part comprises a robot bounding volume calculation module, a RENE encoder, a Multi-Match CAM-based collidable set acquirer, a point-OBB collision detector and a point cloud filter, and supports fuzzy matching and efficient range search. According to the method, the collision detection efficiency is remarkably improved by utilizing hardware parallelism, and the technical problems of large calculation amount and long time consumption of a traditional method are solved.

This application discloses a method, apparatus, storage medium, and device for detecting signal accumulation in frequency-agile radar, relating to the field of radar signal processing technology. The method includes: performing slow-time echo modeling on target echo signals received by the frequency-agile radar; analyzing the periodicity of the range coupling term to obtain range periodicity characteristic parameters; reducing the range search interval based on these parameters; constructing a range-Doppler two-dimensional filter bank and performing two-dimensional filtering, outputting the filtered signal result; analyzing the signal peak envelope fluctuation characteristics; establishing an amplitude fitting detection algorithm; detecting the filtered signal result using the amplitude fitting detection algorithm; determining the target and outputting preliminary range and velocity parameters; reconstructing the target echo signal based on the preliminary parameters and removing data to obtain a new dataset; iteratively executing the detection algorithm until no new targets are added; and outputting the range and velocity parameters of all targets. This application enables robust detection of multiple targets under a frequency-agile radar system.

The invention discloses a multi-means networking specific target search task planning method and system. According to the multi-means networking specific target searching task planning method provided by the invention, the searching of the specific target is divided into three modes, namely a large-range searching mode, a small-range positioning mode and an accurate tracking mode, different planning strategies are provided for the three modes, and conversion conditions are set among the three strategies, so that the searching efficiency of the specific target is improved. When conditions are met, a search mode can be changed, and task planning is dynamically performed. According to the method, the situation of a search target and input external information are analyzed, and a search mode required by the search target is judged. And performing task planning according to the search mode, the search target information and the mode means capability, forming a search scheme, generating a search task and supporting means for searching. Searching situation data are accessed in real time, a scheme is dynamically planned and adjusted according to the situation data, searching of a specific target is completed, and searching accuracy and efficiency are improved.

The invention relates to an alternative technology path generation method and device. The method comprises the following steps: obtaining question description information corresponding to a natural language query operation; abstracting the problem description information to obtain an abstract mode; wherein the abstract mode is decoupled from the field to which the problem description information belongs; performing global range search in a pre-constructed unified knowledge base according to the abstract mode to obtain a plurality of candidate analogy sources; wherein the field to which the candidate analogy source belongs is different from the field to which the problem description information belongs; generating at least one alternative technology path based on the candidate analogy source; the alternative technology path is used to provide a cross-domain reference solution. By adopting the method, the accuracy of the generated decision support report can be improved.