23 results about "Temporal search" patented technology

The invention discloses an intelligent security and protection management system and method based on abnormal target tracking, and relates to the field of security and protection management, which analyzes the space-time accessibility of a target in an environment topology after the target is lost, models the dynamic evolution process of target characteristics, and compares the judgment reference of identity re-identification from the static global appearance, so that the identification accuracy of the target is improved. And transferring to a dynamic probabilistic spatio-temporal search model with perspectiveness. And furthermore, based on the model, actively predicting a time-space window where a target may appear and an attenuated appearance portrait, performing targeted search and matching in a specified real-time video stream, and realizing reliable re-association of the identity according to the confidence of a matching result. Therefore, two key variables, namely environment topology and time decay, are introduced into a tracking mechanism, so that active prediction of the space-time position and the appearance state of the missing target can be realized, and the continuity and the accuracy of identity tracking can be guaranteed under the complex condition that the target is separated from the visual field for a long time.

The invention relates to the technical field of client intention pre-estimation, and discloses a client information management system, which comprises an information acquisition module used for acquiring interaction data of clients, and according to the login times, the page dwell time, the search times and the click behavior times of the clients acquired by official websites and mobile application channels, the client intention pre-estimation information is acquired by the information acquisition module; and obtaining a website score and an application score, and obtaining a customer service score according to the customer call times, the call duration and the work order recording times collected by a customer service system channel. According to the invention, clients are graded by using the intention score through the behavior analysis module, clients with low client activeness or recently paid clients are marked as low intention clients, high-intention clients really having continuous payment potential for products or services are effectively distinguished, and repeated investment of promotion resources into existing clients having satisfied consumption demands is avoided.

The invention provides a cross-border e-commerce customer obtaining method and system based on intelligent retrieval, the method processes and analyzes user data based on a natural semantic recognition method, and the method comprises the following steps: intelligently retrieving enterprise target customers by adopting a search end, and performing related information interaction according to different search tags; according to the interaction result, carrying out data association merging on the search results of the plurality of search tags; performing data analysis after association and combination, and performing user activeness ranking; and according to a sorting result in the step S3, advertisement pushing with corresponding frequency and commodity selling in corresponding time periods are carried out on the users with different activeness. According to the method, the purchase desire of the user can be evaluated according to different target classification words of the user, promotion time, search keywords and selling time of different commodities are set according to shopping habits of the user, the probability of obtaining customers is increased, the customers purchasing for the first time are easier to obtain, the repeated purchase rate of old customers is increased, and the user experience is improved. And the flow casting cost is reduced.

An information processing device includes an optimization unit, a control unit, and a search unit. The optimization unit executes optimization calculation processing of obtaining an optimal solution by repeatedly executing solving processing of obtaining a solution to an optimization problem by using one or more set parameters. The control unit sets a calculation time of the optimization calculation processing for each of a plurality of search times obtained by dividing a specified time that is specified. The search unit repeatedly executes search processing of setting the parameter different from parameters of other search times for each of the plurality of search times, causing the optimization unit to execute the optimization calculation processing within the set calculation time by using the set parameter, and searching for an optimal value of the parameter by Bayesian optimization by using the optimal solution obtained by the optimization calculation processing.

The embodiments of the present application provide a visual media search method, and a device and a storage medium. The method is adapted to an electronic device, and comprises: displaying a first interface, wherein the first interface comprises a search box; receiving a search operation in respect of a search statement which is input via the search box, wherein the search statement comprises a time search range and a first keyword, and the starting time of the time search range is a first time point, and the ending time thereof is a second time point; and displaying a first search result, the first search result corresponding to a first visual media file, wherein the first visual media file matches the first keyword, and the collection time of the first visual media file is before the first time point or after the second time point. The technical solution provided in the embodiments of the present application can ensure that the same series of photographs or videos captured by a user before and after a time search range which is input by the user can be recalled, thereby improving the user search experience.

This invention belongs to the field of data processing technology and provides a method and application for automatic time alignment of radar and image data based on target association. The method includes: creating a time search window on the time axis of the image data stream for each frame of radar data in the radar data stream; projecting each radar target in the radar dynamic target list onto the image coordinate system; for each frame of image within the time search window, counting the number of projection points falling into the image detection box to generate a target association score; selecting the radar frame and image frame with the highest target association score as a synchronization frame pair; calculating the timestamp offset based on the timestamp of the synchronization frame pair; and selecting a corresponding time alignment strategy to automatically align the radar data stream and image data stream based on the statistical stability of the calculated timestamp offsets. This invention can solve the problem of timestamp asynchrony between independently recorded millimeter-wave radar point cloud data and camera image data; and can achieve automatic offline time alignment.

The invention discloses a hot start quick capture method and device, electronic equipment and a storage medium. The method comprises the following steps: after cold start, carrying out normal satellite receiving positioning calculation, and obtaining and storing effective positioning information, ephemeris and positioning time; the receiver time after clock error correction is written into a real-time clock module, and time punctuality is carried out; after the receiver is shut down and restarted to be powered on, the positioning time is acquired, and the punctuality time of the real-time clock module is read; adaptively matching corresponding time search ambiguity according to the positioning time and the punctuality time; and according to the time search ambiguity, the positioning effective information and the ephemeris, carrying out capturing search, tracking and positioning calculation on all visible stars. According to the scheme provided by the invention, the time ambiguity of the hot start at different startup moments is fully utilized, and different search time ambiguity is adaptively used, so that the aim of accelerating the hot start is fulfilled.

The invention relates to the technical field of terminals, and provides an image set acquisition method, electronic equipment and a computer readable storage medium, the method comprises the following steps: acquiring at least one component of a target recommendation template, the at least one component at least comprising a time element and / or a character element; converting the initial keyword of the time element and / or the character element to obtain a time search keyword and / or a character search keyword; according to the search keywords, searching is carried out in a picture library, a target picture set matched with the search keywords is obtained, and the search keywords at least comprise time search keywords and / or character search keywords. According to the method, the corresponding picture set can be obtained according to the picture elements of the picture and is used for recommending to the user, so that the picture is displayed in a personalized manner according to the recommendation template, and the browsing experience of the user can be improved.

To reduce adjustment time of a minimum temperature used in a replica exchange method.SOLUTION: A search unit 12 performs search processing of a solution of a combination optimization problem by a replica exchange method using replica circuits 12a0-12aN corresponding to a plurality of replicas of an evaluation function based on an Ising model. The processing unit 13 acquires an average value of values of the evaluation function obtained in the search processing due to a replica circuit 12an, in which a Tn having an n (n is one or more integers) number higher than a minimum temperature value (T0), of replica circuits 12a0-12aN is set during the search processing from the search unit 12, in multiple times; changes Tn on the basis of a comparison result between a first average value and a second average value acquired before the first average value; newly determines T0-TN by changing other temperature value including T0 on the basis of TN and a changed Tn while fixing a maximum temperature value (TN) and the changed Tn; and sets them for the search unit 12.SELECTED DRAWING: Figure 1

The embodiment of the invention provides a visual media searching method and device, a storage medium and a program product. The method is suitable for the electronic equipment and comprises the steps that after a search operation on a search statement input to a search box is received, a first candidate set, a second candidate set and a third candidate set are determined, the search statement comprises a time entity and a first keyword, the time entity corresponds to a first time search range, and the first keyword corresponds to a second time search range; the first candidate set is a set matched with the first keyword, the second candidate set is a set matched with a first time search range, the third candidate set is a set matched with a second time search range, and the second time search range is obtained by expanding based on a time entity; when an intersection exists between the first candidate set and the second candidate set, displaying a search result set; and when the first candidate set and the second candidate set do not have the intersection, displaying the recommendation set. According to the technical scheme provided by the embodiment of the invention, the probability of hitting the search expectation of the user can be improved.

To secure sufficient choices for a user in a retrieval result of a service facility.SOLUTION: An information processing system includes a storage unit, a communication unit, and a control unit. The storage unit stores facility information about a plurality of service facilities. The communication unit communicates with a user terminal. When the control unit receives, from the user terminal, a search request including a reservation date and time, a search reference location, and additional search conditions as search conditions for the service facility that can be reserved, the control unit sets a search range based on the search reference location to a different size in accordance with the additional search conditions and searches for the service facility that can be reserved. Then, the control unit transmits search result information indicating a search result of the service facility to the user terminal.SELECTED DRAWING: Figure 4

This application relates to an adaptive rapid positioning method and system based on GNSS synchronization status, belonging to the field of navigation and positioning technology. The method includes: entering the normal positioning process when all tracked satellite signals have completed message time synchronization; otherwise, entering the adaptive time-free positioning process, which includes first dynamically determining the minimum reliable time unit and time search interval based on the synchronization status level of the tracked satellite signals; then determining a relatively accurate local reference time as the local baseline time based on the synchronization status level and time search interval; and after correcting the signal transmission time of the tracked satellites based on the local baseline time and the minimum reliable time unit, performing rapid AGPS iterative calculation. This method enables rapid receiver positioning under a wide range of time errors.

This invention discloses a global path planning method for unmanned surface vessels (USVs) based on the dolphin swarm algorithm, comprising the following steps: Step 1: Modeling the USV path planning task environment using a grid method, designing the path length as the objective function for the global path, and calculating the shortest path; Step 2: Using the standard dolphin swarm algorithm to search for points within the path area to determine possible routes, and determining a suitable route based on all possible routes; Step 3: Setting a strategy for the standard dolphin swarm algorithm, setting a fixed search time to search for a suitable route, and adding a jump step after the search to jump to the optimal position within the suitable route; Step 4: Using a cubic B-spline curve fitting optimization method to smooth the feasible path, obtaining a smooth curve that conforms to the dynamic characteristics of the USV. This planning method has strong universality in both simple and complex environments.

The invention discloses a material price multi-source data structuring and space-time retrieval method and system, and relates to the technical field of material price data processing, and the method comprises the following steps: obtaining a multi-source price record of a target material, tracing an upstream generation dependency relationship, and identifying a price formation path type; on the basis of the path type and the dependency relationship, reversible conversion of each price record is judged, and a target comparison aperture price is generated; based on the target comparison aperture price, determining establishment time anchor points and space anchor points of each price record, and constructing price basic information; analyzing the retrieval target information, and determining a price comparability constraint rule; and based on the constraint rule, retrieving the price basic information, and outputting a comparable price result set. According to the method, target comparison aperture conversion is performed on the multi-source price records under different generation chains, so that the problem of comparable retrieval result distortion caused by difficulty in reliably converting the multi-source prices into the same comparison aperture in the prior art is solved.

The present invention provides an industrial defect image detection method based on dynamic regular entropy differentiable architecture search, and relates to the field of image analysis technology. Obtain industrial image data to be detected and classified and construct an industrial image data set, and divide it into a training set and a verification set; construct a differentiable search supernet model for searching the architecture, initialize the network weight ω and the architecture parameter α, and calculate the loss function and the loss model and optimizer for gradient update; perform multiple rounds of training, and use the training set and the verification set in each batch of each round to calculate the loss and update ω and α; after training, discretize α to obtain the neural network architecture of the final search, and retrain the architecture on the entire data set, use it as a classification model for detecting abnormal defects in industrial images, input the actual industrial image to be detected and classified, and obtain the defect detection result. The method of the present invention can search for an architecture with excellent detection performance without performance collapse under long-term search.

To ensure that a user has sufficient options in a search result for a service facility.SOLUTION: An information processing system includes a storage unit, a communication unit, and a control unit. The storage unit stores facility information on a plurality of service facilities. The communication unit communicates with a user terminal. The control unit, when a search request including a reservation date and time, a search reference location, and additional search conditions is received from the user terminal as search conditions for the service facility that can be reserved, searches for a service facility that can be reserved by setting a search range on the basis of the search reference location to a different size in accordance with the additional search conditions. The control unit then sends search result information indicating search results for the service facility concerned to the user terminal.SELECTED DRAWING: Figure 4

The invention provides a diffusion model space-time mixing precision quantification method and system based on tree search, and the method comprises the steps: constructing a space search tree, and carrying out the aggregation of the space search tree, and obtaining the static weight precision and reference activation precision of a DiT model; discretizing the time dimension of the DiT model to generate a key time period; based on the reference activation precision, obtaining an average activation bit number and accumulated distortion of each key time period; constructing a time search tree, and aggregating the time search tree by using an average activation bit number and accumulated distortion to obtain an optimal scheduling path of the DiT model; and performing quantization processing on the pre-trained DiT model based on the static weight precision and the optimal scheduling path to obtain a quantized DiT model. The quantization DiT model can be applied to generation scenes of data such as images and videos, and distortion minimization of the data can be achieved under the condition of extremely low bit number budget through highly unified logic of spatial dimension and time.

The application relates to a near-space vehicle interception window searching method considering intersection angle constraints. The application aims to solve the problem that the Pock-Chop diagram method has a long calculation time and is easy to cause the calculation to lose the timeliness of a launch opportunity. The process is as follows: I. determining an interception missile dynamics model and a target device kinematics model; II. estimating an interception missile launch time searching range [0, t 1max ] and an interception time searching range [t fmax ]; III. considering the launch speed constraint of the interception missile, solving a nonlinear equation to obtain a feasible range of the interception time under the condition of a given interception missile launch time; IV. considering the intersection angle constraint at the time of the handover between the middle and the end within the feasible range of the interception time, using coarse search and combining an ITP method to obtain an interception time range under the condition of satisfying the two constraints; and V. obtaining an interception window. The application is used in the field of vehicle interception window searching.

The invention relates to the technical field of cryptosystem security evaluation, and provides an improved evaluation method and system for an information set decoding algorithm, and the method comprises the steps: firstly obtaining an SDP problem parameter and an optimization parameter of a to-be-evaluated algorithm, and estimating a search space and an expected number of iterations through a combination number formula; calculating the time overhead for performing Gaussian elimination on the check matrix H in each round; evaluating the complexity of constructing the search tree according to the number of layers of the search tree and the size of the set; a matching probability model is constructed, the reciprocal of the matching probability model is taken, and the expected number of times of finding a correct error vector is estimated; the overall time complexity of an information set decoding algorithm for solving an SDP problem under current parameter configuration is obtained by comprehensively processing the complexity, Gaussian elimination time, search tree construction complexity and expected matching times, and a more accurate complexity analysis means is given through fine modeling and a probability backstepping mechanism. The method can be widely applied to key links such as parameter selection, security level verification and standard formulation of a post-quantum encryption algorithm.

The present disclosure relates to the technical field of password system security evaluation, and proposes an improved evaluation method and system of information set decoding algorithm, which first acquires SDP problem parameters and optimization parameters of the algorithm to be evaluated, estimates search space and expected iteration times by using combination number formula; calculates time overhead of Gaussian elimination of check matrix H in each round; evaluates complexity of search tree construction according to the number of layers and the size of the search tree; then estimates expected times of finding correct error vectors by constructing a matching probability model and taking its reciprocal; and finally obtains overall time complexity of the information set decoding algorithm in solving the SDP problem under the current parameter configuration by comprehensively processing complexity, Gaussian elimination time, search tree construction complexity and matching expected times. Through fine modeling and probability backstepping mechanism, more accurate complexity analysis means are provided, which can be widely applied to key links such as parameter selection, security level verification and standard formulation of post-quantum encryption algorithm.

The invention discloses a rainfall event identification method and device, and the method comprises the steps: obtaining a plurality of rainfall data points, and enabling each rainfall data point to comprise a corresponding relation among a time point, a spatial position and a rainfall amount; clustering the plurality of rainfall data points based on a time search radius, a space search radius and a minimum inclusion rainfall to obtain at least one rainfall event, the time distance between different rainfall data points in each rainfall event being less than or equal to the time search radius; the space position distance between different rainfall data points in each rainfall event is smaller than or equal to the space search radius, and the sum of the rainfall amount of all the rainfall data points contained in each rainfall event is larger than or equal to the minimum contained rainfall amount.

The invention relates to an improved grid shape search method based on obstacle direction priority, and belongs to the technical field of air route planning and optimization search. Comprising the following steps: 1, an unmanned aerial vehicle flies according to a grid-shaped search route; 2, in the advancing process, if no obstacle influence exists, the starting point direction is preferential; 3, if the unmanned aerial vehicle arrives at the obstacle in the advancing process, taking the position of the obstacle relative to the unmanned aerial vehicle as the priority of changing the course of the unmanned aerial vehicle, and introducing a priority list for indicating the next movement direction of the unmanned aerial vehicle and avoiding the obstacle; and 4, after avoiding the obstacle, continuing to carry out grid search according to the new position point. The method can flexibly adjust the change of the priority when the unmanned aerial vehicle is blocked by obstacles in the search process, achieves the coverage search of the whole region, avoids the cyclic coverage process of the unmanned aerial vehicle for the non-searched region after the unmanned aerial vehicle completes the search according to the original route, reduces the search time, reduces the search path, and improves the search efficiency.

A system is provided.SOLUTION: A system comprising: means for selecting an input method and a communication language of a user and inputting a symptom; translation means using generative artificial intelligence for translating the input of the user; means for analyzing the translated symptom; means for searching for an optimal medical institution based on a current position and a time zone; and means for arranging a pick-up in cooperation with a vehicle dispatch service.SELECTED DRAWING: Figure 1