57results about How to "Wide range of search" patented technology

The invention proposes an urban target trajectory tracking method, and the method comprises the following steps: setting an intersection monitoring device; recording road behaviors of a pedestrian; determining a tracked target; and judging the trajectory of the tracked target. The method monitors the pedestrian on a road in real time through a camera at an intersection, carries out the analysis, processing and human face comparison of a video stream transmitted by the camera, obtains a human face target, deduces the walking trajectory of the human face target, and then deduces the disappearance range of the target through curve fitting. The method is low in cost, is high in flexibility, is wide in search range, is high in search accuracy, can be suitable for various types of target tracking application scenes, and provides assistance and support for various departments.

The invention discloses a hearing aid self-fitting method. The method includes the steps that firstly, a knowledge base is established, a historical patient most similar to a current present is found out, and the optimal hearing aid algorithm parameters of the historical patient are obtained; the current patient conducts satisfaction evaluation on the sound quality, the hearing aid algorithm parameters are updated in an iteration mode according to evaluation indexes, and interaction with the knowledge base is conducted; test sounds are generated for the current patient according to the updated hearing aid algorithm parameters until the current patient feels satisfied. The knowledge base is introduced into the hearing aid self-fitting method, the matching range of the hearing aid algorithm parameters is greatly narrowed, and the fitting efficiency of a hearing aid is obviously improved. The expected value of the hearing aid of the current patient is met to the maximum degree due to the fact that the hearing aid algorithm parameters are updated in the iteration mode according to the evaluation indexes, and the accuracy of the hearing aid algorithm parameters is improved.

The invention discloses an unmanned aerial vehicle interception net capture control system. The system comprises a target searching and tracking module, an interception control module and a net shooting fire control module. The interception net capturing control system can be carried on an unmanned aerial vehicle, autonomously guides, approaches a target and shoots a net bomb after finding the target unmanned aerial vehicle, and drags the target unmanned aerial vehicle to fly back to a base after capturing the target unmanned aerial vehicle. According to the system, a pair of laser radars is used as search sensing equipment. The unmanned aerial vehicle interception net capture control system has the advantages of the wide search range and high precision; the interception control module canautomatically generate an interception route according to the position of the target unmanned aerial vehicle and automatically guide the target unmanned aerial vehicle to approach the target unmannedaerial vehicle, when the target flies into the coverage surface of the net bomb, automatic fire control and net bomb launching can be achieved, the accuracy is good, and additional killing cannot becaused.

The invention is a method for searching and obtaining WAP websites based on voice recognition technique, comprising two operations: (1) after dialing a telephone service access code, a user searches WAP websites by talking; a system platform can make website searching by key words, WAP SP name, WAP service name, WAP service class, and system's recommendation or hot recommendation according to user password and transmits the final searching results to user cellphone terminal in WAP PUSH mode; (2) WAP SP connects through WEB website management module to voice searching platform of WAP websites to make WAP website adding, viewing, deleting and updating operations. And the system structure is simple, and it can implement WAP website searching and push only by adding a service platform instead of upgrading user terminal equipment. Thus, a user can truly connect to Internet at any time and any place.

The invention discloses a method and device for querying contact people. The method comprises the steps that address lists of users are obtained, wherein the address list of each user comprises one or more contact persons of the user and corresponding contact numbers; after a query request sent by a query person is received, a to-be-queried person with the association degree of the query person reaching to an appointed threshold is checked in the address lists of the users; the contact number of the to-be-queried person is sent to the query person. The method and device solve the problem that in the related technologies, the precision of the operation that the query person acquires the contact people is not high enough. The search range of the contact people is wider, the precision is higher, positioning is more accurate, and the scheme is easy to operate and suitable for mass groups.

The invention discloses an ultrasonic echo signal extraction method based on multi-scale matching tracking. The method comprises the following steps: step one, ultrasonic echo signal acquisition and synchronous uploading; step two, time frequency parameter value range compression: compressing value ranges of time frequency parameters of a Garbo atom used for performing sparse decomposition on a to-be-processed signal f(t) by adopting the data processing equipment, wherein the time frequency parameters comprise a scale parameter, a displacement parameter, a frequency parameter and a phase parameter; step three, signal extraction as follows: step 301, signal sparse decomposition based on optimization algorithm; and step 302, signal reconstruction. The method disclosed by the invention is simple in step, reasonable in design, convenient for realization, and good in use effect; the value range of each parameter in the time frequency parameters is compressed, and then the optimal matching atom is searched by adopting the signal sparse decomposition method based on the optimization algorithm, the signal extraction speed can be greatly accelerated, and the signal extraction precision canbe effectively improved.

The invention discloses a signal dedrying method based on time-frequency analysis. The method comprises the steps that 1, a to-be-processed signal is synchronously stored; 2, signal dedrying is conducted, wherein data processing equipment is adopted for dedrying the to-be-processed signal f(t), the process comprises the substeps that 201, signal sparse decomposition based on an optimization algorithm is conducted; when the data processing equipment is adopted for seeking psirn(t), and the time-frequency parameter rn is sought through the following processes of C1, time-frequency parameter optimization; C2, optimal time-frequency parameter determination; 202, signal reconstruction is conducted. The method is simple in step, reasonable in design, convenient to implement and good use effect,a signal sparse decomposition method based on the optimization algorithm is adopted for seeking the optimal matching atom, and meanwhile a fitness value and sparsity are combined for determining the optimal matching atom; the signal dedrying speed can be greatly increased, the dedrying effect can be effectively improved, and the accuracy of the signal obtained after dedrying is guaranteed.

The invention discloses an internet-based education consultation service system. The system comprises a user terminal, a server and a background terminal, wherein the user terminal is connected with the server; the server is connected with the background terminal; the user terminal comprises a user registration module; the user registration module comprises a name, gender, age, a job and contact information; the server comprises an online question-asking unit, an online answer unit and a database retrieval unit; and the background terminal comprises a keyword extraction unit, a service database, an internet connection unit, an online staff answer module and a data sorting unit. The system is simple and reasonable in structure design and convenient in operation; the consultation of people is facilitated; the interactivity between people is enhanced; and the retrieval efficiency is improved.

The invention discloses a traffic flow evacuation time estimation method, which mainly solves problems that discreteness of an evacuation vehicle scale and randomness of road section non-evacuation flow are not fully considered when the evacuation time is estimated in the prior art. The method of the technical scheme comprises steps: firstly, a current road condition is judged through congestion detection algorithm, when the road is judged to be in a congestion state, an evacuation strategy selection model is built according to the current road traffic flow, and the objective function of the model uses the shortest evacuation time as a principle and uses basic requirements that the traffic flow in each branch in a road network needs to be balanced as constraint conditions; and then, ant colony algorithm is used for solving the model, and the shortest evacuation time and the longest evacuation time for the current congestion state are obtained. The method of the invention can accurately estimate the needed time for evacuating vehicles when traffic congestion happens, effective information is provided for vehicles yet to come, a theoretical basis is provided for correct traffic commanding by a traffic management department, harms caused by emergent events are reduced to the minimal as much as possible, and the method can be used for traffic management for the urban road network.

The present invention relates to an airplane search and rescue method. The method comprises the following steps: 1, calculating the optimal searching width W of the search and rescue according to the expected search success probability Q; 2, determining a search mode according to the relation of the optimal search width W and the minimum turning radius Rmin of an airplane; 3, calculating the coordinates of each turning point in a search area according to the optimal searching width obtained in the step 1, the search mode obtained in the step 2, the search boundary point obtained in the step 3 and turning reference points, wherein all the turning points are located below one of the turning reference points, namely the turning points and the turning reference points have the longitude; and 4, performing flight search and rescue according to the points of penetration and the turning points. The airplane search and rescue method performs search and rescue and flight route planning of a search area in a grid-shaped search mode to clear the key navigation parameters such as the coordinates of the point of penetration of the flight route and the coordinates of the turning points so as to make a feasible flight route for an airplane and reduce the areas of repeating search and omission search.

The invention discloses a defect detecting method based on ultrasonic flaw detection. The method comprises the following steps: 1, acquiring an ultrasonic echo signal and uploading the ultrasonic echosignal synchronously; 2, determining wave crests and wave troughs; 3, eliminating extreme points; 4, dividing the signal: determining a time interval between every two adjacent extreme points, judging dividing points, determining sampling moments of the dividing points, judging signal division, sorting the dividing points and dividing the signal; 5, judging signal separation and performing signalseparation; and 6, identifying a defect. The method is simple in steps, reasonable in design, convenient to implement and good in using effect; the judgment of the dividing points and the determination of the sampling moments of the dividing points are achieved by performing threshold judgment on the time interval between every two adjacent extreme points, and the ultrasonic echo signal is divided; then signal separation judgment and signal separation are respectively performed on every divided signal, and independent ultrasonic echo signals at multiple defect positions in the same ultrasonicecho signal can be quickly and accurately identified.

According to the webpage timeliness obtaining method for temporal consistency constraint determination, based on webpage timeliness, a temporal inconsistency intelligent recognition system of a network temporal model is provided, and comprises the construction of the network temporal model, a temporal inconsistency constraint system determination system and a temporal inconsistency intelligent recognition method based on the network temporal model. On the basis of an internal search engine, a webpage release time obtaining method based on an analytic hierarchy process model is provided, timeliness sorting is conducted on search results of the search engine through webpage release time, and timeliness retrieval is achieved. Further, the webpage timeliness is analyzed from the perspective ofwebpage content time, the positions where the time phrases possibly appear are all marked, it is guaranteed that the time phrases are extracted more sufficiently, the webpage timeliness obtaining intelligent degree is high, and the speed is high. Experiments prove that the result of the method for obtaining the webpage release time is efficient and accurate, and the retrieval result of the searchengine meets the timeliness requirement of the user.

The invention provides a flight searching method and device, electronic equipment and a readable storage medium, so as to optimize the class search method in the related technology. The class searching method provided by the embodiment of the invention comprises the following steps: obtaining a plurality of pieces of ticket price information from a departure place to a destination according to thedeparture place and the destination in a searching request; extracting transfer place information or direct information contained in each piece of ticket price information in the plurality of piecesof ticket price information; for the ticket price information including transfer place information in the plurality of pieces of ticket price information, obtaining a shift combination corresponding to the ticket price information, and for the ticket price information including direct information in the plurality of pieces of ticket price information, obtaining a direct shift corresponding to theticket price information; and in response to the search request, outputting a class combination or a direct class corresponding to each of the plurality of pieces of ticket price information.

The invention relates to a vision-based multi-sensor fusion intelligent epidemic prevention robot and a system. The vision-based multi-sensor fusion intelligent epidemic prevention robot comprises a robot upper cover and a robot main body which are arranged with one under the other, a rotating shaft and a rotating motor for driving the rotating shaft are arranged in the robot main body, a through hole for the rotating shaft to penetrate through is formed in the center of the robot upper cover, a sensor box is fixed at one end, penetrating through the through hole, of the rotating shaft, and an infrared camera and a high-definition camera are arranged on the sensor box; a depth camera, a monocular camera and a loudspeaker are arranged on the robot upper cover, and two driving wheels and two universal wheels are arranged below the robot main body; a control system is arranged in the robot main body; and the infrared camera, the high-definition camera, the depth camera, the monocular camera, the loudspeaker and the driving wheels are all connected with the control system. Compared with the prior art, the vision-based multi-sensor fusion intelligent epidemic prevention robot has the advantages that the capability of identifying and tracking the fever personnel is higher, and so on.

The invention discloses an ultrasonic signal receiving and processing method based on signal section segmentation. The ultrasonic signal receiving and processing method comprises the following steps:1, acquiring and synchronously uploading and receiving an ultrasonic echo signal; 2, determining wave crests and wave troughs; 3, removing extreme points; wherein a data processing device is adopted to segment the ultrasonic echo signal F (t), and the process comprises the following steps that 401, the time interval of adjacent extreme points is determined; 402, judging a segmentation point and determining the sampling time of the segmentation point; 403, performing signal segmentation judgment; 404, sorting the segmentation points; 405, signal segmentation. The method is simple in step, reasonable in design, convenient to implement and good in using effect, segmentation point judgment and segmentation point sampling time determination are achieved by conducting threshold judgment on the time interval of the adjacent extreme points, and ultrasonic echo signals are segmented according to the determined number of segmentation points and the sampling time of all the segmentation points.

The invention discloses a signal extraction method. The signal extraction method comprises the following steps: 1, synchronously storing to-be-processed signals; 2, processing the to-be-processed signals: processing the to-be-processed signal f(t) by using data processing equipment, wherein the process comprises the following steps: 201, performing signal sparse decomposition based on an optimization algorithm; 202, performing residual amount judgment: judging whether ||R<m>(t)||2 obtained after signal sparse decomposition is less than epsilon or not, and if the ||R<m>(t)||2 is greater than orequal to epsilon, entering the step 203, otherwise, entering the step 204; 203, performing best matching atom optimization; 204, performing signal reconstruction. The method is simple in step, reasonable in design, convenient to implement and good in use effect; the best matching atom is searched according to a signal sparse decomposition method based on the optimization algorithm, the signal extraction precision is judged through residual amount judgment, and best matching atom optimization is conducted according to the judgment result, so that the signal extraction speed can be greatly increased and the signal extraction precision can be effectively improved.

The invention provides a self-adaptive GRNN estimation method for the health state of a lithium ion battery of an electric vehicle. Aiming at the characteristics of missing, abnormality and noise of battery measurement data, an improved particle filter algorithm is adopted for processing or a least square method and a mean value replacement method are selected for processing parameters according to a variable coefficient so that the input parameters of the neural network are stable, and the noise immunity is improved. The GRNN algorithm has the advantage of high estimation precision when applied to SOH estimation, but due to the fact that a smoothing factor is manually set, the experiment average error and variance of the smoothing factor are not stable. Therefore, the smoothing factor ofthe GRNN is optimized by using the QGA so as to improve the network adaptability. Furthermore, in consideration of the characteristic that the correlation between different characteristic parameters and the capacity is different, a transfer function of a mode layer is constructed by utilizing the optimal smoothing factor and the correlation coefficient so as to improve the estimation precision ofthe GRNN. Experimental results show that the algorithm provided by the invention can effectively estimate the health state of the lithium ion battery and has a wide application prospect.

The invention belongs to the field of battery design, and particularly relates to a laminated solar battery structure optimization method, which comprises the steps of taking structure information ofa to-be-optimized laminated solar battery as population information of a differential evolution algorithm, taking a battery performance index as an optimization target of the differential evolution algorithm, and initializing the structure information; controlling a differential evolution algorithm to perform iterative evolution on the initial structure information for multiple times by adaptivelyadjusting a scaling factor and a crossover probability required by each iteration, wherein each iterative evolution is to jointly adjust each layer of structure in the laminated solar cell to obtaina new population and predict a cell performance index according to the new population by adopting a pre-constructed cell performance prediction neural network, and finally optimal structure information is obtained. According to the self-adaptive differential evolution algorithm, the structures of all layers can be jointly adjusted, the problem of local optimization is avoided, the differential evolution algorithm is combined with the battery performance prediction neural network, the battery structure can be designed in a high-efficiency and time-saving self-adaptive reverse optimization mode,and the optimization efficiency is improved.

The invention discloses an echo signal separation method for ultrasonic flaw detection. The method comprises steps of: first, acquisition and synchronous uploading of an ultrasonic echo signal: an ultrasonic flaw detection device performs ultrasonic detection on a tested object, acquires an ultrasonic echo signal F(t) of the tested object, and synchronously transfers the acquired ultrasonic echo signal F(t) to a data processing device ,wherein the ultrasonic echo signal F(t) comprises ultrasonic echo signals of positions of K flaws of the tested object; second, signal sparse and decomposition;and third, echo signal separation: the data processing device separates the ultrasonic echo signal F(t) according to K optimal matched atoms in an iteration decomposition optimal atom set, and acquires K separation signals. The method has simple steps, is reasonable in design, is easy to realize, has good use effect, and conveniently, rapidly separates overlaid signals in multiple flaw positionsin the same ultrasonic echo signal through signal sparse decomposition.

The invention discloses an approximate simplification method for a single-output combinational logic circuit. The method comprises the steps: approximately representing a plurality of product terms asa product term under the constraint of an error rate, and deleting a specific product term, thereby achieving the simplification of a logic function; considering that a logic expression of a simple logic function often corresponds to a simple circuit structure, some logic circuits have a larger optimization space; on the premise of not influencing normal application of the logic circuit, furtheroptimization of performance such as power consumption, speed and area of the logic circuit can be realized; although the method is a single-output combinational logic circuit simplification method; however, the multi-output combinational logic circuit can be converted into a combination of a plurality of single-output circuits; therefore, the method can be popularized to the simplification of themulti-output combinational logic circuit, is suitable for the optimization of the logic circuit of which the logic function can be described by an AND/OR form logic function, is easy to program and implement, can be integrated into computer aided design, and is used for the integration and optimization of the logic circuit.

The invention relates to a transformer hybrid polarization model parameter identification method based on an improved wolf pack algorithm, and the method comprises the following steps: the wolf pack algorithm is improved, an adaptive step length is introduced, and the step length of each movement of a wolf pack is determined by the current position of the wolf pack and the position of a head wolf pack; enabling a wolf pack position in the improved wolf pack algorithm to be a model parameter identification value of the hybrid polarization model, and constructing a wolf pack hunting function based on the model parameter identification value and a measured value; performing a wolf pack hunting activity, initializing a wolf pack position, generating a first wolf based on a wolf pack hunting function, and performing a wolf pack searching behavior, a wolf pack calling behavior and a wolf pack hunting behavior; the position of the first wolf is updated according to the mechanism that the strong wolf is the king, and the wolf pack is updated according to the mechanism that the weak meat is the strong food; and repeating the wolf pack hunting activities to perform iteration updating of the wolf pack, and outputting the model parameter identification value of the hybrid polarization model with the position of the current head wolf being the optimal after an iteration termination condition is reached.