92 results about "Selection sort" patented technology

The invention provides a WiFi connection method. The method comprises the following steps of obtaining scanned WiFi hotspots; according to a connection instruction, selecting the optimal free WiFi hotspot obtained after sorting is performed on the basis of the comprehensive scores of signal strengths, the number of connection persons, the internet speed and the last time connection time of the WiFi hotspots; performing connection on the optimal free WiFi hotspot. The invention further provides a WiFi connection device. According to the WiFi connection method and device, the optimal free WiFi hotspot can be directly and automatically connected, intelligent WiFi connection is achieved, and speed measurement can be performed after connection is performed.

The invention provides a generation method of a site navigation page and a device of the site navigation page, and relates to the field of a network technology. The method comprises the steps of: obtaining site browsing record of a user; classifying the recorded sites according to a site classifying rule; counting the access frequency of each site category according to the record; sequencing each site category according to the counted access frequency of the user to each site category; selecting the sites of a plurality of site categories with previous sequences to be distributed to an appointed position; and selecting the sites in each site category with distributed positions according to the rule to be put into the corresponding position so as to be displayed. The invention is used for classifying each site accessed by the user according to the site classifying rule; counting the access frequency of each category by taking the category as a unit; and distributing the corresponding display place to each category with the previous sequences according to the sequences of the access frequency to be displayed. Therefore, the sites with the categories which are usually accessed by the user can be provided to the user more objectively, exactly and comprehensively.

Disclosed is a transmission project site and line selecting method based on GIS space information. According to coordinates of an area to be selected of a transformer substation and a line design end point, integrated optimization is carried out on the transformer substation and the line. The method comprises the steps of (1) meshing the area to be selected of the site location of the transformer substation, (2) removing the infeasible area of the site location of the transformer substation, (3) automatically generating an initial path of the line of a site location plot, (4) automatically sorting preliminary schemes of the transformer substation line based on the GIS, (5) performing scene investigation, and verifying and optimizing the line path, (6) performing statistic on to-be-compared schemes of the transformer substation line, and (7) performing technical skill comparing and result outputting. According to the site location selection and line path integrated optimizing method based on the GIS space information, the difficulty of manually selecting the site location and the line path at present is avoided, and the functions of automatic selection and sorting of the site location of the transformer substation, automatic generating of the path, statistic of path length and the number of corners, judgment of line complex terrain, technical skill comparing and the like can be achieved.

The invention provides a calculating method and device for a payment route. The calculating method comprises the following steps that when the number of available payment routes is larger than 1, a handling charge, the time for funds to an account and the success rate of each available payment route are calculated according to a payment request of a user; a route strategy corresponding to an application channel is acquired, the payment route which is optimal in the rank is selected from the available payment routes according to the corresponding route strategy and the handling charge, the time for the funds to the account and the success rate of each available payment route to serve as the optimal payment route and cached. According to the calculating method for the payment route, the payment efficiency is higher, the success rate is higher, and meanwhile the requirements of the user can also be met.

The invention discloses a service flow shaping method and a service flow shaping device for a cascaded port of an avionics full duplex switched Ethernet (AFDX) switch. The main problems of relatively stronger switching delay jitter of packets and incapability of transmitting high-priority packets on time in the prior art are solved, and a system can be conveniently cascaded. The method comprises the following steps of: (1) extracting packet scheduling information; (2) extracting the information of a time registry; (3) receiving and scheduling the packets; (4) selecting and sequencing the packets; (5) updating time tags; (6) transmitting and scheduling the packets; and (7) updating a time registry. The device comprises an input caching module, a receiving scheduling module, a time registry module, a packet information storage area module, a time tag module, an output queue module, a transmission scheduling module and an output caching module. The method and the device have the advantages that: the determinacy of the delay jitter of the packets can be ensured; the forwarding delay jitter of the packets can be effectively reduced; the high-priority packets can be transmitted on time; and the method and the device are applied to the traffic shaping of the AFDX switch.

The present invention discloses a system, method and computer program for selecting, ordering, accessing and displaying copyrighted information from physical documents such as printed publications or commercials. The invention allows the management and the direct sale from the editor to the final consumer of electronic information referenced on physical publications while respecting the copyrights attached to this electronic information. According to the present invention, a plurality of particular items (i.e., words, pictures, logos, etc.,) are defined on a physical document. These items are linked to copyrighted hardcopy or softcopy edited objets, such as chapters, notes, pictures, video or audio elements. For identifying and selecting the items defined in the physical document, these items are automatically illuminated by luminous signals (or light spots) generated by an opto-touch foil. The opto-touch foil operates under the control of a user workstation. An illuminated item is selected by the user by pressing the opto-touch foil over the illuminated position of this item. When the user selects a particular item among all illuminated items, the user workstation receives from the opto-touch foil a signal indicating the position of this selected item. The user workstation identifies and locates the edited object associated with the position of the selected item referring to an Edited Objects Table. If the user has already a license for the edited object, and if this edited object is already stored in the user workstation, then this edited object is accessed locally. If the user has no copyright for the edited object, a request is sent through a network to an Edited Objects server, to get a description and ordering information about the selected edited object. The edited object can then be downloaded and stored locally for a fee.

The invention discloses an internet image driven automatic selection method of the optimal view of a three-dimensional model. The automatic selection method comprises the following steps: three-dimensional model set preprocessing; image visual angle classifier training: obtaining a classifier used for estimating an observation visual angle of an image, wherein the step specifically comprises two steps of training set generation and image visual angle classifier training; internet image acquisition: collecting the image of a corresponding model in an internet through a great quantity of images uploaded by an image search engine and a social network, wherein the step specifically comprises three steps of internet image capture, irrelevant image filtering and foreground object image extraction; and view voting evaluation: voting to the views corresponding to the three-dimensional model through the internet image, and selecting the view which ranks higher as an optimal view, wherein the step specifically comprises two steps of internet image visual angle estimation and view sorting. The invention can be suitable for various types of three-dimensional models comprising rigid bodies and non-rigid bodies, and conforms to the visual habits of people.

The invention discloses an automatic selecting method of a three-dimensional model optimal view. The automatic selecting method comprises the following steps of three-dimensional model set preprocessing, candidate view selection, and view evaluation. In the three-dimensional model set preprocessing, each three-dimensional model in a three-dimensional module set which is input is pre-processed so that the types of all three-dimensional models can be obtained, the process of three-dimensional model set preprocessing includes the steps of gesture correction, size scale normalization and three-dimensional model type judgment, and a type identification is set on each three-dimensional model in the three-dimensional model set. In candidate view selection, each view of the three-dimensional model is sampled, features and clusters are extracted so that a set of candidate views of the three-dimensional models can be obtained, and the process of the candidate view selection comprises the steps of three-dimensional view sampling, view feature extracting and view clustering. In view evaluation, the candidate views of the three-dimensional models are sorted, the view which is near the front is selected as an optimal view, and the process of view evaluation comprises the steps of distance computing and optimal view studying. The automatic selecting method is suitable for multiple types of three-dimensional models, and the obtained optimal view of the three-dimensional models with the same type has high posture consistency.

The application provides a method and system for sorting search. The method comprises following steps: obtaining a search word and obtaining texts matched with the search word by means of static sorting index, wherein the obtained texts are used as mass-selection recall texts; obtaining rough sorting feature weight by fitting the pre-counted fine sorting score of the mass-selection recall texts by means of the machine learning method, and calculating the rough sorting score of the mass-selection recall texts by means of the rough sorting feature weight; selecting first M texts which are sorted at front according to the rough sorting score, wherein the selected texts are used as rough sorting texts; calculating the user behavior probability of the rough sorting texts corresponding to the search word and calculating the fine sorting score of the rough sorting texts by means of the machine learning method using the user behavior probability; sorting the rough sorting texts according to the fine sorting score. The application can increase search quality and improve the user search experience.

A method generates a three-dimensional map of a region from successive images captured from different camera poses. The method includes a camera capturing images of the region; designating a subset of captured images as a set of keyframes each having respective sets of image position data representing image positions of landmark points detected as feature points in that image; for a newly captured image, generating a camera pose prediction; selecting an ordering of the landmark points; detecting whether an image region of the new image approximately matches an expected image position of a landmark point based on the predicted camera pose by detecting whether the image region is substantially identical to the image information associated with that landmark point; and refining the pose prediction from the detecting step. The selecting includes performing a statistical test on the landmark points and selecting the ordering according to the statistical test results.

Reducing memory dump data size by: (i) receiving a memory dump data including a set of stack(s), including at least a first stack which includes a current stack portion; (ii) removing from the memory dump data a first removed data portion that comes from a portion of the first stack to yield an optimized memory dump data; (iii) determining respective ranking values for a plurality of ranked data portions from the set of stacks; and (iv) selecting a ranked data portion from the current stack portion of the first stack to be a first removed data portion based, at least in part, upon the ranking values.

The invention relates to the technical field of natural language processing and deep learning, in particular to a document keyword extraction method based on LDA and word vectors, which comprises thefollowing steps of (A) judging whether a document title and content are consistent or not by using a title discriminator, and executing the next step if the document title and the content are consistent; (B) calculating the weight of the theme in the document and the weight of the vocabularies in the document on the theme; (C) calculating the weight of the vocabularies in the document, and sortingaccording to the weight values to generate a candidate keyword set of the document; (E) mapping the vocabularies into a word vector space; (F) calculating the distance between the word vectors in theword vector space, sorting the word vectors according to the distance, and selecting the first M sorted vocabularies as keywords of the document. The invention further discloses an extraction device.Compared with a traditional method, the extracted document keywords are high in precision and high in reliability, the titles and the Chinese characters are filtered out, the interference of noise data is avoided, and accuracy is further improved.

The invention provides a method for ranking and searching polyphones of contacts in a mobile phone. The method comprises the following steps of: judging whether the first polyphonic Chinese character is required by acquiring polyphonic Chinese characters; if so, under the premise of complying with the priority of a conventional phonebook ranking principle, selecting the high-ranking initial consonant ranking in accordance with sequence priority of the polyphones in the alphabet in the light from all initial consonants provided by the polyphone alphabet according to the order priority of the alphabet where the polyphone initial consonant is; if not, complying with the priority of the conventional phonebook ranking principle in accordance with the unique initial consonant provided by the polyphone alphabet; loading contact persons in the telephone directory during search; obtaining the first character of the contact persons; judging whether the first character is a Chinese name, if so, further judging whether the Chinese name contains a Chinese character polyphone; if so, obtaining the first Chinese character polyphone, matching in accordance with first letter of the polyphone and assisting to match all initial consonants and finishing search after corresponding characters are matched; and if not, finishing search after conventional letters are matched. The invention can ensure that information is searched more rapidly and accurately.

An apparatus, program product and method utilize a heuristic-based algorithm such as simulated annealing to order program code segments in a computer memory to provide improved computer performance in terms of memory access, e.g., by minimizing cache misses or other memory-related performance penalties that may be present in a multi-level memory architecture. Program code is ordered in a computer memory by selecting an ordering from among a plurality of orderings for a plurality of program code segments using a heuristic algorithm, and ordering the plurality of program code segments in a memory of a computer using the selected ordering.

The invention discloses a multisource big data fused video monitoring pedestrian identity identification method, which uses the law of consistency of multisource data object space-time behavior to identify the physical identity of a pedestrian by virtue of a communication cell phone number of a monitory point. The main steps includes: observing the number of times of reappearance of cell phone numbers on a monitory point where a specific suspicious pedestrian on a travel path; according to an identification accuracy requirement, determining an appropriate number of observation monitory points; determining the number of pedestrians that reappear including the specific suspicious pedestrian and the number of cell phone numbers that reappear of each monitory point on the travel path; calculating pedestrian and cell phone number reappearance probabilities, and combined probabilities of the two; and ranking according to the combined probabilities, and selecting combinations which are ranked in the front to be output. The method provided by the invention has the advantages of simple calculation, high identification efficiency, strong universality and the like.

Embodiments of the present application provide an industrial internet of things data analysis method and system, and related equipment for reducing dimensions of multivariate time series analysis andrealizing intelligent prediction of parameter indices of industrial equipment based on a multivariate time series model. The method according to an embodiment of that present application includes construct a first matrix according to a time series corresponding to at least two parameter indices, and calculating a correlation coefficient matrix corresponding to the first matrix; calculating eigenvalues of the correlation coefficient matrix and eigenvectors associated with each eigenvalue; calculating a comprehensive weight value of each parameter index according to an eigenvalue of the correlation coefficient matrix and an eigenvector associated with each eigenvalue; according to the comprehensive weight value of each parameter index, selecting the time series corresponding to the preset number of parameter indexes in front of the ranking as the target series; constructing a multivariate time series analysis model according to each of the target sequences; According to the multivariatetime series analysis model, the prediction value of the future period of the parameter index corresponding to each target series is calculated.

The invention discloses a disambiguation method for an interactive Internet entity name. The method comprises three main steps of a pretreatment step, an iterative sorting step and a rendering step; the pretreatment step comprises steps of receiving query information and searching an Internet entity name which is relative to the entity based on the query information, and initially gathering the Internet entity name which is relative to the same entity; the iterative sorting step comprises steps of looping executing the following steps until the terminal condition is met: sorting the Internet entity name according to a sorting module and based on the similar degree of the entity; producing an interactive problem including an item; rendering the interactive problem to a user and receiving the item selected by the user as user feedback; optimizing the sorting module according to the user feedback, and sorting the Internet entity name again; and the rendering step comprises steps of selecting the Internet entity name which is in the most front of the sequence, and generating a summary page relative to the searched entity, and then rendering the summary page for the user.

The invention discloses an integrity processing method based on least square residual error edge detection. The method comprises steps that 1), the least square residual error corresponding to each satellite is calculated; 2), the least square residual errors corresponding to the satellites are ordered, and the front N1 least square residual errors and the back N2 least square residual errors are selected from the ordered ones and are taken as pre-selected fault satellite detection objects; 3), the pre-selected fault satellites determined in the step 2) are sequentially eliminated one by one, user state least square equation solution is carried out, and corresponding post-detection unit weight mean errors are calculated according to the solved residual errors; and 4), the (N1+N2) post-detection unit weight mean errors acquired in the step 3) through calculation are ordered, and a satellite corresponding to the least root mean square of one least square residual error is the fault satellite. According to the method, strict RAIM integrity guarantee is not required, tests prove that the integrity processing method based on least square residual error edge detection can accurately identify the fault satellite, and the integrity processing method based on least square residual error edge detection is a simple, rapid and effective fault satellite identification method for user clients.

The method for communicating structured information, for a example a report or an account, between a first user and at least one second user includes a step of defining a document standard, which determines the general frame of the document in the form of a series of titles and/or conventional meanings and authorized values of certain conspicuous information fields. The transmitting user inputs data to be supplied incorporating a step of inputting text and/or titles as a supplement to the general frame and/or a step of selecting values on the conspicuous fields and transmitting data of the document addressed to the second user. Each recipient user selects a sorting criterion based on the titles or conspicuous fields. The document is then reorganized in accordance with the selected criterion and a step of supplying to the second user the document reorganized in accordance with the criterion.

An Internet group buying method capable of providing specific commodity information for buyers includes the following steps: buyers publish trade information via clients, a server acquires the buying information of the buyers from the registration information of the buyers, determines the consumption tendencies of the buyers for various varieties of commodities according to the buying information, screens out commodity varieties matched matching with conditions from the information published by sellers according to the consumption tendencies, sorts the screened commodity varieties according to a specific algorithm, and sends sorting results to the buyers, the buyers choose corresponding commodities in the sorting results and make group buying requests, the group buying information provided by the buyers is transmitted to the server, the server transmits the buying information of the buyers to the sellers, and the sellers store the trade information and trade conditions of the buyers, count order records, and calculate and send the current prices of the corresponding commodities to the buyers. The Internet group buying method can intelligently analyze the demands of the buyers, and thereby can provide specific commodity information for the buyers, so that the effective intercommunication and connection between the sellers and the buyers are realized.

A method for managing data needed to resolve pointer errors is provided. The method provides for receiving information concerning a pointer error, preparing the information received, submitting a job to select, sort, and format a subset of log and/or trace records such that the subset of records can be analyzed to resolve the pointer error.

The invention discloses a bus load prediction algorithm based on similarity matching of multiple uncertain factors. A correlation factor mapping base is constructed firstly; similarity of all historical days to a day to be predicted is calculated by performing mode matching analysis on recent d days of historical sampling data, and similarity of all the historical days is ordered; and the top n days are selected to act as similar days, and virtual bus load is predicted, based on which all industry load of the prediction day is split. The system load prediction algorithm considering influence of meteorological factors, week types, change of operation modes and other correlation factors is adopted on the basis that the industry load characteristics are parsed by the factors allocated point by point, the key user bus load nodes influencing the whole network load are searched, the characteristic change law of various load components of a power grid is elaborately mastered, load prediction hierarchical management is enhanced, and thus scientific and refinement level of load prediction can be comprehensively enhanced.