211 results about "Line search" patented technology

A method of allocating resources in the presence of uncertainty is presented. The method builds upon deterministic methods and initially creates and optimizes scenarios. The invention employs clustering, line-searching, statistical sampling, and unbiased approximation for optimization. Clustering is used to divide the allocation problem into simpler sub-problems, for which determining optimal allocations is simpler and faster. Optimal allocations for sub-problems are used to define spaces for line-searches; line-searches are used for optimizing allocations over ever larger sub-problems. Sampling is used to develop Guiding Beacon Scenarios that are used for generating and evaluating allocations. Optimization is made considering both constraints, and positive and negative ramifications of constraint violations. Applications for capacity planning, organizational resource allocation, and financial optimization are presented.

A method and system in a remote computer network for allowing users to customize on-line search engines for on-line data searches. An on-line search engine is provided at a remote network site, such that the on-line search engine may be displayed at local network sites linked to the computer network. An independent user-defined search plug-in program is then designated for limiting the scope of online data searches to particular data subjects, such that the user-defined search plug-in program is called for processing by the on-line search engine during on-line data searches by the on-line search engine at a local network site utilizing search terms. The independent user-defined search plug-in program is subsequently stored at the local network site. Finally, the independent user-defined search plug-in program is automatically linked with the search terms, such that all searches performed by the on-line search engine at the local network site operate according to parameters determined by the user-defined search plug-in program and the search terms.

Systems and methods are provided for performing automated face recognition and comparison. An input image of a face may be received and cropped, and the image may be processed through a deep neural network (DNN) to produce a k-dimensional feature vector. The k-dimensional feature vector may be converted to a k-dimensional binary vector by transforming each value in the vector to either 1 or 0. To search for nearest matches of the image in a database of gallery images of faces, the system may compare sub-strings of the binary vector to hash tables created from sub-strings of the gallery images, enabling sub-linear searching that allows locating the closest matches from among the entire gallery without requiring an exhaustive linear search of the entire gallery.

The invention relates to an information on-line searching method adopted on information devices such as computer, mobile phone and so on. A text string on a computer screen is transformed into a searching string via mouse searching actions such as moving a mouse pointer or dragging and dropping the mouse and so on. And a mouse searching operation is processed automatically and corresponding immediate on-line searching result is displayed on a mouse searching window. Clicking a special searching key can activate a keyboard searching window and in a course of inputting the searching string, a keyboard immediate on-line searching is processed automatically and corresponding immediate on-line searching result is displayed. Clicking a return key can process to determine on-line searching and then a corresponding searching result web page is displayed in a browser window.

The invention relates to an on-line killing virus device and method based on the network. An on-line killing virus device is used for the user's terminal and the server terminal through the checking and killing for the local computer system of the network. The invention is characterized in that the user's terminal contains a user's terminal program module, and the server terminal contains a server terminal program module. Among these, the user's terminal program module uploads the document waiting for checking virus or a calibration valve of the virus document, and receives the checking result returned from the server terminal program module; the server terminal program terminal checks and kills the virus for the virus documents according to the information from the calibration valve checking the virus document or using virus engine, and returns the checking result to the user's terminal program module. The invention makes the on-line killing virus deploy simply without installing a big volume virus library at the user's terminal and without updating the virus data at the user's terminal, which provides with a quick checking virus service.

A parking assist device detecting a parking stall line from an image, which is captured by a capturing portion; setting a parking target position on the basis of the parking stall line; and assisting the vehicle to travel to the parking target position; the parking assist device includes a vehicle detecting portion for detecting a movement of the vehicle, a memorizing portion for memorizing the movement detected by the vehicle detecting portion, as a vehicle moving trajectory, a temporary parking target position estimating portion for assuming a temporary parking target position on the basis of variations of the vehicle moving trajectory, which has been memorized by the memorizing portion, and a parking stall line searching area setting portion for setting a parking stall line searching area, within which a parking stall line is searched on the basis of the temporary parking target position.

A vehicle includes: an image acquisition means (4) which acquires a road image via an imaging means (3); an edge extraction means (5) which extracts edge points from the acquired image; a line search means (6) which searches the extracted edge points for line components; an evaluation value calculation means (7) which calculates an evaluation value indicating the degree that each line component approximates a linear lane mark on the road for the line components searched for; a lane mark candidate selection means (8) which selects line components each having an evaluation value greater than a predetermined threshold value as candidates for a line component corresponding to the lane mark from the line components searched for; and a lane mark detection means (9) which detects the lane mark by determining the line component corresponding to the lane mark from the selected candidates for the line component. This allows the detection accuracy to be increased by preventing an object other than a lane mark on the road from being incorrectly detected as a linear lane mark such as a white line when detecting a linear lane mark such as a white line from the road image.

The invention belongs to the technical field of image processing, and provides a method for recognizing a lane line. The method includes the steps of conducting binarization preprocessing on an obtained video image, then researching possible pixels of the lane line and simulating the possible pixels which produce the lane line at the same time, finally, producing a lane line search area, looking for lane points in a search band, and fitting and drawing the lane line. According to the method for recognizing the lane line, a counting process is simple, the recognition accuracy rate is high, actual using needs are effectively met, the lane line can be dynamically tracked so that the running status of a vehicle can be recognized, a reliable guarantee is provided for safe and reliable driving of a driver, practicability is strong, strong popularization value and application value are achieved.

The invention discloses a high-resolution remote sensing image search method fused with spatial relation semantics and the method comprises two parts, namely the off-line treatment of remote sensing image and the on-line search of the remote sensing image. In the off-line treatment part, the visual features of the remote sensing image is firstly extracted and the visual feature, spatial object semantic and spatial relation semantic features are stored in relational database. In the on-line search part, the searching is performed according to the object semantic feature of the image to obtain a rough search result; then a template image is selected from the rough search result, further searching is performed to the rough search result according to the visual feature of the template image and the spatial relation semantic feature to return to the visual feature and the spatial semantic feature and assemble with the similar images of the selected template image, and the searching process is completed. As the method comprehensively uses the visual feature of image and the spatial object semantic and spatial relation semantic features, higher search precision can be obtained.

The invention discloses a searching method and a system for identifying user retrieval intention and is applied to the field of information retrieval. The method comprises the following steps: receiving a retrieval request of the user; calculating three measurements, namely the intention characteristic similarity of the retrieval request, entity word association and syntax pattern similarity; determining the user retrieval intention of the three calculated measurements; and searching according to the determined user retrieval intention and outputting a searching result. According to the embodiment of the invention, the similarity between the retrieval words and intention characteristic library is considered, the special function of the entity word and an integral retrieval syntax structure are considered, the retrieval keywords are locally and integrally subjected to intention identification, the information support is provided for a search engine as much as possible, and the method does not completely depend on the result information of the on-line search engine and is easy to realize.

Methods, apparatuses and systems directed to predicting the performance of an information package or module presented on a network addressable resource, such as a web page. A particular implementation relies on regression models that utilize statistical measures of user interest in terms, concepts and other subject matter as revealed in on-line search activity of a pool of users. A model receives as inputs a plurality of attribute values corresponding to an information package or module (including one or more statistical measures of interest) and outputs an estimated click-thru rate.

The invention discloses an intelligent auditing method and system based on big data. The method comprises the steps of data acquisition, acquiring cloud auditing basic data including dynamic data associated with an enterprise and market big data according to an auditing project, updating basic data on a real-time basis; data processing, processing the basic data to obtain first data for data analysis; data analysis, analyzing the first data according to auditing requirement based on corresponding auditing model to obtain second data which are used for enterprise production and operation decision making and management; and data storage, storing the second data in a distributed cloud storage means for future calling. The method and system realizes on-line auditing, and dynamic data and market big data are acquired through on-line searching. On-line dynamic auditing is realized, and data which are used for enterprise production operation decision making and management can be obtained by processing data according to auditing requirement based on corresponding auditing model. The benefit of an enterprise is taken into consideration, and real-time and high-efficient service can be provided for the enterprise lifecycle.

The invention relates to a rotor unmanned aerial vehicle coverage search flight path planning method for a polygonal region having a no-fly zone, wherein the method comprises the steps: step 1, determining a coverage direction, wherein the direction from a polygon width-corresponding top point to edge is a coverage direction for realizing shortest-path polygon region coverage searching; step 2, transforming a coordinate, taking an X axis of a new coordinate system (OX'Y') as a coverage direction, and making an origin point of the new coordinate system (OX'Y') the same as an origin point of an original coordinate system; step 3, according to the transformed to-be-covered polygon region and obstacle, carrying out Boustrophedon searching unit decomposition; step 4, determining an alternative optical grating line search flight path set of each searching unit; step 5, determining the sequence and the flight path of each searching unit of the unmanned aerial vehicle based on a greedy strategy; and step 6, carrying out coordinate inverse transformation, transforming flight path points into flight path points in the original coordinate system through coordinate inverse transformation, and thus obtaining an original task searching flight path. The method ensures optimal property of understanding while reducing the time consuming of calculation.

The present invention discloses an embedded index based hydrological time series similarity searching method. The method is carried out by the following steps: calculating corresponding embedded index vectors of each position in an original time series in an off-line preparation stage, wherein in the off-line preparation stage, the hydrological time series flood peak segmentation, serial clustering, initial reference sequence set generation, reference set training and time series embedded index calculation are realized; and calculating the index vectors by using a query sequence and a reference set sequence in an on-line searching stage, performing searching in an embedded index Euclidean vector space of the original series to find a relatively similar point as a candidate point set, refining candidate points, and then performing original DTW (dynamic time warping) measurement to find a final similar sequence. According to the embedded index based hydrological time series similarity searching method, the similarity searching is mapped to the Euclidean vector space to perform searching, thereby greatly improving the search efficiency.

The invention discloses a platform and method for automatically generating a design schematic diagram of an automatic test system, wherein the platform comprises an input module for instrument device resource and connection constraint relationship, a database module, a database management module, a parameter selection and pre-processing module, an automatic layout module, an automatic routing module, as well as a drawing result display and storage module. A user inputs data via the input module for instrument device resource and connection constraint relationship; the parameter selection and pre-processing module is used for grouping and grading instruments according to the parameters selected by the user; the automatic layout module is used for performing an automatic layout operation; and the automatic routing module is used for finishing a routing operation. The method disclosed by the invention is mainly provided for finishing an automatic layout based on a method of intersecting the fewest lines, and finishing the connection among instrument ports by applying a target-oriented line search routing algorithm according to the selection of information types by the user. The platform and the method disclosed by the invention can realize rapid and efficient layout of the instrument model, and satisfy the drawing demand of the design schematic diagram in actual application.

The invention provides an electronic seeing-eye dog robot which is composed of a mechanical portion and an electronic portion. The mechanical portion comprises a vehicle body, a steering engine, a steering engine connecting mechanism, a direction wheel, an orientation wheel, a rotational joint, a hand pushing rod and an antenna mast. The electronic portion comprises an infrared sensor array, a voice module, a photoelectric switch, a geomagnetic sensor, an accelerometer module, a remote control receiving circuit, a central processing unit, a circuit base plate, a voltage stabilizer, a serial port circuit, a GPS module, a loudspeaker, a nickel-metal hydride battery, a remote controller, a camera and a GPS signal receiver. Autonomous navigation can be carried out through satellite positioning, course correction, posture detection and sidewalk line searching, the operation is carried out through remote control, related navigation information is broadcast through voice, the robot can automatically walk around a barrier, and the navigation service can be provided for a blind person or a visually-impaired person in the outdoor environment.

The invention discloses an on-line touch-and-talk pen system, which comprises a scanning module, a storage module, an on-line searching module and an output module, wherein the scanning module is used for scanning feature information of books to be read; the storage module is used for receiving and storing the feature information transmitted by the scanning module; the on-line searching module is used for realizing connection of the storage module and a network on-line high-volume database; data information matched with the feature information stored in the storage module is acquired through on-line searching; and the output module is used for outputting data information acquired by the on-line searching module, and playing the data information in a phonetic form. The on-line touch-and-talk pen system is combined with an on-line searching function, the books are scanned, and the features of the books are extracted, and through on-line searching matching, the corresponding information data are acquired, are fed back to the storage module, are output and are subjected to voice playing, so that random touch reading on any book is realized, the application range is enlarged, and the practicability is strong. The invention also provides a touch reading method of the on-line touch-and-talk pen system.

A Virtual technology transfer Office and method for a) accessing a secure on-line system for entering, retrieving, displaying, editing, storing and printing technology transfer and intellectual property information; b) utilizing voice commands or manually entered numeric, alpha or alphanumeric characters to navigate through the an on-line electronic interactive environment. c) Performing instantaneous on-line searching, ranking and scoring of invention disclosure based on relevant prior art; d) working on the internet or on-line meeting place alone or with others. e) Drafting or revising documents alone or in tandem in a virtual meeting place; f) Sending and receiving electronic notifications; g) Sending and receiving messages; h) Creating, reviewing, revising, attaching and printing documents; i) Searching Patent & Literature Bases instantaneously or immediately; j) creating and sending electronic bids to contract attorneys; compiling, ranking and selecting attorneys for the work; k) accepting and responding to electronic bids from contract attorneys; l) accepting and responding to invoices from contract attorneys; m) generating technology transfer and intellectual property documents n) filing of patent and trademark applications electronically; o) and submitting federal patent reports electronically.

The invention discloses a simplification method for the optimal cutting machine control strategy search of electric system transient stability, and belongs to the technical field of electric system emergency control. On the basis of an EEAC (Extend Equal Area Criterion), according to the analysis results and the difference of a SEEAC (Static EEAC) algorithm and a DEEAC (Dynamic EEAC) algorithm, an anticipatory fault set is classified on the basis of transient stability severity; a diffset which is identified as an unstability class is subjected to a simplification operation by utilizing an intermediate result subjected to margin calculation through the SEEAC algorithm and the DEEAD algorithm during identifiction; meanwhile, a cutting machine control strategy checking index is designed to check the effectiveness of each cutting machine and guide a simplification method and a traditional method to switch so as to guarantee that the obtain cutting machine control strategy is optimal. The method can enable most parts of diffsets which are identified as the unstability class to obtain the optimal cutting machine control strategy by applying the simplification method without adding other calculation amounts, and has a great theoretical and engineering meaning for the on-line search of the electric system transient stability.

The invention relates to a network resource load balance method, which combines the advantages of integrated nearby node search and forward search, while the transfer source node can search needed resource in 2-hop range, to transfer the load; and it only leads in the AWI transmission protocol between non-cooperated nodes. In the non-cooperated network, the invention can improve the load balance ability of network resource, improve the resource search efficiency, and improve the transfer success.

A method for iteratively inverting seismic data to jointly infer a model for at least P-wave velocity and attenuation parameters of the subsurface, the method including: jointly inverting the P-wave velocity and attenuation parameters with an iterative visco-acoustic full wavefield inversion process, wherein the iterative visco-acoustic full wavefield inversion process includes computing a gradient of an objective function, the objective function measuring a misfit between all or part of the seismic data and corresponding model-simulated seismic data; for each of the P-wave velocity and attenuation parameters, computing a search direction in model space from the gradient; determining line search step sizes α and β for the search directions for the P-wave velocity and attenuation parameters, respectively, wherein a ratio of the step sizes is a function of the P-wave velocity parameter; and using the step sizes α and β and the search directions for each of the P-wave velocity and attenuation parameters, computing a new search direction in model space, then performing a line search along the new search direction to arrive at a new step size, and using the new step size and the new search direction to generate an updated model for a current iteration of the iterative visco-acoustic full wavefield inversion process.

The invention discloses an image depth estimation method and system based on a CNN (Convolutional Neural Network) and a depth filter. The image depth estimation method comprises the steps of obtainingimage depth estimation values based on the CNN, extracting local features points from the image, and establishing a minimum photometric error equation to solve the relative pose of a camera; optimizing the camera pose based on the feature points matched by polar line searching, selecting an image block by taking the feature points as a center, performing polar line searching on the image block toobtain the optimum matching, constructing a bundle adjustment equation according to the optimum matching to optimize the relative pose; and performing depth value filtering based on the camera pose,namely, filtering depth values by adopting Gaussian integration until the depth values converge. The image depth estimation method overcomes a problem of inaccurate image depth and a problem of absolute scale loss of monocular vision, and can be applied to many fields such as three-dimensional scene reconstruction, indoor positioning and augmented reality.