66results about How to "No redundancy" patented technology

An enlargement feature of a graphical user interface (GUI) is disclosed. When a portion of a digital image displayed in the GUI is selected for enlargement, an enlarged version of the selected portion is displayed adjacent to the remaining portion of the original image that was not selected for enlargement. The digital image may include a plurality of image portions (e.g., individual display windows) selectable for enlargement, such as those found in a CATV electronic programming guide (EPG). In one embodiment, hidden supplemental data corresponding to the selected portion is only revealed in the enlarged version of the selected portion, so that it can be more easily viewed. In another embodiment, an enlargement feature application program is downloaded to a local device that controls the GUI, in response to a subscriber accepting an offer presented by a service provider.

The invention belongs to the technical field of image processing, relates to the POLSAR image processing technology, and discloses a polarization image sorting method based on tensor decomposition and dimension reduction. According to the method, polarization data and a polarization characteristic quantity matrix are utilized for setting three-dimensional polarization characteristic tensor, low-dimension characteristic tensor is obtained according to the dimension reduction method based on tensor decomposition, training samples are selected from the low-dimension characteristic tensor for classification of an SVM, and on the basis of not destroying the space relation between the structure of the three-dimensional polarization characteristic tensor and adjacent pixels, redundancy between the characteristic quantities is removed, dimension disasters are avoided, the classification effect is well improved, and the efficiency and robustness of the algorithm are improved. The polarization image sorting method based on tensor decomposition and dimension reduction can be applied to classification of various complex terrains.

A matrix data access method is disclosed that includes following steps: the data storage space containing the presetting high-dimensional matrix is processed by dimensionality reduction to convert into two-dimensional matrix data storage space, and the two-dimensional matrix data storage space is divided into the separated two-dimensional matrix data storage subspace; the storage type of data in the high-dimensional matrix data storage subspace: the high-dimensional matrix is reduced to low-dimensional matrix, the storage type in every two-dimensional matrix data storage subspace: from left to right, from upper to lower, stored according to the modulus; the two-dimensional sub matrix data storage space is mapped to several physical memories in the data storage model, the data in data block of the two-dimensional sub matrix data storage space is read from the corresponding address of every memory in the several memories according to the matching requirements. The invention also provides a matrix data storage device. The invention is high storage effect and can satisfy the requirements for storing the various types of data.

The invention provides a character recognition device and a method. The character recognition device comprises a feature vector extraction unit which extracts feature vectors of a character image from a training character image or a character image to be recognized; a training unit for carrying out study according to a training sample set which is composed of the feature vectors of the training character image and output by the feature vector extraction unit, thereby obtaining a plurality of sparse support vector machine classifiers; a storage unit for storing a training result of the training unit; and a recognition unit for calculating outputs of various sparse support vector machine classifiers to the feature vectors of the character image which is ready to be recognized and output by the feature vector extraction unit, thereby determining a character which is corresponding to the character image to be recognized; wherein, the training unit reduces the number of support vectors in decision functions of the sparse support vector machine classifiers by introducing 0-norm regularization items into target functions of the sparse support vector machine classifiers.

The invention relates to a WEB backdoor detection method and system based on a relevance tree. The WEB backdoor detection system comprises a link relevance tree generation module and an attack real-time detection module. The detection system does not depend on antivirus software or file feature detection software, instead, initiative crawling and access record collecting are conducted on WEB links first, a link set of all URLs of a WEB is established through analysis and process, and the link and skip relation of the URLs is marked in a computerized algorithm in a tree mode, so that a link relevance tree is formed. If a backdoor URL request does not exist in the link relevance tree, a security monitoring module of the system gives an alarm, and the attack request is stopped. By means of the detection method, the safety of WEB application is improved, the problem of WEB backdoor attack which can not be detected and prevented by security products such as the antivirus software and a firewall is solved, the university is good, there is no need to mount software programs on a WEB server, and the type of the WEB server, WEB programming languages, customer usage and the like are all made to be transparent.

The invention discloses a narrow-band discrete distribution parabolic equation method for forecasting ASF with high precision. The method specifically comprises the following steps: firstly, sampling a loran-C current time-domain signal; performing discrete fourier transform on the sampled signal; decomposing the sampled signal into a plurality of frequency current components; adopting a flat ground formula for calculating a magnetic field irradiated by each frequency current component in a near zone; calculating a far zone magnetic field by regarding a magnetic field result at a boundary of a near-far zone as an initial field for a discrete distribution parabolic equation method for an uneven grid part, thereby acquiring the magnetic field generated by each frequency current component on the earth surface; and lastly, adopting fourier inversion on the basis of sliding window thought, thereby acquiring a time-domain magnetic field signal recovered by the frequency domain magnetic fields irradiated by the frequency current components on the earth surface. The method provided by the invention can overcome the defect that the present theory is difficult to forecast practical long-distance loran-C signal ASF distribution. Compared with the existing frequency domain method, the method has the advantage that the forecast precision is obviously increased and has the characteristic of high practicability.

The invention is applicable to the field of computer vision, and provides a pose estimation method and device based on a rectangular identifier and a robot. The method comprises the steps of carryingout distortion correction on image coordinates of the four corners of a rectangular sign through the internal parameters and the distortion parameters of a camera, outputting the four angular points after the distortion correction; randomly selecting three angular points from the four angular points after distortion correction to serve as solving points of the P3P algorithm, and the other corner point serving as a check point to generate four groups of points, for the case of the TS4, obtaining two sets of solutions for each set of points, carrying out verification through the remaining points, so as to obtain eight groups of solutions; and selecting the point with minimal reprojection error as the final estimated pose. Compared with the current P3P algorithm, in which three points are randomly selected to serve as calculating points and the remaining point as a verification point, the method has more theoretical completeness. Redundancy can not be caused; and the calculated pose is accurate.

The invention relates to a redundancy-free anti-interference coding method, which is a high-efficiency coding method capable of improving data packet transmission efficiency and belongs to the technical field of data communication transmission coding. In the method, a coding matrix for coding is determined; the size of the coding matrix is determined at first according to the number of data packets to be transmitted and the number of receivers; and the size of a finite domain with elements in the coding matrix, operations in the finite domain and element values in the coding matrix are determined according to the requirement of no redundancy of the coding matrix to achieve minimum coding operating complexity. By the coding method, the data packets are coded by utilizing the coding matrix, and a coding process is realized by performing vector inner product operations on data packet vectors and row vectors of the coding matrix. The coding method has the advantages of avoiding redundancy coding in the coding process and ensuring that the receivers can accurately decode the data packets in a packet loss network, along with low coding realization complexity and vast application background.

The invention provides a message authentication method and device. According to the message authentication method and device, when a table item which corresponds to user information carried in a received message, is judged to exist in established and authenticated user tables, the message is forwarded directly, it can be guaranteed that a CPU does not repeatedly receive the message transmitted by an authenticated user or repeatedly trigger the authentication device to conduct authentication to the message transmitted by the authenticated user, so that impact to the CPU is reduced, and authentication efficiency of messages is improved.

The invention provides an image processing method, device and equipment and a storage medium, and relates to the field of image processing. The method comprises the steps: obtaining a to-be-processedoriginal image, carrying out the corresponding processing of the original image according to an inputted first image processing operation, and displaying a processed real-time effect picture; obtaining a target real-time effect picture confirmed by a user from the real-time effect picture, and calculating a transformation parameter of the target real-time effect picture relative to the original image; and receiving a second image processing operation performed on the original image, obtaining a transformation parameter corresponding to the original image, performing corresponding transformation processing on the original image according to the transformation parameter, and performing corresponding processing of the second image processing operation. According to the technical scheme, a user can carry out one-time transformation processing on the selected original image according to the transformation parameters obtained through transformation processing in advance, and the problems that the operation process is tedious and the storage space is occupied due to the fact that the user repeatedly carries out transformation on the original image multiple times to obtain a new image aresolved.

The invention discloses a test result processing method, which relates to the field of data management. The method includes the steps of obtaining test bug detailed information; receiving the user's selection of the bug information and the corresponding display mode, and obtaining the target bug information and the corresponding target display mode; carrying out output setting of the target bug information corresponding to the test bug detail information by the target display mode to obtain a test report. This method can automatically summarize and analyze the test results by setting the corresponding output of the acquired test bug details, which greatly facilitates the user to view the test results and analyze the subsequent test reports. The invention also discloses a test result processing device and apparatus, a readable storage medium and a memory software test system, which have the above beneficial effects.

The invention provides a layered doped step type weak coupling gain equalization four-mode erbium-doped optical fiber. The refractive indexes of the fiber core and the cladding of the optical fiber are integrally kept in a step type, the fiber core part is two or more layers of concentric circles which are adjacent in sequence, and the erbium-doped concentrations of the layers are different. The part with insufficient refractive index or surplus of each layer is supplemented or eliminated through co-doped elements. According to the optical fiber, under the condition that the number of modes isclose to that of transmission optical fibers, the mode gain difference is effectively reduced, and the good mode gain equalization characteristic is achieved. Meanwhile, due to the proper selection of the refractive index and radius of the optical fiber, the refractive index difference between the modes is large, the mode crosstalk is effectively reduced, and the application in optical communication and optical wavelength division multiplexing systems is facilitated.

The embodiment of the invention provides a chip test method, a device, electronic equipment and a computer readable storage medium, and relates to the field of integrated circuit design. The method comprises the steps of determining original simulation data of a to-be-tested chip and a target test module of the to-be-tested chip; determining target simulation data corresponding to the target test module in the original simulation data; and testing the target test module according to the target simulation data. The embodiment of the invention provides a new chip test method, the software design of the test method is independent of the logic function development of the chip, the consistency of the chip from design to release is ensured, the development efficiency of the chip is improved, and the reliability of a chip test result is ensured by adopting a simulation data post-processing mode.

The invention relates to a vehicle management method and system based on wireless geomagnetic detection. The method comprises a step of carrying out grid setting on a parking space and forming a coordinate grid parking space, a step of scanning the whole grid parking space and recording the coordinate information of the parking space, a step of tracking and recording movement coordinate information of wheels in grids in real time when the vehicle enters into a side line of the parking space, and a step of filtering continuous information and sending the filtered information to a base station. The invention also relates to a system which comprises a parking space setting unit, a geomagnetic detection unit and an information processing unit. Through a mode of carrying out grid coordinate calibration in a field of the vehicle parking space in the invention, the geomagnetic detection can only carry out information collection on the vehicle accurately, and the vehicle is not interfered by other vehicles or other geomagnetic detection.

The invention relates to a non-redundant massive terrain data organizing and reading method, which is characterized by comprising the following steps of: firstly, performing uniform block division on original terrain data; secondly, constructing a file RowFile and a file ColFile to store vertexes of shared sides between terrain blocks; and finally, constructing a terrain sub-block file to store the inner vertexes of the blocks. A redundant area of the terrain sub-block is singly stored, and different terrain sub-blocks share the redundant area. Meanwhile, the method eliminates data redundancy, well solves the problem of too much waste of storage space, and is a method suitable for organizing and storing massive terrain data.

The invention relates to an annular LBP texture generating method. The method includes: extending into a 2*2 four-point mode by using one specific pixel point as the left upper corner, and performing weighted coding according to the clockwise side of the four pixel points to serve as the feature value of the specific pixel point. The annular LBP texture generating method is good in extracting effect, fast, short in operation time, and wide in application range, and no information redundancy is generated.