1734results about How to "High similarity" patented technology

There is disclosed an encoding device capable of improving similarity between the high frequency band spectrum of the original signal and a new spectrum to be generated while realizing a low bit rate when encoding a wide-band signal spectrum. The encoding device has sub-band amplitude calculation units (122, 128) for calculating the amplitude of the respective sub-bands for the high frequency band spectrum obtained from the wide-band signal. A search unit (124) and a gain codebook (125) select some sub-bands from a plurality of sub-bands and only the gain of the selected sub-bands is subjected to encoding. An interpolation unit (126) expresses the gain of the sub-band not selected, by mutually interpolating the selected gains.

A unique method is disclosed for identifying and replacing immunoglobulin surface amino acid residues which converts the antigenicity of a first mammalian species to that of a second mammalian species. The method will simultaneously change immunogenicity and strictly preserve ligind binding properties. The judicious replacement of exterior amino acid residues has no effect on the ligind binding properties but greatly alters immunogenicity.

A mosaic image resembling a target image is composed of images from a data base. The target image is divided into regions of a specified size and shape, and the individual images from the data base are compared to each region to find the best matching tile. The comparison is performed by calculating a figure of visual difference between each tile and each region. The data base of tile images is created from raw source images using digital image processing, whereby multiple instances of each individual raw source image are produced. The tile images are organized by subject matter, and tile matching is performed such that all required subject matters are represented in the final mosaic. The digital image processing involves the adjustment of colour, brightness and contrast of tile images, as well as cropping. An image description index locates each image in the final mosaic.

An autonomous vehicle includes a travel vehicle main body, a model data storage, a photographic device, a search region determiner, an image feature point detector, a feature amount calculator and a position detector. The travel vehicle main body autonomously travels to a target position. The model data storage stores model data related to a geometric feature of an object. The photographic device photographs a periphery of the travel vehicle main body at the target position to acquire image data. The search region determiner predicts a position of the object based on the image data, and determines a search region of a predetermined range including the predicted position of the object. The image feature point detector detects a feature point of the image data with respect to the search region. The feature amount calculator calculates a feature amount of a matching candidate point extracted from the feature point. The position detector matches the feature amount of the matching candidate point with the model data to recognize the position of the object based on the image data.

The invention discloses a conversion method for sound of a speaker. The method comprises a training stage and a conversion stage, wherein the training stage comprises the steps of respectively extracting a fundamental frequency characteristic, a speaker characteristic and a content characteristic from training voice signals of a source speaker and a target speaker, constructing a fundamental frequency conversion function according to the fundamental frequency characteristic, and constructing a speaker conversion function according to the speaker characteristic. The conversion stage comprises the steps of extracting a fundamental frequency characteristic and a spectrum characteristic from a voice signal to be converted of the source speaker, using the fundamental frequency conversion function and the speaker conversion function obtained in the training stage to convert the fundamental frequency characteristic and the speaker characteristic extracted from the voice signal to be converted, obtaining the converted fundamental frequency characteristic and the speaker characteristic, and synthesizing voices of the target speaker according to the obtained converted fundamental frequency characteristic, the speaker characteristic and the content characteristic in the voice signal to be converted. The method is easy to realize, and the converted sound quality and similarity are higher.

The invention discloses a short-term load prediction method based on similar day segmentation and an LM-BP network. According to the method, through quantitative calculation of comprehensive correlative coefficients between meteorological factors and a historical load curve corresponding to a to-be-predicted day, the load curve of the to-be-predicted day is segmented, and according to prediction load curves within different time intervals, corresponding similar days are separately figured out; selection of the similar days is conducted through comprehensive consideration of a multi-feature similarity judgement standard of tendency similarity and shape similarity which are based on historical day meteorological similarity and historical load data. A similar day sample with the highest similarity is selected form historical data of the same kind; different neural network models are constructed through different training samples within different load prediction time intervals, and therefore the prediction precision of the neural network models is further improved. By means of the method, the calculation speed and convergence speed of a prediction algorithm are increased.

The invention discloses a target identification and capture positioning method based on deep learning, and belongs to the field of machine vision. The method comprises the following steps that: firstly, utilizing a Kinect camera to collect the depth and the color image of a scene; then, using a Faster R-CNN (Regions with Convolutional Neural Network features) deep learning algorithm to identify ascene target; according to an identified category, selecting a captured target area as the input of a GrabCut image segmentation algorithm; through image segmentation, obtaining the outline of the target so as to obtain the specific position of the target as the input of a cascade neural network for carrying out optimal capture position detection; and finally, obtaining the capture position and the capture gesture of a mechanical arm. Through the method, the instantaneity, the accuracy and the intelligence of target identification and positioning can be improved.

A device for generating fusion images by fusioning two images, in particular medical images, comprising an image-processing computation unit (2) for fusioning the images, as well as a monitor (3) connected thereto for image output, a gray-value histogram (7, I, II) being displayable on the monitor (3) for each image of the images to be fusioned, which device is designed in such a way that, in each gray-value histogram (7, I, II) of the images to be fusioned, one or more gray-value ranges can be selected by user-controlled highlighting of one or more markings (8) on the monitor (3), as well as for generating the fusion image with the aid of the selected gray-value ranges.

The invention discloses a fuzzy hashing algorithm-based malicious code detection system and a fuzzy hashing algorithm-based malicious code detection method. The system consists of a client and a cloud server. The client calculates a fuzzy hash value of an object to be detected, and transmits the fuzzy hash value to the cloud server. The cloud server compares the fuzzy hash value with fuzzy hash values of known normal files, and determines that the object to be detected is a normal file if one of obtained similarities is higher than a white list threshold value. The cloud server compares the fuzzy hash value with fuzzy hash values of known malicious codes, and determines that the object to be detected is a malicious code if one of obtained similarities is higher than a blacklist threshold value. The client transmits back the whole object to be detected under other conditions, and the object to be detected is further detected by adopting the conventional cloud searching and killing method. Compared with the conventional cloud-based malicious code detection technology, the method and the system have the technical effects of larger data transmission size, lower network resource consumption and better malicious code detection effect.

The invention provides an image shooting method and device. The method comprises the following steps: selecting an image shooting template according to a user instruction; acquiring posture features of a shooting object in a capturing picture; comparing the posture features of the shooting object in the capturing picture with the posture features of the shooting object in the image shooting template to obtain posture similarity; shooting as the posture similarity reaches a preset threshold. According to the technical scheme, the image shooting method and device are able to help a user shoot a picture in which the posture is the same as that of the image shooting template and has higher similarity.

A document is classified into at least one document class by selecting terms for use in the classification from among terms that occur in the document. A similarity between the input document and each class is calculated using information saved for every document class. The calculated similarity to each class is corrected. The class to which the input document belongs is determined in accordance with the corrected similarity to each class.

The invention discloses a double exposure implementation method for an inhomogeneous illumination image. The double exposure implementation method for the inhomogeneous illumination image comprises the following steps: obtaining an illumination image; obtaining a reflection image; overlaying the illumination image with the reflection image to obtain the global enhancement effect; fusing the global enhancement effect with the original image; and carrying out color correction on an enhancement result to obtain a visual matching image. According to the double exposure implementation method for the inhomogeneous illumination image, which is disclosed by the invention, the smooth property of the illumination image is constrained, and the reflection image is sharpened by the visual threshold value characteristic to guarantee the detail information of the image; with an image fusion method, the luminance, the contrast ratio and the color information of an original image luminance range can be effectively kept; because the characteristic of the human eye visual perception of average background brightness is introduced in, the fused image can be used for effectively eliminating image color distortion near a shadow boundary; the color of a low-illuminance zone is restored by the color correction technology; the colors of the low-illuminance zone and the luminance range are free from obvious distortion; the continuity is good; and the visual effect is more nature.

The invention discloses a government services cloud access control method based on attribute encryption. A central authority determines all attributes of a system, permits or revokes attribute authority management authority, and authenticates administrative staff; an attribute authority receives the login of administrative staff in the jurisdiction thereof and is simultaneously responsible for attribute revocation of the administrative staff; a cloud server stores data and carries out semi-decryption on an encrypted file when a user sends out a data request; a data uploader makes an access control strategy according to the security level of the file, and encrypts and uploads the file after name signing; and an access user sends out a data access request and finally decrypts the encrypted file. By adopting the attribute encryption scheme, the loads caused by user attribute revocation and encrypted file updating are reduced, the trap door information capturing of the user is controlled, and attribute revocation is carried out on the user under the condition that the encrypted file is not changed; in addition, by utilizing the name signing and attribute encryption scheme based on the identity, the safety authority of the user and fine-grained access control are realized.

Sweetener having an improved sucrose-like taste and process for the preparation thereof and use thereof. A sweetener having improved sucrose-like taste which contains at least one synthetic sweetener or a mixture of different artificial sweeteners and at least one deoxysugar, in particular rhamnose or fucose. A process for the preparation of this sweetener and use thereof for the production of artificial sweeteners for table use, for sweetening foods and for improving flavor development in foods

Disclosed are methods and systems for enabling analysis of communication content while preserving confidentiality. In one embodiment, communication content is processed to increase the similarity of superficially dissimilar instances of communication content and/or to increase the distinctiveness of superficially similar instances of communications content. In this embodiment at least part of the processed communication content is hashed to obscure the actual communication content. In one embodiment, social network analysis is performed on the communication content after hashing, and visualization of the social network analysis includes thread graphs and/or circular graphs.

The invention discloses a generative-adversarial-network-based blurred face reconstruction method and system. The face reconstruction method comprises: acquiring a training sample and to-be-re-reconstructed data; carrying out generative adversarial network training on two convolutional neural networks by the training sample to obtain an optimized-target-based generative network model; and acquiring a blurred face from the to-be-re-reconstructed data, inputting the blurred face into the generative network model to carry out de-blurring reconstruction of the face, thereby obtaining a clear face.The face reconstruction method and the system have the following beneficial effects: a phenomenon that the image obtained by using an interpolation method is too smooth is avoided; the image recovered by the model becomes clear and more high-frequency details are provided; because no frequency domain method is needed, a phenomenon that the frequency-domain data are lack of correlation is avoided;and the blurred face or shielded face can be reconstructed rapidly and the definition and similarity are high. In addition, the face reconstruction system is composed of an acquisition unit, a modelgeneration unit, and a face reconstruction unit; and the face reconstruction system has the same beneficial effects as the face reconstruction method.

The invention discloses a self-adaptation camouflage design method based on a background. According to the method, on the basis of a texture synthesis algorithm based on pixels, a whole camouflage image is synthesized pixel by pixel; in the synthesis process, a self coding algorithm is adopted to extract a texture primitive containing background sample complete texture features, and a neighborhood of the pixels to be synthesized is determined; by means of the neighboring correlation principle and a helix supplement search mechanism, a neighborhood matched with a target pixel neighborhood is searched for in a background sample; similarity matching is carried out through a pixel and texture similarity matching rule, pixels in the neighborhoods which are most similar in the sample are selected to serve as synthesis pixels, pixels of a target image are synthesized according to the sequence of scanning lines, and after synthesis, color quantization is carried out on the image by means of the clustering algorithm to generate a final camouflage image. By means of the method, similar camouflage images can be synthesized quickly according to the background, and the application aim of quickly camouflaging a target in a self-adaptation mode can be achieved.

Similarity between the distinct documents/programs is determined by comparing their respective control flow or other labeled transition graphs. The determination of similarity involves creating a combined measure of similarity based in part on a measure of local similarity between the graphs and in part on a measure of step similarity between the graphs. Local and step similarity are computed conventionally. A linear programming problem involving the local and step similarity measures is formulated and solved conventionally to yield an overall similarity score representing similarity of the graphs as wholes. The score is compared to a predetermined threshold and an alert is issued if the score exceeds the threshold. The alert allows for further action, such as further examination of a particular computer program if it is believed to be a possible virus in view of a high similarity score resulting from comparison to a known computer virus.

The embodiment of the invention discloses a searching method and device based on artificial intelligence. The method comprises the steps of obtaining at least one candidate document related to a searching sentence; determining a searching word vector sequence corresponding to a segmented word sequence of the searching sentence and determining a candidate document word vector sequence corresponding to the segmented word sequence of each candidate document in the at least one candidate document; executing the step of similarity calculation on each candidate document in the at least one candidate document; selecting a preset number of candidate documents as searching results from the at least one candidate document according to the sequence of the similarity with the searching sentence from large to small. According to the searching method and device based on the artificial intelligence, the candidate documents and the searching sentence are represented into a semantic vector through a neural network model, then according to similarities between a candidate document semantic vector and a searching sentence semantic vector, the candidate document is ranked, and the relevance of the searching results which are called back and the searching sentence input by a user is improved.

The invention provides a human face cartoon generation method based on feature point localization. The method comprises the steps that the feature points of an input image are obtained, the feature points comprise symbolic face contour points; eyes, eyebrows and a nose in the input image are subjected to overlapping partitioning respectively; optimum matching blocks are searched for all blocks in a human face image block base, a cartoon block in a cartoon image block base corresponding to each optimum matching block is a found cartoon matching block; the cartoon matching blocks are combined to form whole organ blocks, organs are placed to the corresponding positions of the input image according to the positions of the feature points; a face contour and a mouth are placed to the corresponding positions of the input image according to the positions of the feature points; hair is placed to the corresponding position of the input image; coloring is carried out on a cartooned image, and a final human face cartoon is generated. According to the generation method, the feature points are used for partitioning the input image, and accordingly the optimum matching blocks are found to be combined to form the whole organs, and a human face similar to a real human face can be well formed quickly.

The invention discloses a simulating device for fluid flow safety evaluation of oil-gas pipelines. The device comprises a multiphase flow circulating system, a separating system, a fluid injecting system and a waste gas recovery system. The device disclosed by the invention emerges on the basis of fully considering the current fluid flow safety hotspot problem and is capable of simulating a low-temperature high-pressure environment to carry out the fluid flow safety evaluation of the oil-gas pipelines, wherein the evaluation content comprises oil-gas pipeline blockage caused by problems such as hydrate and wax deposit and the oil-gas transmission safety problem caused by pipeline corrosion. The device disclosed by the invention is not limited to the evaluation content and can also be used for exploring the research on the evaluation of multi-phase fluid flow regularity, hydrate inhibitor performance and the like. The device disclosed by the invention has the characteristics of reasonable structure, ingenious design, operational flexibility, accuracy in measurement and the like.