177results about How to "Avoid excessive dependence" patented technology

The present invention is directed to a multilayer optical film, for use in a display or component thereof, comprising a substrate having a topmost layer that is an anti-reflective layer having a nano-structured surface, the layer comprising elongated-shaped silica particles. Another aspect of the present invention relates to a method of forming the single anti-reflective layer and its use in various applications including displays and components thereof.

The invention relates to a method for predicting a low-porosity and low-permeability clasolite effective reservoir at a high-diagenesis stage and belongs to the technical field of oil and gas exploration and development. The method is characterized in that a geological process response relationship is established through carrying out analysis, simulation and quantitative evaluation on a geological process affecting porosity, the original pore preservation and induced pore increase / decrease conditions of a reservoir are determined, thus, the current porosity of a low-porosity and low-permeability reservoir at the high-diagenesis stage is quantitatively evaluated, the development of the effective reservoir is predicted, and a basis is provided for reservoir evaluation. The method for predicting the low-porosity and low-permeability clasolite effective reservoir at the high-diagenesis stage has the advantages that the predictability is strong, the distribution of various clasolite effective reservoirs at different stages of high-diagenesis can be accurately predicted, the fine prediction on the distribution of effective reservoirs of a research target section can be achieved, and the predicted unit plane can reach a hectometer level; the theoretical basis is solid, and the condition of over reliance on the data of sampled points in the traditional method is avoided; the quantitative performance is good, the applicability is wide, and the information requirements are relatively low; and the evaluation, with different information foundations, on different exploration and development stages is facilitated.

The invention provides a three-dimensional reconstruction method for binocular stereo vision. The method comprises the steps of performing image pair collection: obtaining images of a calibration plate and an object; performing camera calibration: performing calibration on a camera based on a Zhengyou Zhang calibration method to obtain initial internal and external parameters of the camera; performing stereo rectification: performing rectification on a distortion parameter through epipolar constraint to obtain a rectified image pair; performing image processing: obtaining a region of interest,and balancing brightness difference between left and right images, thereby searching for matching points; performing stereo matching: implementing a multi-grid intensive stereo matching algorithm toobtain a continuous smooth disparity map; and performing point cloud rebuilding and model rebuilding: obtaining a point cloud chart of the object, performing point cloud optimization, and obtaining acomplete object model through triangulation of a greedy algorithm. The smooth model with no obvious difference with the real object can be obtained; and the method can be used for three-dimensional reconstruction of multiple scenes.

The invention discloses a stereo image quality objective evaluation method, which comprises the following steps of: performing singular value decomposition on left and right viewpoint images of undistorted stereo images and distorted stereo images, extracting characteristic vectors of the left and right viewpoint images of the distorted stereo images, and performing linear weighting on the characteristic vectors of the left and right viewpoint images to obtain the characteristic vectors of the distorted stereo images; and training the characteristic vectors of the distorted stereo images of the same distortion type in a distorted stereo image set by using support vector regression, and testing each distorted stereo image of the same distortion type by utilizing a support vector regression training mode to obtain image quality objective evaluation predicted values of each distorted stereo image. The method has the advantages of mapping raw data into a high-dimensional characteristic space and performing linear estimation in the high-dimensional characteristic space to construct an optimal linear function so as to avoid the complex process of simulating the related characteristics and mechanism of a human vision system and improve correlation between objective evaluation results and subjective perception.

The invention discloses a non-reference image quality objective evaluation method based on deep learning. Multi-resolution pyramid and Gaussian difference decomposition is performed on distortion images to be evaluated and then natural statistical characteristics can be extracted by performing simple local normalization on sub-band images without extracting characteristics from a transform domain so that complexity is greatly reduced. Degree of distortion of the images is measured by degree of loss of the natural statistical characteristics with no requirement for reference images or distortion types. The change condition of visual quality of the images under the influence of various image processing and compression methods can be objectively reflected by the method, and evaluation performance of the method is not influenced by the image content or the distortion types and is consistent with subjective perception of human eyes. An existing L moment estimation method is adopted to estimate the distribution parameters of the envelope curve of a gray level histogram, and the distribution parameters obtained through estimation are more accurate and have higher generalization capability.

The photosensitive resin composition of the present invention is an excellent photosensitive resin composition: exhibiting significant transmissibility at the use of an exposure light source of 160 nm or less, more specifically F2 excimer laser light, where line edge roughness and development time dependence are small and a problem of footing formation is improved; and comprising a resin which decomposes by an action of acid to increase the solubility in alkali developer, in which the resin contains a specific repeat unit; a compound capable of generating an acid upon irradiation with one of an actinic ray and a radiation, in which the compound includes at least two kinds of compounds selected from the group consisting of specific compounds (B1), (B2), (B3) and (B4).

The invention provides a method and system for ranking video retrieval. The method comprises the steps of obtaining a result candidate set related to a keyword of a video which is searched by a user according to text description information of the video; recording relevance information of each candidate video in the result candidate set relative to the keyword; deleting videos of the first category in the result candidate set according to video information stored in a first preset database; inquiring and obtaining quality information of each candidate video in the result candidate set where the videos of the first category are deleted from a second preset database, and inquiring and obtaining weight-adjusting information, aiming at the keyword, of each candidate video in the result candidate set where the videos of the first category are deleted from a third preset database; obtaining ranking scores of all the candidate videos in the result candidate set where the videos of the first category are deleted according to the relevance information, the quality information and the weight-adjusting information; ranking the obtained ranking scores of all the candidate videos according to the descending order, and returning the candidate videos corresponding to the first K ranking scores to the user.

The invention discloses an identification method for anomalous points of cooperative synchronization in a distributed network. The identification method for the anomalous points of cooperative synchronization in the distributed network includes: obtaining complete local information by using a small amount of information which is related to positioning and contained in each node and communication of the anomalous points and adjacent nodes, and then using local area network information to estimate the position of a bad point. The identification method for the anomalous points of cooperative synchronization in the distributed network avoids dependence on a reference node in a traditional centralization positioning method, and achieves quick positioning of the anomalous points in a wireless sensor network. The identification method for the anomalous points of cooperative synchronization in the distributed network uses two different correlation coefficient computing methods to perform correlation analysis on the whole network, can obtain the result that which node is the bad point only through a final correlation matrix, and achieves the purpose of quickly positioning the bad point in the distributed network well, and furthermore accuracy rate of the quick positioning reach up to a value above 95%.

A sulfonium salt of a naphthylsulfonium cation having a hydrophilic phenolic hydroxyl group or ethylene glycol chain with a specific anion is provided. The sulfonium salt is used as a photoacid generator to form a resist composition which when processed by immersion lithography, offers advantages of restrained dissolution in the immersion water and less pattern dependence or dark-bright difference.

The invention discloses a remote sensing image scene classification method based on multi-similarity measurement deep learning. The method comprises the following steps: firstly, carrying out classification training on a remote sensing image scene by utilizing a deep convolutional network, and taking the output of the last full connection layer as the characteristics of a remote sensing scene image; secondly, introudicng knowledge of deep metric learning, providing a new loss function, and adding multiple similarity loss items on the basis of traditional cross entropy loss items. According tothe multi-similarity loss item, the extracted full-connection features are mapped to the measurement distance space, and the measurement distance between the input image samples is calculated and constrained, so that the network model is more distinctive, and remote sensing scene images can be more effectively classified. According to the method, the convolutional neural network is utilized to perform feature extraction on the remote sensing image, the deep features obtained through learning cover complete information and have relatively high discrimination, and the features are combined withmetric learning, so that good classification performance can be achieved.

The invention discloses an objective stereo image quality assessment method based on a perception feature set. According to the method, the distortion degree of a stereo image is measured according to the distortion degree of a visual perception feature map, a saliency map, a gradient map and an airspace just noticeable distortion map which are related to viewpoint perception quality are extracted, a disparity map related to third dimension and quality is extracted, distortion degrees of four perception feature maps are taken as features of the stereo image to create the perception feature set, a complicated human vision system is simulated according to a random forest machine learning algorithm, and feature parameters are fused. The objective stereo image quality assessment method has the advantages that change conditions of visual quality under the condition that the stereo image is influenced by various image processing and compressing methods can be reflected objectively, assessment performance of the method is not influenced by the content of the stereo image and the type of distortion, and conformity with subjective perception of human eyes is achieved.

The invention relates to an unsupervised cross-domain pedestrian re-identification method, and the method comprises the following steps: performing pre-training by using a labeled source domain training image to obtain a baseline network weight, and taking the baseline network weight as a baseline network initial weight of a multi-loss optimization learning training process; performing multi-lossoptimization learning training by using the label-free target domain training image, and performing multi-time multi-loss optimization learning training on the basis of the initial weight of the baseline network to obtain a baseline network after multi-loss optimization learning training; performing an unsupervised cross-domain pedestrian re-identification test by using the label-free target domain test image, and inputting the label-free target domain test image into the baseline network subjected to multi-loss optimization learning training for testing to obtain an identification result. According to the method, the natural similarity in the target domain image is concerned, complete dependence on a pseudo label is avoided, and compared with other methods in the same field, the method has higher recognition accuracy.

A sulfonium salt of a naphthyltetrahydrothiophenium cation having a fluoroalkoxy chain with a specific anion is provided. The sulfonium salt is used as a photoacid generator to form a resist composition which when processed by immersion lithography, offers advantages of restrained dissolution in the immersion water and less pattern dependence or dark / bright bias.

The invention discloses a system and method for testing analog input / output modules of a subway train, and the system comprises an upper computer, an MVB controller connected with the upper computer, and an AX testing device connected with the upper computer. The MVB controller and the AX testing device are respectively connected with a to-be-tested AX module. The MVB controller is connected with the to-be-tested AX module through an MVB bus. The upper computer is used for receiving and displaying an input signal of the AX module, processing the input signal and displaying an output signal. The MVB controller is used for the data exchange between the upper computer and the to-be-tested AX module. The AX testing device is used for controlling the input signal of the to-be-tested AX module, receiving and displaying the output signal of the AX module, enabling an output current signal of the AX module to be transmitted to a current input end, detecting a current input loop of the AX module, and giving an alarm for testing results. The system and method simulate the actual conditions of the subway train, and achieve the detection of the AX module. The system is simple in structure, is convenient in operation and maintenance, is low in cost, is accurate in testing, and is low in construction cost.

The invention provides a method for extracting web data from the bottom to the top based on an entity and belongs to the field of network data management. The method comprises the following steps of: selecting a web data page; dividing texts; tagging entity attribute; extracting a repeated mode of an attribute sequence; and simplifying a result mode. By the method for extracting the web data, thestructured data of a complicated web page can be more widely extracted, over-dependence on the page structure in the prior art is effectively avoided, adaptability is good, and accuracy is high.

The invention discloses a stereo image quality evaluation method through parallax compensation and inter-viewpoint filtering. A high-frequency image and a low-frequency image are obtained by performing parallax compensation and inter-viewpoint filtering on left and right viewpoint images of a stereo image, description of the stereo perception characteristics of the stereo image is completed in the frequency domain, and the quality of the stereo image can be more accurately evaluated; two-dimensional wavelet transformation is performed on the low-frequency image, an approximation coefficient matrix, a horizontal detail coefficient matrix, a vertical detail coefficient matrix and a diagonal detail coefficient matrix are extracted to acquire a part of characteristics, and the characteristics can effectively enhance accuracy of quality evaluation of the distorted stereo image; and the mapping relationship between the characteristic vector of the stereo image and the subjective image quality is constructed by utilizing a support vector regression method so that complex simulation of a human visual system working mechanism can be avoided, excessive dependence on the training process can also be avoided and thus the correlation between the subjective quality and the objective prediction quality can be enhanced.

The invention provides an auxiliary learning method and an intelligent desk lamp, and relates to the intelligent field. The method comprises the following steps: S1 when the intelligent desk lamp recognizes that the voice information of a user contains a question keyword, the intelligent desk lamp obtains a question area image through a camera module; S2, the intelligent desk lamp analyzes the questioning content from the questioning area image obtained by the camera module, and obtains the answering content corresponding to the questioning content; S3, the intelligent desk lamp analyzes the subject knowledge point to which the questioning content belongs, and obtains the questioning times of the user for the subject knowledge point; S4, the intelligent desk lamp displays and controls theanswering content corresponding to the questioning content according to the number of times the user asks questions about the subject knowledge point. The invention can provide timely help when students encounter learning difficulties, and can perform display control of the answer according to the number of questions posed by the students, so as to improve the independent thinking ability of the students.

The invention discloses a self-adaptation splicing method of X-ray images. The method comprises the following steps that 1. horizontal image bands of two continuous X-ray images are obtained; 2. the variances of the two horizontal image bands are computed respectively, and a template image and a moving image are determined; 3. the template image and the moving image are registered; and 4. an overlap region nonlinear fusion method is used for carrying out fusion on images, and a new image after splicing is obtained. According to the method, the variances of the gray values of the horizontal image bands selected from the overlap region part of the two X-ray images are compared respectively, a clear horizontal image band with more information is selected in a self-adaptation mode as a template to be registered with another image, then the overlap region nonlinear fusion transition method is used for carrying out fusion on input images, and full-scale splicing is achieved.

The invention relates to the field of educational equipment and provides an intelligent answer interaction method and device. The method comprises the following steps: placing a smartphone at a designated position relative to a test question carrier; the smartphone calls its camera to photograph the test carrier, collects and identifies the test content, and divides the answer area; the smartphonecalls its camera to track the answering tool, and the answering tool records the answering process in the answering time of each question; when the answers are complete, the smartphone uploads the answers to the server. According to the intelligent answering interactive method and device provided by the invention, the intelligent mobile phone is installed at the designated position of the test question carrier, and the answering time and the answering process of the students to each question can be recorded by the intelligent mobile phone, and the answering efficiency can be counted, which not only does not affect the normal answering process of the students, but also greatly improves the statistical accuracy. And it can also upload the process of answering questions, so that students cancommunicate with each other and learn, and the process of answering questions is more relaxed and pleasant.

The invention discloses diesel oil, ethanol and tetrahydrofuran mixed fuel applicable to a diesel engine. The fuel consists of the following components in percentage by volume: 44-46% of diesel oil, 44-46% of ethanol and 8-12% of tetrahydrofuran, wherein the volume percentage purity of the ethanol is 99.5%. According to the fuel, the tetrahydrofuran which is used as a cosolvent is capable of effectively solving the problem that diesel oil and ethanol cannot be mutually dissolved, and in addition, only a small amount of the tetrahydrofuran is needed; because of a relatively high content of oxygen in the tetrahydrofuran fuel, emission of carbon smoke, carbon monoxide and hydrocarbons can be remarkably reduced; in addition, the tetrahydrofuran can be used as renewable energy and is very widein raw material source, so that dependency on petroleum resources can be also reduced to a certain extent; and because of the high volatilization of the ethanol, the oil-gas mixing process before ignition can be promoted, and in addition, since the ethanol self contains oxygen, emission can be also reduced.

The invention relates to the technical field of computers, can be applied to scenes including but not limited to maps, navigation, automatic driving, Internet of Vehicles, vehicle-road collaboration and the like, and discloses a positioning method and device, electronic equipment and a storage medium, wherein the method comprises the steps: carrying out positioning correction processing of a to-be-positioned object in response to a positioning request for the to-be-positioned object, and obtaining target positioning information of the to-be-positioned object, wherein the positioning correction processing comprises the steps: based on the speed measurement data, obtaining intermediate positioning information obtained after the initial positioning information is updated, carrying out iterative correction on the intermediate positioning information by respectively adopting the obtained satellite observation data and the feature point coordinate data, so as to obtain the target positioning information, and displaying the target positioning information corresponding to the to-be-positioned object on an operable page. Therefore, excessive dependence on a single positioning factor is avoided, the positioning precision and robustness are improved, and effective positioning can be achieved in various complex road conditions.

The invention discloses an objective analysis method for just noticeable change step length of stereo images. The objective analysis method comprises the following steps of: training each distorted stereo image in a distorted stereo image set by using different weight proportion combinations to obtain a support vector regression training model of the different weight proportion combinations; testing any test image by utilizing the support vector regression model obtained by training; in a condition that a left-view image has a constant and invariable quality, measuring a critical quality point of a right-view point image when the quality variation of the stereo image is sensed by human eyes so that a maximum variation range in which the quality of the right-view image can be decreased relative to the quality of the left-view image can be determined when the stereo image is coded. The objective analysis method not only can achieve the purpose of improving coding efficiency by decreasing quality of the right-view image, but also ensures that an observer cannot sense the reduction in the quality of the right-view image through a stereoscopic visual masking effect, thereby ensuring the integral quality of the stereo image.

A sintered ceramics for mounting a light-emitting element, which is capable of realizing high optical reflectance over the entire region from ultraviolet radiation to visible light. The sintered ceramics has a light-reflective face of which reflectance to light in each wavelength in the range of 250 nm˜750 nm is 70% or more. The light-reflective face satisfies following reaction:|RA−RB|≦20when reflectance to light of 750 nm is defined as RA%, and reflectance to light of 300 nm is defined as RB. The sintered ceramics has not layer to be peeled from the light-reflective face when a Tape Peeling Test is carried out to the light-reflective face in accordance with the method described in JIS H8504 (1990).

The invention discloses an error positioning method for a distributed dynamic routing network. Three nodes of any two continuous hops in the internet are divided into a collecting node, a suspicion node and a monitoring node. Data traffic is initiated by the collecting node, and after asymmetric encryption is carried out, data are transmitted to the monitoring node through the suspicion node. After the monitoring node receives the data and verification is passed, information is gathered and fed back to the collecting node. The collecting node judges whether the suspicion node has errors or not or whether the suspicion node is a malicious node or not according to the data transmitted to the suspicion node and feedbacks of the monitoring node. By means of the error positioning method, positioning of three errors including data package content damage, node error packet losing and retransmission and node spite delaying and data package out-of-order transmission is achieved.

The invention provides a communication cluster method and device for MMTel (MultiMedia Telephony) applied to a WebRTC (Web Real-Time Communication) system. The method comprises the following steps of sending a request for distributing servers to LBs (Load Balancer); receiving response messages which are returned for the request from the LBs, wherein the response messages carry IP (Internet Protocol) addresses of the servers distributed by the LBs, and recording the IP addresses of the servers, which are carried in the response messages; and connecting to the corresponding server according to the recorded IP addresses of the servers and initiating a business request. According to the method, the excessive reliance on the LB can be effectively avoided, the condition that a client web app cannot work after the LB has a fault is avoided, so that the LB is no longer a system bottleneck, and meanwhile, the distribution capacity of load balancing is improved.