265results about How to "Guaranteed relevance" patented technology

The invention relates to the technical field of information, in particular to a method for recommending information. The method comprises the steps that the feature information, corresponding to an access request, of a current user is extracted when the access request is received, and whether the current user is a new user or not is determined according to the feature information; when the current user is the new user, and hot spots are recommended to the current user according to the historical access record of the current user and the click rate rank; when the current user is an old user, the pre-stored user information and item information are clustered to generate a user cluster; in the user cluster, a first recommending list based on item contents is generated, and a second recommending list based on user-item network collaborative filtering is generated; a mixed recommending list is generated according to the first recommending list and the second recommending list; the information is recommended to the current user according to the mixed recommending list. The real-time performance, accuracy and relevance of the recommending information formed through the information recommending method are improved, and information can be effectively recommended for the user.

The invention provides a production-data-driven dynamic job-shop scheduling rule intelligent selection method and belongs to the manufacturing enterprise job shop production planning and scheduling application field. The method mainly comprises the following steps: introducing a Multi-Pass algorithm simulation mechanism, establishing a job-shop production scheduling simulation platform, and generating production planning and scheduling sample data; screening the obtained sample data and generating a scheduling parameter set; designing BP neural network models for scheduling knowledge learningunder different scheduling targets; optimizing training of the BP neural networks through a new firefly algorithm to obtain NFA-BP models; integrating the NFA-BP models under various scheduling targets into an intelligent scheduling module, which is integrated with a job shop MES system to guide on-line scheduling; manually adjusting online production planning and scheduling deviation and updatingthe scheduling parameter set, and the intelligent scheduling module carrying out online optimization learning; and the intelligent scheduling module adapted to real workshop production status outputting optimal scheduling rules according to current job conflict decision points.

The invention provides a real-time frequency domain super-resolution direction estimation method and a device, and the method comprises the following steps: 1) dividing a linear array for obtaining M1sub-arrays; 2) respectively carrying out beamforming on a time-space two-dimensional signal of each sub-array for obtaining an output beam of each sub-array on the scanning direction; 3) carrying outsynthesis treatment on the output beams of various sub-arrays on the scanning direction for obtaining a multi-sub-array synthetic beam; and 4) and obtaining the target direction according to the multi-sub-array synthetic beam obtained by the step 3). The invention provides the real-time frequency domain super-resolution direction estimation device. The method and the device have the following technical effects: (1) the calculation is highly efficient, the speed is fast, the DSP engineering is convenient to realize, and the real-time treatment can be realized; (2) the method and the device areapplicable to broadband noise target direction finding; (3) the high-resolution beam can be obtained; and (4) compared with the frequency domain beamforming algorithm in the prior art, the method andthe device can obtain beam output with even narrow main lobe and even weak strength of a side lobe, thereby obtaining the target direction estimation with higher resolution.

The invention discloses a data query method and device, and a readable medium, and belongs to the technical field of data processing. In the method and the device provided by the invention, after a query statement in a query request is acquired, the confidence probability of at least one candidate segment can be determined according to a correlation model and a posterior recall quality model whichare obtained by pre-training, and an optimal query result of the query statement is determined according to a query result obtained by querying the candidate segment with the confidence probability meeting the screening condition and a query result obtained by querying by using the query statement. In the data query method and the device provided by the invention, the correlation between the candidate segments and the query statement can be evaluated; the posterior recall quality model can evaluate the ability of the candidate segments to recall documents; and based on this, the candidate segment with the confidence probability meeting the screening condition is used for querying, the number of the obtained recall documents is high, and the relevance of the recalled documents is also large, so that the relevancy of the query results is guaranteed.

The invention relates to a visualized multi mode clinical guide knowledge management system comprises the visualized compiler, web service application server and the knowledge base. It realizes the clinical guide knowledge visualization through process based on medical logic mode, compiling the guide knowledge to support the clinical strategy reasoning, with visualization of knowledge base compilation and updating, ensuring the consistence of the knowledge, meeting the treating process of the clinical doctor for the demand of visual teaching.

The invention discloses a method and device for an expansion query. The method comprises the specific steps of on the basis of an image relevant to a target query, clicking a log to calculate an imageclicking characteristic vector of the target query; on the basis of an image of the target query, clicking the characteristic vector, searching for a similar query of the target query in a preset query set, and obtaining a candidate expansion query set of the target query; matching the target query and all candidate expansion queries with notional words and determiners in a knowledge graph to extract notional words and determiners of the target query and all the candidate expansion queries; combining with the knowledge graph to expanding the notional words and the determiners of the target query and all the candidate expansion queries; matching expansion results of the notional words and the determiners of the target query and all the candidate expansion queries to determine the expansionquery of the target query from the candidate expansion query set. The method and device for the expansion query improve the richness of the expansion query.

The invention discloses an image recognition method, device and a mobile terminal. The mobile terminal comprises a data storage device which stores an image matching set corresponding to a target recognition object, the image matching set comprises a target characteristic set and a corresponding characteristic set to be verified. The method comprises a step of starting a camera to scan a picture to be identified, a step of obtaining an image of the picture to be identified in a scanning area, a step of extracting the characteristic point of the image to generate the characteristic set to be recognized, a step of obtaining an image matching set from the data storage device, and carrying out characteristic matching on the characteristic set to be recognized and the target characteristic set in the image matching set, a step of carrying out characteristic matching on characteristic set to be recognized and a verification characteristic set corresponding to a successfully matched target characteristic set to calculate a verification matching degree if the matching is successful, and a step of determining a target recognition object corresponding to the image matching set included in the picture to be identified if the verification matching degree exceeds a first threshold.

The invention discloses a paging method and paging device in the example. Corresponding page transition arithmetic and web page division arithmetic are arranged aiming at different features of different types of web pages in the division process through division of web page type, thus, carrying out transition from HTML element to XHTML element by adopting different page transition arithmetic for different types of web pages and carrying out division of transition result by adopting different web page division arithmetic make the division result acquired by the example of the invention more scientific and reasonable, thereby reaching the aim of improving experience of user.

The invention provides a low-resolution human face recognition method based on sparse maintaining canonical correlation analysis. The invention combines with the sparsity and canonical correlation analysis idea, and proposes the low-resolution human face recognition method based on sparse maintaining canonical correlation analysis. The method meets the requirements of maximum correlation of the extracted features through employing the canonical correlation analysis idea, achieves the fusion of the high and low resolution human face feature discrimination information, employs the sparsity idea to maintain the structural information, and improves the robustness of high and low resolution human face recognition. The method achieves the effective fusion of the high and low resolution human face feature discrimination information, improves the feature representation and discrimination capability, and meets the requirements of correlation and structural information maintaining.

The present invention provides an advertisement data processing method and device, and an advertisement putting method and device. The advertisement data processing method comprises: performing scene segmentation of video data, obtaining at least one video paragraph data, and distributing only one video paragraph identification for each video paragraph; aiming each video paragraph data, performing scene classification of the video paragraph data and a plurality of advertisement data, and adding corresponding scene class label; distribute advertisement data having the same scene class label for the video paragraph data, and calculating the similarity score between the video paragraph data and each distributed advertisement data; distributing only one advertisement identification for each distributed advertisement, and generating the advertisement score list of the video paragraph data; and establishing a mapping relation between the video paragraph identification of the video paragraph data and the advertisement score list. The association degree between the video paragraph and each advertisement is obtained to provide guarantee for subsequently putting advertisements with high correlation degree.

The invention provides a cancellation system for an echo in VoIP communication. The cancellation system comprises a data synchronization unit, a microphone and an echo cancellation unit, wherein the data synchronization unit is used for synchronously storing played audio data to a first sound channel cache region when a sound card plays the audio data; the microphone is used for collecting environmental sound data and storing the environmental sound data to a second sound channel cache region, and the environmental sound data include near-end voice input data and play data from a loudspeaker; the echo cancellation unit is used for making the audio data stored in the first sound channel cache region serve as the estimated echo and performing echo cancellation on the data stored in the second sound channel cache region. The invention further provides a corresponding method. According to the cancellation system and method for the echo in the VoIP communication, a good echo cancellation effect can be achieved by synchronously caching the audio data played by the loudspeaker and using the cached audio data as the estimated echo for echo cancellation.

The invention discloses a searching method and device applying a label knowledge network. The method comprises the following steps: obtaining a plurality of recommended articles, carrying out label extraction on text information related to each recommended article to obtain one or more corresponding article labels, and determining an article label set formed by all article labels; determining historical behavior data of the user for different articles, analyzing user tags preferred by the user according to the historical behavior data, and determining a user tag set composed of all the user tags; constructing a label knowledge network through the article label set, the knowledge graph and the Word2vec model; generating an article feature vector of the recommended article and a user featurevector of the user according to the article tag set, the user tag set and the tag knowledge network; respectively performing retrieving to obtain related articles or related users through the articlefeature vectors or the user feature vectors. In this way, correlation of recall results of the content algorithm can be ensured, and the defects of semantic limitation and poor expansibility of tag recall results can be overcome.

The invention relates to the field of electronic commerce and discloses a method and a device for offering a matched product based on correlation degree between products. The method and the device for offering the matched product based on the correlation degree between the products are used for improving accuracy of the recommended matched product when a user selects one product. Namely, when the matched product of the targeted product selected by the user is determined, an affair assembly is determined based on the setting time length so that on one hand, effectiveness of formation of affairs is guaranteed and on the other hand, relevance, between the products, contained in the affairs is guaranteed. In the process of calculating the absolute support degree of monomial set and multinomial set of the products, correlative detection is introduced to compensate statistics property shortage of the absolute support degree so that when the best matched relationship between products is determined based on the correlation degree of the products, the accuracy of the matched product determined in effectively improved, and therefore when the matched product of the targeted product is shown to the user, the accurate matched product is offered in time to the user by an electronic commerce website based on requirements of the user, and electronic commerce service quality is effectively guaranteed.

The present invention provides an advertisement injecting method and device in videos, a computer device and a readable medium. The method comprises the steps of after an advertisement request carrying a target video identifier sent by a video player is received, obtaining the video structural information of a corresponding target video according to the target video identifier; according to the video structural information of the target video and a pre-set advertisement base, generating an advertisement array corresponding to the target video; sending the advertisement array to the video player, so that the video player injects the target advertisements according to the advertisement array. According to the technical scheme of the present invention, the advertisements can be configured tothe target video intelligently, at the same time, the relevance of the injected advertisements and the target video also can be guaranteed, thereby being able to improve the advertisement injecting efficiency effectively.

The embodiment of the invention discloses a method and a system for acquiring network resource identifications, which can solve the problems that how to accurately describe the actual content of a resource and fetch the accurate and effective resource identification. The method comprises: acquiring a plurality of candidate identifications of the network resource, the candidate identification comprises one or a plurality of anchor texts, the anchor text(s) is (are) the anchor text(s) corresponding to the link which directly or indirectly points to the network resource storage address; one of the acquired candidate identifications is selected as the resource identification of the network resource. Since the anchor text(s) can more accurately describe the actual content of the resource, good-quality resource identification can be selected, the quality for fetching the identification is improved, and then the quality for searching is improved. In addition, the implementation of the system for acquiring network resource identifications provided by the embodiment of the invention is relatively simple and requires less on the system resource.

The invention relates to a multistage sub-array focusing MVDR wave beam forming method. According to the multistage sub-array focusing MVDR wave beam forming method, a common rapid frequency-domain broadband wave beam forming algorithm and a sub-array focusing MVDR algorithm are combined, a target orientation is firstly and roughly measured through the rapid frequency-domain broadband wave beam forming algorithm, then sub-arrays are divided, finally the target orientation is accurately measured through the sub-array focusing MVDR algorithm, and rapid and high-accuracy wave beam forming is achieved. The multistage sub-array focusing MVDR wave beam forming method includes the steps of 1, firstly completing rapid frequency-domain broadband wave beam forming on data received by a linear array sonar device through one-time time-domain FFT and airspace phase compensation, and completing initial estimation of the target orientation; 2, then carrying out peak detection on a common wave beam forming curve, after a target is found, carrying out sub-array dividing on a frequency-domain array signal, carrying out sub-array focusing MVDR wave beam forming on the orientation nearby the target, carrying out secondary orientation detection, and obtaining the more accurate target orientation. By means of the multistage sub-array focusing MVDR wave beam forming method, the performance of a whole sonar positioning system is improved, and meanwhile the requirements for the real-time performance, the high resolution and the tolerance are met.

The invention discloses a method for objectively evaluating the quality of a degraded reference three-dimensional picture. An evaluation indicator of the method is composed of two parts including left-right view point picture quality and depth sensing. According to the method, the multi-channel character after wavelet decomposition is carried out on a left view point and a right view point of the three-dimensional picture, and the character that a picture category which can be represented by a picture singular value has high stability are utilized, and singular value decomposition is carried out on sub-bands. The characteristics of the picture are extracted through the singular value obtained after decomposition serve as a characteristic value of a semi-reference model. Weighting is carried out on the characteristic values of the sub-bands due to combination of information entropy and contrast sensitivity characters, and a final result is obtained. According to the method, transmission bandwidth needed when the quality of the picture is evaluated is saved effectively while the quality evaluation result is ensured, and advantages and disadvantages of a processing algorithm of the three-dimensional picture can be reflected objectively.

The invention provides an OVT-domain seismic data regularization method based on image processing, and belongs to the field of seismic data preprocessing in oil and gas exploration and development. The method comprises: (1) preparing high-resolution and high-SNR (signal to noise ratio) seismic shot gather data on which dynamic correction is performed, (2) sorting the input seismic shot gather data into an OVT-domain channel gather according to azimuth angles and offset distances of shot gather heads, and (3) performing POCS regularization of an OVT domain to obtain a common midpoint channel gather after interpolation. Three-dimensional seismic data interpolation is performed by utilizing a POCS method of an image processing field, and a conventional inversion process is preplaced by utilizing the Fourier transform iteration to search an advantageous energy; and the method is performed in the OVT domain, adjacent channels in the domain have the same offset distance and azimuth angle information, and correlation of same-phase shafts can be guaranteed.

The invention discloses aspirin pulsed release pellets, its preparation and a preparation method thereof. The pellets comprise blank pellets, an aspirin-containing drug layer, an isolation layer, a regulation releasing layer and a protective layer. The regulation releasing layer contains polyprotic acid and / or its salt, anionic polymer salt, a plasticizer and an antiadherent. The anionic polymer salt is prepared by the following method: dissolving an enteric material, and using alkali to neutralize to a pH value greater than the enteric material dissolution pH value 0.1-3. The protective layer contains the enteric material, the plasticizer and the antiadherent. The enteric material is any one material selected from: an enteric material dissolved at pH value of 4.5-5.5 to prepare pellets I; an enteric material dissolved at pH value of 6.0-6.5 to prepare pellets II; or an enteric material dissolved at pH value of 7.0-8.0 to prepare pellets III. According to the preparation, local drug concentration will not be high, accumulation of the drug inside the body can be reduced, patient compliance can be improved, and stability inside the body can be raised. Therefore, bioavailability and the antithrombotic effect are raised.

The invention involves automatic classification technology, opening classification samples collected optimization method. The method including: access to documents and files associated with the advertisement referred to the correlation between the parameter; if documents and the related ads with relevant parameters predetermined conditions In accordance with the document on the classification of the corresponding type of sample set is optimized. The invention also openly advertising related to the contents of the corresponding server. The invention can be achieved with the implementation of the separate sample set of dynamic optimization to ensure that the ads and the content of documents, and to avoid placing ads less effective because of the waste of resources caused by the issue of addition.

The invention discloses a video evidence preserving and verifying method and device. The method comprises the following steps of obtaining video stream data from a video source; obtaining multiple key frames from the video stream data according to a sequence of video streams; for each key frame, obtaining the time for extracting the key frame, thus obtaining the time stamps of the key frames, wherein the time is time synchronized with a preset time source; calculating the data and the time stamps of the key frames through a preset hash algorithm, thus obtaining the hash values of the key frames, wherein the hash value of a first key frame is obtained by calculating the data and the time stamp of the first key frame and the video information of the video stream data through the preset hash algorithm; generating the verifying values of the key frames according to the hash values and the time stamps of the key frames, wherein the verifying value of the first key frame is generated according to the hash value and the time stamp of the first key frame and the video information of the video stream data; and correspondingly storing the key frames and the verifying values of the key frames.

This invention provides one computer criminal evidence fix and ensuring method, which comprises the following steps: starting suspect devices to modify the suspect Bios set to primordially start the supportive disc; identification step to identify the person for electron evidence; recording device and operating information for evidence person, operation time and evidence medium; data images and property computing for property on the magnetic disc static memory medium for total images; crossly identifying according to fix result and process legality contract to ensure more than two legality evidence person on spot; printing the operation information and signature for final determination to fulfill electron signature and paper signature.

A coils array (40, 40') including a plurality of coils (71, 72, 73) receives magnetic resonance signals from an examination region of a magnetic resonance imaging scanner (10). Each coil has mixing circuitry (74, 75, 76, 80, 81, 82) that frequency-shifts the received magnetic resonance signal to a selected transmission channel frequency. The coils array further includes combining circuitry (90) that combines the frequency-shifted magnetic resonance signals to produce an analog frequency domain multiplexed transmission signal output of the coils array. Receiver electronics (56, 56'') receive the analog frequency domain multiplexed transmission signal from the coils array. The receiver electronics include an analog-to-digital converter (164) that digitizes the analog frequency domain multiplexed transmission signal and digital signal processing circuitry (166) that processes the digital frequency domain multiplexed transmission signal to recover digitized signals corresponding to the magnetic resonance signals received by the plurality of coils.

The invention discloses a full-link monitoring method, device and system based on a block chain. The monitoring method comprises the following steps: firstly, generating a tracking label of a local node based on a tracking mark of a father node of the local node and a calling request of the father node of the local node for the local node, and sending the tracking label and a hash value of the father node of the local node to the local node; secondly, generating tracking data of the local node based on the tracking label of the local node; generating a block identifier of the local node basedon the tracking data of the local node and the hash value of the father node of the local node; generating a tracking mark of the local node based on the tracking label and the block identifier of thelocal node; and finally, based on an asynchronous mode, generating a node log of the node, and repeating the above steps on any node until the call request is completed. According to the invention, the security of full-link monitoring is realized through the blockchain technology, the node logs are collected, and a guarantee is provided for fault processing of a service system.

The invention relates to a news comment automatic generation method and device. The method comprises the steps of taking a news title as original data; preprocessing the news title data to construct training data, wherein the training data is used as input of an LSTM model to train the model; obtaining a pre-trained LSTM model through training the sample data; adding a discriminator into the model; forming a GAN model, and distinguishing the comments generated by the LSTM model from true comments and false comments by using a discriminator, using the LSTM model as a generator to be in game with the discriminator until an output result reaches a threshold value. In order to ensure the context correlation between the output result (comments generated by the model) and news, a gating attention mechanism is applied to effectively process the context information.

The invention discloses an RGB-D video based robot target recognition and localization method and system. The target category is determined and accurate spatial position localization is acquired in a scene through the steps of target candidate extraction, recognition, time sequence consistency based confidence estimation, target segmentation optimization, position estimation and the like. In the invention, depth information of the scene is utilized, the spatial level perception ability of a recognition and localization algorithm is enhanced, the identity and the relevance of a target in a long time sequence target recognition and localization task are ensured while the video processing efficiency is improved through adopting key frame based long-short time time-space consistency constraints. In the localization process, collaborative target localization in a multi-information modal is realized through accurately segmenting the target in a planar space and evaluating the position consistency of the same target in a depth information space. The RGB-D video based robot target recognition and localization method and system are small in calculation amount, good in real-time performance and high in recognition and localization accuracy, and can be applied to robot tasks based on online visual information parsing and understanding technologies.

The invention discloses an escherichia coli dynamic growth monitoring method, and provides a method for realizing registration of an escherichia coli colony image and a previous moment image, which comprises the following steps: enabling the angles of the two images to be consistent, obtaining the centroid position of each colony, and further quickly obtaining the number of colonies in a culture dish; each bacterial colony can be positioned, the size and color information of each bacterial colony at the growth moment is counted, the growth speed is calculated according to the culture time, thegrowth stage of each bacterial colony at each time node is judged, and then a growth curve is obtained; according to the method, a regression model is used for predicting the bacterial liquid concentration according to two variable values of bacterial colony delay period time and growth rate in a logarithmic phase, the bacterial liquid concentration is compared with the concentration obtained bya traditional counting method, and error samples in the experiment process are screened out; based on the characteristics of bacterial colony growth, the regression model is established to accuratelypredict the concentration of the escherichia coli liquid, and compared with the traditional counting method which is easily interfered by the external environment, the method is more accurate, and thereliability of the obtained data is higher.

The invention relates to a polar code bit position selecting method, a device thereof and computer equipment. The method comprises the steps of acquiring a reliability sequence of a bit channel of thepolar code according to the signal-to-noise ratio of the transmission channel of the polar code; determining a length relation between the length of the transmission code word of the polar code and the length of the mother code word of the polar code; according to the length direction, acquiring the number of to-be-coded bits with different properties in the polar code; and according to the reliability sequence, the length relation and the number of the to-be-coded bits, acquiring the positions of the bits with different properties in the polar code in the bit channel. According to the polarcode bit position selecting method, combined selection can be performed on the bits with different properties in the polar code according to the reliability sequence of the bit channel. Compared witha traditional polar code bit position selecting method, the polar code bit position selecting method has advantages of ensuring internal relativity between the bits with different properties in the polar code, and obtaining high realization complexity.

The invention discloses a file informatization management system. The system includes storage space, an index module and a data processing module. According to the system, the order of files in an access directory list is related to a weight value, and the calculation of the weight value is related to access records; in this way, the system is in favor of ensuring the association of the order of the files in the access directory list and the access frequency, and therefore the files accessed frequently is arranged close to the front of the access directory list so as to reduce the search time.

The invention relates to the field of account management, in particular to an account system setting method and system, a computer device and a storage medium. The method comprises: setting up a distributed fabric network structure, invoking the password original cryptogen utility, generating the certificate and key, generating a primary user after the super administrator certificate is bound to the first user, wherein the primary user has the new service permission, the query service permission and the permission to create the secondary user; calling the root certificate to issue the user certificate, and binding the user certificate with the user to generate the secondary user, wherein the secondary user has the new service permission and the query service permission. The Fabric networkstructure of the invention provides policy services such as identity service, access control, authorization management and the like for the block chain network, wherein the secondary users can be registered and registered by the primary users, which ensures the relevance between the users. The secondary users can further refine the functions to avoid the excessive exposure of the primary users, realize the control of the account authority, and ensure the security of the account.