93results about How to "Avoid screening" patented technology

In a user interface method, system and device in a multitasking environment, it is possible for a user to view all of a plurality of simultaneously executed applications by assigning different display areas to the plurality of applications. In the method, system and device, priorities of applications already being executed and of additional applications for which execution is requested are determined, and a display area size is determined and assigned to each application according to its priority. The system comprises a set-top box for performing the latter functions and a user terminal for transmitting a user request, while the device comprises a control unit for performing the latter functions.

The invention discloses a preparing method of east Asia Tityus antibiotic peptide gene and appliance, which comprises the following steps: restructuring bacillus coli Escherichia coli DH5a/BmKAMP1, CCTCC NO: M207036; constructing east Asia Tityus ioterium cell cDNA library; choosing PCR method; sieving positive colony of scorpion antibiotic peptide gene from ioterium cDNA library; sequence-analyzing coding trait of antibiotic peptide gene; assuring amino acid sequence of the antibiotic peptide gene; adopting chemosynthesis antibiotic peptide; possessing inhibition of diverse density for Gram's bacterium. This antibiotic peptide possesses specificity and high active, which can be used as antibacterial drugs.

The invention discloses a video service experience quality identification method based on encrypted traffic data. The method comprises the following steps: acquiring an encrypted traffic file and corresponding event information when a video is played; processing the event information to determine the QoE level of the playing;preprocessing the encrypted traffic file to obtain TCP stream data; constructing an end-to-end deep learning model by taking the QoE grade as a label and the TCP stream data as a feature; The model can identify the QoE level of video playing according to the encrypted traffic file. According to the video QoE level identification method provided by the invention, the video QoE level can be accurately identified, and a fully automatic scheme is provided.

A method for downloading resource data includes the steps: querying the resource data to obtain a download address set of the resource data; obtaining the download grade of each download address in the download address set according to log data, and sequencing download addresses according to the download grade; and extracting the download address set to be downloaded from the sequenced download addresses, and downloading the resource data according to the extracted download address set. By the method and the system for downloading the resource data, after the download address set of the resource data is queried, the download grade of each download address in the download address set is obtained according to the log data, the download addresses are sequenced according to the download grade, and then users needing to download the resource data can select from the sequenced download address set so as to download the resource data, so that the users can download through the download addresses with high service quality, and download efficiency is greatly improved while download stability and effectiveness are also enhanced.

A method for analyzing sludge microbiocoenosis construction of municiple sewage plant relating PCR-DGGE technology analytical method for sludge microbiocoenosis construction of municiple sewage plant is disclose. It includes: DNA extracting, PCR amplifying, PCR product concentrating, DGGE electrophoretic separating to obtain DGGE map. It is characterized by two DNA extracting to obtain general DNA, taking 2-5g sludge sample, sludge DNA extracting by DNA extract, adding DNA extract etc. centrifugal collecting supernatant fluid in sediment, adding mixed liquor of chloroform and isopentanol, centrifugal pooling, DGGE electrophoretic separating by denaturing gradient 30%-60% polyacrylamide gel to obtain DGGE map. It achieves time saving and low cost.

The invention discloses a loan qualification screening method, a device and a computer readable storage medium. The method comprises the following steps of acquiring the basic information of a customer at a loan application terminal and adopting the basic information as the loan checking information; comparing the loan checking information with the preset screening information, and judging whetherthe loan checking information and the preset screening information are matched or not; if the loan checking information and the preset screening information are matched, judging the loan qualification of the customer corresponding to the loan checking information is qualified. According to the technical scheme of the invention, the screening information of each loan product is preset. When the comparison result of the loan checking information of the customer and the preset screening information are consistent, the loan qualification of the customer is judged to be qualified. That means, thecustomer has the qualification of applying the loan product. The screening and the checking of multiple loan qualifications are avoided, and both the time cost and the labor cost are saved. The information of the customer is matched with the loan product, so that the pertinence is high. The service efficiency and the loan conversion rate can be improved, and the repayment risk is reduced.

The invention relates to a method for extracting microbes from Daqu liquor, in particular to a method for extracting DNAs of fungi and bacteria in Maotai-flavor Daqu liquor and the use of the method in liquor identification.

The present invention discloses a fire remote alarm system based on the internet of things. The system comprises a sensor configured to monitor whether fire occurs or not; a wireless emission device connected with the sensor and configured to determine signals of the sensor and emit the signals of the sensor; a mobile terminal configured to receive signals emitted by the wireless emission module and remind a user of occurrence of fire; and a camera connected with the wireless emission module and configured to shoot fire frames. When the sensor sends signals, the wireless emission module transmits the signals to the mobile terminal to remind the user of occurrence of the fire, the mobile terminal controls the camera, and the camera is configured to perform confirmation of scene frames to determine whether the fire occurs or not and determine whether alarm is performed or not. The design mentioned above is employed, a condition of the sensor misjudges the fire is avoided, the fire remotealarm system based on the internet of things can directly select the nearest fire station for alarm, and therefore, a process is avoided that a fire extinguishing system performs screening, and fireemergency time is saved.

The present invention relates to an indicator-array-based anion detection method used for the detection of multiple anions in water. Under the circumstance of certain concentration of an organic dye, chelates of different color gradients can be obtained by adding different amounts of same metal ion, and a sensor array is constructed by different concentrations of metal chelates; with the aid of the principle that anions in a water solution can be reacted with a metal to precipitate and even further reacted to produce a complex, metal ions can be replaced from the colored chelates, and the color changes. Due to different reaction equilibrium constants of different anions and a same indicator, the purpose of distinguishing of the anions can be achieved. By use of the method, whether S<2->, F<->, Cl<->, Br<->, I<->, CrO4<2->, PO4<3->, and C2O4<2-> anions in water exceed sewage or drinking water national discharge standards can be quickly determined, and by use of cluster analysis, principal component analysis and other mathematical statistic methods, unknown anions can be qualitatively or semi-quantitatively analyzed.

The invention discloses a business query method, a business query device and a business query system of CPE (customer premises equipment), an ACS (auto-configuration server) and the CPE, which are used for solving the problem that the processing efficiency of the ACS and the CPE is low due to the fact that the query process is complex and tedious, mass gibberish is interacted, and plenty of processing resources and network width are occupied in the existing technology for querying the business of the CPE. The business query method comprises the steps of packaging a query condition designated by a user into a request for acquiring a data model value and sending the request to the CPE designated by the user by the ACS; analyzing the received request for acquiring the data model value to obtain the query condition packaged in the request for acquiring the data model value by the CPE, and querying according to the query condition to obtain a query result conforming to the query condition; packaging the query result into a response aiming at the request for acquiring the data model value and sending the response to the ACS; analyzing the response to obtain a query result packaged in the response by the ACS.

Embodiments of the invention provide a feature business object mining method, a feature business object display method, a feature business object mining device and a feature business object display device. The mining method comprises the following steps: when receiving a feature business object loading request sent by a client, querying business objects according to the loading request, wherein the business data of the business objects includes permission parameters for business processing; acquiring the fluctuation information of the permission parameters when the business objects process business; determining a feature business object from the business objects according to the fluctuation information; and pushing the business data of the feature business object to the client for display. According to the embodiments of the invention, display is visual, the trend of business objects in business processing can be displayed, users do not need to carry out screening manually according to the business data, operation is much easier, energy and time consumed by users are reduced, and the cost of business processing is reduced.

The invention relates to an English word sense disambiguation method based on a phrase structure syntax tree, and belongs to natural language processing. The method comprises the steps that 1, phrase structure syntax analysis is conducted on a sentence, and a phrase structure syntax tree of the sentence is generated; 2, word sense relevant words are screened by taking the phrase structure syntax tree as the basis; 3, a word sense disambiguation model is constructed, and correct word sense is determined by evaluating the intimate level of word sense of ambiguous words and the word sense relevant words; 4, parameters of the word sense disambiguation model in the step 3 are optimized according to a word sense tagged corpus through a genetic algorithm; 5, the step 1 and the step 2 are repeatedly conducted on words to be subjected to disambiguation, and correct word sense of the ambiguous words is determined through the optimized word sense disambiguation model obtained in the step 4. According to the English word sense disambiguation method based on the phrase structure syntax tree, the phrase structure syntax tree is utilized for screening the word sense relevant words and giving disambiguation weight to the word sense relevant words, interference of noise words can be reduced, the computing accuracy of word sense relevancy is improved, and the accuracy of English word sense disambiguation is improved.

An embodiment of the invention provides a picture classification method and a picture classification device, which subtly utilize the principle that splicing positions among pictures are edges, namely, edge intensity of corresponding rows or columns of the splicing positions among pictures is maximum. The picture classification method comprises the steps of: firstly, acquiring a horizontal edge graph and a vertical edge graph of a picture; acquiring edge intensity of each row and edge intensity of each column of the picture according to the horizontal edge graph and the vertical edge graph; calculating a repetition period of the edge intensities of the rows and a repetition period of the edge intensities of the columns of the picture according to the edge intensities of the rows and the edge intensities of the columns of the picture; and judging whether the picture is a multi-picture spliced picture according to the repetition period of the edge intensities of the rows and the repetition period of the edge intensities of the columns. Therefore, the manual screening of the multi-picture spliced picture from massive pictures is avoided, and the picture auditing efficiency is improved.

The invention provides an inter-phase power differential control circuit and method for a battery energy storage system. The circuit part includes a phase-A sub-circuit, a phase-A sub-circuit and a phase-C sub-circuit. Any one or more sub-circuits among the phase-A sub-circuit, the phase-A sub-circuit and the phase-C sub-circuit include a power module and a battery pack. The power module includesn cascaded power sub-modules. The battery pack includes n battery modules. The power module can convert a set DC signal into an AC signal, and includes a power module DC side and a power module AC side. The power module DC side is electrically connected with the battery pack through a DC cable. The power module AC side is connected into a set high-voltage power grid. Decommissioned battery moduleswith poor consistency can be well integrated into the same energy storage system.

The invention discloses a mechanical wear particle identification method, which comprises the following steps of: inputting a training sample of mechanical wear particles into a convolutional neural network (CNN) model for training to obtain a CNN feature extractor for the mechanical wear particles; extracting a feature vector in the training sample according to the CNN feature extractor; inputting the feature vectors into a support vector machine (SVM) classifier for training to obtain a hybrid convolutional neural network model; and through the hybrid convolutional neural network model, inputting the feature vector of the to-be-tested sample of the mechanical wear particles into a trained SVM classifier to identify the abrasive particle type of the to-be-tested sample. In addition, the invention further discloses a mechanical wear particle recognition device, electronic equipment and a storage medium. By the adoption of the method and device, screening of wear particle characteristic information in a manual mode is avoided, and the type of the wear particles can be accurately identified.

The embodiment of the invention provides an image searching method and device, and the method comprises the steps: obtaining a first request and a first face image, and enabling the first request to be a request which is sent by a first user and is used for indicating friend searching; wherein the first face image is a preset front face image; obtaining preset face five sense organs in the first face image, calculating first similarity between the first face image and second face images of a plurality of registered users in a database, and calculating second similarity between the preset facefive sense organs in the first face image and the preset face five sense organs in the second face images of the plurality of registered users; calculating a similarity absolute value according to thefirst similarity, the second similarity, the weight of the first similarity and the weight of the second similarity, and screening out a target registered user of which the similarity absolute valueis greater than a preset value from the plurality of registered users; And recommending the target registered user to the first user. According to the embodiment of the invention, the problem of low security of personal information on a friend-making platform in the prior art can be solved.

The invention discloses an efficient and environmental-friendly wood chip treatment device for wood processing. The environmental-friendly wood chip treatment device structurally comprises a wood chipfeeding hopper, a wood chip compressor, a particle screening device, a discharging hopper, mute moving wheels, a coupler protection cover, a device support base, a coupler and a driving motor. Sincethe particle screening device is mounted on the wood chip treatment device provided by the invention, processed wood chip particles can be automatically screened and poured out from different discharge openings, so that the wood chip particles are effectively classified and the situation that the processed wood chip particles are screened manually in the later stage is avoided. Therefore, the workload of an operator is reduced and the practicability of the device is improved.

The invention relates to a construction method and application of a PCSK9 humanized mouse model. According to the invention, CDS (NM _ 174936.4) of a PCSK9-201 transcript corresponding to a fragment of a PCSK9-201 gene in a mouse is selected and subjected to human-derived gene replacement on the mouse; a positive F1-generation mouse is obtained through the steps of designing, construction and purification of a targeting vector, in-vitro transcription, microinjection of Cas9/sgRNA, identification and hereditability detection of an F0-mouse and the like; and the expression of humanized PCSK9 inthe hPCSK9 mouse and the blood lipid level of the mouse are verified, and verification results show that the hPCSK9 mouse constructed according to the method disclosed by the invention can successfully and well express a humanized PCSK9 protein, the LDL-C level of blood in a background state is normal, and the humanized PCSK9 protein can be adopted as the humanized animal model to induce a hyperlipidemia disease model and can be used for the screening and the drug effect evaluation of targeted PCSK9 humanized antibodies or drugs.

The invention discloses an unmanned aerial vehicle shooting control method, which comprises the following steps of S10, a navigation platform sending first route track information to an unmanned aerial vehicle, and the unmanned aerial vehicle performing navigation operation to reach an end point position corresponding to the first route track information; S20, receiving the real-time position information, judging whether the real-time position information is matched with the final position or not, and if yes, receiving a first shooting type selected by the user and sending the first shooting type to the unmanned aerial vehicle; s30, after the unmanned aerial vehicle receives the first shooting type, starting a shooting function to shoot to obtain a first picture, and screening the first picture according to the first shooting type to determine a second picture; and S40, the unmanned aerial vehicle sending the second picture to a ground control terminal. According to the invention, theuser can quickly obtain the wanted picture through the shooting of the unmanned aerial vehicle, and the subsequent manual screening process of the shot picture is avoided.