48 results about "Regional block" patented technology

The invention discloses an image division method based on a watershed-quantum evolution clustering algorithm. The method has the following processes: (1) blocking and processing an input image to be divided, and seeking characteristics of a regional block as a clustering dataset; (2) setting population scale, number of distinct categories k and halt conditions, and randomly generating an initial quantum chromosome Q (t) as an initial clustering center; (3) observing the Q(t) to be a binary system chromosome p (t), calculating a fitness function value f<k> of each chromosome and reserving individuals in the current group; (4) carrying out mutation operation on the Q (t) to obtain Q<M>(t); (5) quantum crossover Q<M>(t) to obtain the Q<C>(t); (6) observing the Q<C>(t) to be a binary system chromosome p <c> (t) to obtain offspring chromosomes; (8) judging the halt condition of the offspring chromosomes, dividing an image kind which the chromosome with the highest affinity degree in the offspring chromosomes is corresponding to as output results if the halt condition is met, otherwise returning the process (3). The method has the advantages of good regional consistency, accurate edge preservation and can be used for target recognition in the image processing field.

The invention discloses a certificate authenticity verification method and device, a computer device and a storage medium. The method comprises the adopting a CTPN-RNN algorithm to locate the originalcertificate image, obtaining the text line area, and truncating the image corresponding to the text line area to obtain the region block image; using the OCR recognition model to recognize the regional block image and obtain the corresponding target text; based on the certificate type and the corresponding position identification of the regional block image, obtaining the corresponding content verification rules, and using the content verification rules to perform the content verification on the target text corresponding to the regional block image, and obtaining the content verification result; checking the target text corresponding to the area block image and the standard text in the database corresponding to the certificate type to obtain the data checking result; carrying out the chromatic aberration check on the original certificate image to obtain the chromatic aberration check result; if the content verification result, data verification result and color difference verificationresult are passed, verifying that the original certificate image is true certificate, which solves the problem of inaccurate certificate verification.

The invention provides methods for matching the dynamic range of image signals, in particular relates to methods for processing the image signals, aims at solving the problem of influenced image quality of the prior art, which is caused by the reason that the dynamic range of a digital image in a computer can not be well matched with the dynamic range of digital output equipment. The invention mainly adopts two methods: in the first method, the brightness signal of the image signal is extracted and then is processed by the steps of blurring, adjustment, stretching transformation, and the like, and detail signals in the brightness signal are correspondingly processed, so that the dynamic range of the digital image can be matched with the dynamic range of digital equipment; or in the second method, the brightness signal of the image signal is extracted and is divided into regional blocks; after being initially adjusted, the brightness signal of pixel in each regional block is processed by the operation of weighted average, so that the dynamic range of the digital image can be matched with the dynamic range of digital equipment. The methods can be used for processing the digital image so as to output high quality images.

The invention provides a stereo-hyperspectral human face recognition method based on auroral imaging, for solving the technical problems of poor recognition result stability and low recognition efficiency of conventional multi-spectral human face recognition methods. The stereo-hyperspectral human face recognition method comprises the following steps of: 1, using an auroral spectrum system to collect human face Information; 2, carrying out stereo reconstruction of a human face according to a two-dimensional auroral image in the human face information; 3, diving the two-dimensional human face into regional blocks, and dividing the three-dimensional human face and human face spectrum information into regional blocks according to the division result; 4, extracting comprehensive feature vectors of the regional blocks; 5, for many human faces and the to-be-recognized human face, adopting the step 1 to the step 4 to obtain sample library data and to-be-recognized human face data; 6, training the sample library data to get a classifier; 7, inputting the to-be-recognized human face data to the classifier, and identifying the human face. The stereo-hyperspectral human face recognition method of the invention has the characteristics of good stability and high identification efficiency, and can be used to authenticate an identity for financial transaction, security defense, customs clearance and the like.

The invention discloses a device for a mobile terminal to access a webpage. The device comprises a thumbnail generator, a structure processor, a noise eliminator, a page blocker and a page tailor, wherein the thumbnail generator generates a thumbnail picture in a joint picture group (JPG) format according to a WEB page of a WEB website and transmits the thumbnail picture to the page tailor; the structure processor processes codes of the WEB page of the WEB website into a document object model (DOM) tree and transmits the DOM tree to the noise eliminator; the noise eliminator trims the DOM tree and transmits the trimmed DOM tree to the page blocker; the page blocker generates a regional Block according to the trimmed DOM tree and transmits the Block to the page tailor; and the page tailor analyzes the Block to acquire a threaded code, a picture and characters and transmits the threaded code, the picture, the characters and the thumbnail picture to the mobile terminal. The invention also discloses a method for the mobile terminal to access the webpage. After the embodiment provided by the invention is applied, the mobile terminal can access the WEB webpage without being influenced by hardware performance of the mobile terminal.

The invention provides a pedestrian gender identification method based on regional blocks. The pedestrian gender identification method provided by the invention comprises: at first, detecting a pedestrian in a picture, then dividing the detected pedestrian into a head, an upper half body and a lower half body according to a certain rule, respectively extracting color features, gradient histogram features and edge gradient features of the parts, and training a gender classifier according to these features to identify the gender of the pedestrian through the classifier. The pedestrian gender identification method provided by the invention is used for identifying the gender attribute of the pedestrian through descriptions on the clothing, the hair style and the outline of the pedestrian, compared with the existing methods by extracting facial features, the challenge caused by obscure human face in the picture can be effectively avoided, the pedestrian genders in a monitoring picture and other scenes can be quickly and effectively identified based on the method of extracting general features of the pedestrians, and thus having very high robustness for different monitoring scenes.

The invention discloses a graph theory and semi supervised learning combination-based image segmentation method. According to the method, data are mapped to a kernel space by using a kernel principal component analysis method; an image is binarized, and then, the binarized image is segmented into a certain number of regional blocks; each image region obtained after the segmentation is adopted as one node; and the acquisition of multi-angle data, the establishment of a prediction matrix, the construction of a training model and the segmentation of the image are carried out through a semi supervised learning method. With the method of the invention adopted, the accuracy of image segmentation can be improved, the promotion of the development of pattern recognition, computer vision, artificial intelligence and the like can be facilitated.

The invention relates to a quick 4*4 block intra-frame prediction mode selecting method. The method comprises the following steps of: dividing a picture into 4*4 block images by using an H.264 coder frame, and calculating seven edge directional coefficients of each 4*4 block; dividing each 4*4 image block into nine edge modes comprising one consistent regional block edge mode and eight different directional edge modes according to the edge directional coefficients; then selecting one or three intra-frame prediction modes according to the edge modes of the image block, and if the three prediction modes are selected, determining a final intra-frame prediction mode according to the calculated rate distortion cost value after pre-coding; and if only one prediction mode is selected, taking the prediction mode as the final prediction mode. The method quickly determines the 4*4 block intra-frame prediction mode of the H.264 under the condition of low calculation complexity, and ensures good rate distortion efficiency.

The invention relates to a block statistical characteristic-based encoding method, which comprises the following steps of: determining two types of block statistical characteristic-based block matching rules; selecting a block statistical characteristic-based fast intra-frame encoding mode for flat regional blocks; and calculating two improvement directions by adopting the block statistical characteristic-based fast intra-frame encoding mode selected for the flat regional blocks. The method has the advantages of improving matching accuracy by the block statistical characteristic-based block matching rules, and improving encoding speed at the same time of ensuring rate distortion performance due to the selection of the block statistical characteristic-based fast intra-frame encoding mode.

The invention discloses a method for distributively creating a webpage, which comprises the following steps of: dividing the webpage to be developed into a plurality of regional blocks; authorizing one or more developers to develop in each regional block; after each developer builds webpage content of the regional block through a webpage control box, generating an extensive makeup language (XML) regional resource scanning file; and sending the regional resource scanning file to a server database, wherein the server database collects all the regional resource scanning files of the webpage and integrates the regional resource scanning files into a complete XML webpage resource scanning file. When a user browses the webpage, a browser retrieves the XML webpage resource scanning file from the server database terminal, creates the webpage by analyzing the XML webpage resource scanning file and displays the webpage at the user terminal. The method for distributively creating the webpage has the beneficial effects that: the webpage can be very easy to distributively and dynamically create, and the aim of developing the webpage or editing videos in the webpage through the cooperation of many developers is fulfilled.

The invention discloses a fast detection method of SAR (Synthetic Aperture Radar) image targets under strong sea clutter. The method comprises: S1, adopting a regional block dividing strategy to divide a large-scene SAR image into a plurality of sub-block SAR images; S2, acquiring target-clutter contrast-enhanced sub-block coherence images, which correspond to the sub-block SAR images, on the basis of sub-aperture coherence processing; S3. screening out target sub-block coherence images containing the targets and corresponding target sub-block SAR images on the basis of significance of the sub-block coherence images, and using the same as candidate target sub-block images; S4, carrying out fine target detection on the candidate target sub-block images, wherein fine target detection includes detecting low-scattering target pixels for the target sub-block coherence images, detecting target detail contours for the target sub-block SAR images, and fusing two detection results; and S5, removing false alarms for a fine target detection result, and carrying out regional merging to obtain a final target detection result. According to the method, the targets which are in the sea-surface large-scene SAR image and of complex structures and low scattering intensity can be detected, a detection rate is high, a false-alarm rate is low, self-adaptability is high, and a calculation speed is fast.

The invention generally relates to anesthetic compositions comprising low doses of a selective a-2 adrenergic receptor agonists in combination with anesthetic agents. The invention also relates to methods of using these compositions; in particular, the use of these compositions in humans to enhance the efficacy of a local peripheral anesthetic injection. The compositions and the methods are particularly useful in regional block anesthetic injections, and more particularly, in dental anesthetic injections.

The invention discloses a method for predicting a city rainstorm flood evolution process. The method comprises the following steps: (1) initializing data; (2) establishing a void flooded formation, and then establishing a return list; (3) adding a regional block(K) of an initial break-out point to the flooded formation; (4) judging whether the flooded formation is void or not; (5) computing the water depth(D1) of the K1 at the time step(T), computing the altitude difference(D2) between the K1 and a regional block adjacent to the K1, in which if the D1 is more than the D2, the step (6) continues, if the D1 is less than or equal to the D2, the step (7) is directly carried out; (6) computing the T2 needed when the flood reaches the regional block adjacent to the K1, in which if the T is more than the T2, the step (7) continues, if the T is less than or equal to T2, the step 7 is directly carried out; (7) adding the K1 to the return list, and returning to the step (4); and (8) ending the algorithm. When the particular rainstorm flood break-out information is given, due to the adoption of the method, the flooded state of any point in geographical space of the city can be acquired, so that the rainstorm flood evolution process can be predicted.

Production of carbon nanometer-tube array is carried out by providing basis with shielding layer, providing catalyst evaporator source, rotating basis along rotating axis, forming thickened-gradient catalyst thin-film on basis, eliminating shielding layer, defining a catalyst regional block on catalyst thin-film, thinning the thickness of catalyst regional block from the first end to the second end while reaching the optimum thickness in the range of the first end and the second end, treating the catalyst regional block into catalyst granular array, inducing into carbon source gas, growing carbon nanometer-tube array by CVD method and bending the carbon nanometer-tube array in the optimum thickness direction reversely. It can reach local multi-direction growth of carbon nanometer-tube array.

The invention provides a manufacturing method for forming a conductor line on a non-conductive substrate. The manufacturing method comprises the following steps that: A, a non-conductive substrate is selected; B, a printing ink layer is formed on the surface of the non-conductive substrate; C, laser engraving is performed on the printing ink layer and the surface of the non-conductive substrate through laser, and the laser is utilized to divide the printing ink layer into a plurality of continuous or non-continuous different regional blocks, and then, printing ink layer segments of the non-continuous regional blocks are removed through gasification such that portions of the non-conductive substrate where the non-continuous regional blocks are located are revealed; D, metallization processing is performed on the surfaces of the revealed portions of the non-conductive substrate such that the conductor line which is composed of a metal coating can be formed: D, remaining printing ink layer segments are removed, and the conductor line is formed on the non-conductive substrate.

The invention discloses a spherical self-focusing ultrasonic phased array transducer which comprises a spherical shell piezoelectric ceramic chip, first wires and second wires. The convex surface of the spherical shell piezoelectric ceramic chip contains a plurality of first regional blocks, and the surface of each first regional block is covered with a silver coating. The first regional blocks are connected with one ends of the plurality of first wires in a one-to-one correspondence manner. The other end of each first wire is used as an independent control end. The concave surface of the spherical shell piezoelectric ceramic chip is connected with one end of each second wire. The other end of each second wire is used as a common end. The wiring mode ensures independent control on each first regional block on the spherical shell piezoelectric ceramic chip, and enables the transducer to have the advantages of variable focal length, single-point / multi-point focusing, and the like. In medical treatment, the phased array transducer can effectively avoid the bones on the acoustic channel and prevent the bones from absorbing ultrasonic energy to damage tissues, thus reducing the pain ofpatients.

The invention discloses a system for distributively creating a webpage. A method for distributively creating the webpage comprises the following steps of: dividing the webpage to be developed into a plurality of regional blocks; authorizing one or more developers to develop in each regional block; after each developer builds webpage content of the regional block through a webpage control box, generating an extensive makeup language (XML) regional resource scanning file; and sending the regional resource scanning file to a server database, wherein the server database collects all the regional resource scanning files of the webpage and integrates the regional resource scanning files into a complete XML webpage resource scanning file. When a user browses the webpage, a browser retrieves the XML webpage resource scanning file from the server database terminal, creates the webpage by analyzing the XML webpage resource scanning file and displays the webpage at the user terminal. The system and the method for distributively creating the webpage have the beneficial effects that: the webpage can be very easy to distributively and dynamically create, and the aim of developing the webpage or editing videos in the webpage through the cooperation of many developers is fulfilled.

The invention relates to a medium voltage distribution network planning method for an electric power system, and particularly relates to a unitization system medium voltage distribution network planning method based on a load correlation coefficient. The unitization system medium voltage distribution network planning method comprises the following steps: 1, data collection and acquisition of daily load characteristic, quarter load characteristics and annual load characteristics of different users are performed based on an electric energy mass online monitoring system, and user archival information is established; 2, a government department links and collects documents and masters planning construction property and scale of each regional block of a city; and 3, oriented by power utilization requirement (based on urban control and regulation) of land blocks, a comprehensive typical load prediction model is established. By adoption of the technical scheme, the problems of low load rate, high construction investment, difficulty in land applying, and the like caused by insufficient power utilization requirement classification and analysis and the fact that the load development requirement is satisfied by only increasing system capacity existing in the prior art are solved; the power grid equipment utilization rate and power grid economic benefit can be greatly improved; and reference basis is provided for the power grid investment and construction.

The memory includes a substrate and following structure. Common doping trap of first conduction type storage unit is formed on the substrate. Insulated each other multiple second conduction type embedded bit lines is formed on common doping trap of the storage unit. Multiple storage regional blocks arranged in series are formed on single line in multiple embedded bit lines. Each multiple storage regional block contains at least one piece of storage transistor, which includes stacked grid electrodes, source electrode and drain electrode. Being parallel spanned above multiple storage regional blocks in series, the regional bit line through contact plug is contacted to drain electrode electrically. Moreover, electrical short circuit is formed between the contact plug and inferior embedded bit line. The invention has low power expenditure and compatible operation mode. Thus, high-speed program flash memory and high-density data flash memory can be integrated in single chip.

The invention relates to the field of battery design technologies and discloses a regional design pole piece and a battery provided with the pole piece. Regional design is adopted for a positive polepiece and a negative pole piece of the battery. The pole piece comprises a current collector and electrode materials arranged at the two sides of the current collector. The current collector comprisesat least one conductive plate with conducted electrons, wherein each conductive plate is dived into multiple regional blocks, and an electron current limiting part capable of being fused to limit a current is arranged between the adjacent regional blocks. Accordingly, each electrode material also can be divided into multiple regional blocks. Each electron current limiting part is provided with aliquid isolation layer, a heat isolation layer and a containing layer which are used for promoting smooth progress of fusing. A layer of insulation material is arranged between the adjacent regional blocks. Structural parts connected with all the regional blocks are arranged in the pole piece, so that the mechanical strength of the pole piece is improved. Through the pole piece, electron mutual conduction in the regional blocks of the conductive plates and the regional blocks of the electrode materials in case of an internal short circuit can be limited, therefore, an internal short-circuit current of the battery is remarkably lowered, and disastrous problems such as combustion and explosion are avoided.

The invention discloses a delivery range determination method and device, electronic equipment and a storage medium, and belongs to the technical field of networks. According to the method, the historical behavior data in the regional block and the historical order data of the merchants are fully utilized, and the merchant set capable of enabling the overall income in the regional block to be relatively high is found for the regional block from the perspective of the regional block through an automatic method, so that the overall income of the regional block can be ensured, and the distribution efficiency can be improved.

The invention provides a haze treatment method, comprising: firstly, determining one or more treatment regions nationwide; dividing each treatment region into treatment regional blocks according to the administrative region or the absolute size; receiving the haze data gathered by a meteorological system, an environmental protection department or a third measurement system; obtaining the consecutively measured haze data of each treatment region; culminating the data according to a certain period cycle and performing computation treatment; ranking the haze values according to their magnitude; and finding out one or plural treatment blocks with the maximum average estimation in the cycle in the belonged treatment region, or rather, the blocks that serve as the biggest polluters in the treatment region. In the blocks, any pollution enterprises and large-scale people activities that generate haze shall be cut in their emissions on certain value so that in the next calculation cycle, with the same steps, one or more treatment blocks with the maximum average estimation could be found out continuously for emission reduction. The method is performed until no haze is formed.

The embodiment of the invention provides a license authentication method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an authentication instruction input by an authentication user, wherein the authentication instruction comprises a copy license, an identifier of an original license and an authentication type, and the authentication type comprises content authentication and file authentication; Determining an original certificate and an authentication type according to the authentication instruction; When the authentication type is contentauthentication, determining first authentication information in a copy certificate corresponding to the content authentication; When it is judged that the authentication user is allowed to check theoriginal certificate corresponding to the identifier of the original certificate, determining first authentication information of the original certificate corresponding to the content authentication in the regional block chain network by utilizing a preset smart contract; Comparing whether the first authentication information in the copy certificate is consistent with the first authentication information in the original certificate or not; And if yes, determining that the copy certificate and the original certificate are certificates with the same content. According to the invention, the certificate is authenticated according to the authentication instruction of the authentication user.

The invention discloses a big data statistical system and statistical method based on a regional block chain, and belongs to the technical field of big data and medical services. The big data statistical system based on the regional block chain comprises: a data acquisition module connected with an upper computer, whrein the data acquisition module is used for acquiring information data such as quantity, type and distribution of hospital resources in a certain area; and the upper computer which is connected with the data distribution module and is used for analyzing, processing and counting the data content acquired by the data acquisition module. According to the invention, the resource status of each hospital in the area, the patient flow of the corresponding department and the management operation state are reasonably analyzed, so that the patient and the family members of the patient can clearly know the technical emphasis of medical staff in each hospital in the area and the medical condition of the corresponding department in each hospital at present; long-time waiting after the patient goes to the hospital can be avoided to a certain extent, and treatment of the patient is prevented from being delayed.

The invention discloses an image segmentation method based on a network dynamical evolution strategy. The method comprises the following steps: step one, carrying out pixel feature extraction; step two, carrying out pre segmentation; step three, acquiring features of regional block; step four, calculating a similarity degree between random two regional blocks; step five, establishing a network model; step six, classifying nodes of the network based on a network dynamical evolution strategy; and step seven, outputting an image segmentation result. According to the image segmentation method disclosed by the invention, regional consistency and detail integrity of the segmented images are kept well and thus the effect of image segmentation is improved. Moreover, the time complexity of the algorithm is reduced and thus the algorithm is converged as soon as possible; and thus defects that the convergence is done slowly, the algorithm is easy to fall into a local optimization problem, and the time complexity is high of the traditional machine learning algorithm are overcome.

The plasma panel display at least includes upper base plate, lower base plate and multiple lightening units. Each lightening unit is controlled by X electrode, Y electrode on upper base plate and addressing electrode on lower base plate. The characters are that the structure of addressing electrode includes at least two paralleled conducting wires on lower base plate, and multiple conducting regional block located between said two parallel conducting wires utilized to coupe the parallel conducting wires. Each conducting regional block located on lower base plate corresponding to adjoining spot between X electrode and Y electrode. Advantages of the structure are: raised current tolerance of electrode and avoiding too large load at writing end.

The invention discloses a menu operating method and a device. In the menu operating method, an input interface is firstly provided; the input interface comprises a plurality of specific regional blocks, and each specific regional block is respectively corresponding to one option on the menu; then, a regional block selection instruction corresponding to one of the specific regional block is received; and the option corresponding to the selected specific regional block is taken as the target option. After the operating track generated by the linear operation to the input interface by the user is detected, the target option can be changed according to the operating track. Therefore, the method enables the user to more quickly select the required option so as to enhance the convenience of the menu operation.

The invention relates to the technical field of block chains, and provides an anchor node falsification detection method and device, a medium and equipment, and the method comprises the steps of dividing a block chain network into N regional blocks Pi, i = 1, 2... N, and N is an integer greater than 2; enabling nodes in each regional block Pi to select anchor nodes representing all nodes of the regional block Pi through voting; when a transaction initiator initiates a transaction in the regional block Pi, enabling the anchor node of the regional block Pi to send verification information to theanchor nodes of other regional blocks; and enabling the other regional blocks to vote and verify the verification information of the transaction initiator, so that the result of the vote verificationdetermines whether the anchor node of the regional block Pi of the transaction initiator initiating the transaction is a trusted anchor node. The invention provides an anchor node falsification detection method in a fragmentation consensus system, and the credibility of a transaction initiator is guaranteed. The efficiency of mutual communication between the cross-domain blocks is greatly improved, and the problem that in the prior art, forged data is difficult to identify is solved.