277results about How to "Improve extraction speed" patented technology

A method of extracting honey from a honeybee hive is disclosed, comprising: separating the honey super(s) containing the frames of honey from the remainder of the hive components; placing the entire honey super(s) in an extractor such that the top bar of said frames are closest to the wall of the extractor; and rotating the extractor sufficiently to extract the honey. The frames of honey are plastic fully drawn combs and are not uncapped prior to the rotating step. The honey super(s) is/are rotated 90° from its/their position in the hive. The honey super frames can comprise a unitary integral plastic frame and foundation having a top bar, 2 side bars and a bottom bar with said foundation positioned between all of said bars, said side bars having a width wider than the top bar and bottom bar so as to create bee space, said foundation having hexagonal dimples formed therein, each of said dimples having an integrally formed plastic honeybee egg positioned centrally.

A fingerprint information processing method and apparatus in which the method includes: obtaining a fingerprint image; calculating an average value of shading values of pixels in a specific region based on a pixel with respect to each pixel of the fingerprint image, performing a first processing of calculating a sum of average values of shading values of pixels included in an expanded region while gradually expanding the specific region, and generating a first processing image for the fingerprint image using a first processing-performed value for each pixel; and forming a window including a predetermined region in the first processing image, and selecting feature points among pixels in a window region while moving the window.

The invention discloses a traditional Chinese medicine extracting and filtering device which comprises a reaction kettle and an inner container. The inner container is arranged in an inner cavity of the reaction kettle, a heating cavity is formed between the reaction kettle and the inner container, the top end of one side face of the heating cavity is penetratingly connected with an air incoming pipe, an air shift box is arranged at the top wall of an inner cavity of the inner container, a stirring rod is arranged in the inner cavity of the inner container, the top end of the stirring rod penetrates the top walls of the air shift box and the reaction kettle and is fixedly connected on a motor shaft of a motor, a plurality of stirring pipes are uniformly arranged on the stirring rod, the bottom end of the inner container is penetratingly connected with an agent discharging pipe, the other end of the agent discharging pipe penetrates the bottom wall of the reaction kettle and is penetratingly connected with a filter, and a plurality of supporting legs are arranged at the bottom end of the reaction kettle uniformly. By arranging the heating cavity to wrap the whole inner container to enable the outside of the same to be heated uniformly, lowering of quality of medicine liquid due to charring of traditional Chinese medicine caused by local overheating can be prevented effectively; the medicine liquid is heated from the inside of the same through the stirring rod and the stirring pipes, so that heating effect of the medicine liquid is further improved, and extraction speed and quality of traditional Chinese medicine are improved substantially.

The invention discloses a metal identification method based on information entropy and belongs to the image identification technology field. The method is characterized by firstly, carrying out multistage wavelet transformation on a sample image; then, using a K mean value algorithm to carry out identification for one time; for a sample which is not identified, analyzing a transformed multistage wavelet transformation entropy value; and using a decision tree algorithm to carry out the identification for the second time. In the method, through multilevel identification, an identification speed is increased and simultaneously algorithmic accuracy is guaranteed. An algorithm speed is fast, an accuracy degree is high, identification efficiency is high too and a real-time performance requirement can be satisfied. The method supports parallel processing. Equipment needed during identification is simple and environmental-protection. The method has wide applicability. The method is suitable for identification of copper, aluminum alloy and stainless. Under the condition that there are sufficient samples, because hardness and colors of different metal and alloy are different to some extent, the method can be used for distinguishing various kinds of non-ferrous metal.

The invention discloses an enterprise internal auditing system based on a block chain technology. The enterprise information processing system comprises an upper application layer, a development interface layer, a block chain platform layer, a data layer, an infrastructure layer and a terminal department, the upper application layer and the development interface layer are in bidirectional connection, and the open interface layer and the block chain platform layer are in bidirectional connection. The invention discloses an enterprise internal auditing system based on a block chain technology. Aplurality of auditing modes can be set. The actual requirements of enterprise departments are met. Actual services of different enterprises can be met. The standardization and the unification of audit services in an enterprise can also be completed. According to the method, the original data information can be obtained accurately, the efficiency and quality of obtaining audit evidences by internal audit of enterprises are improved, and the reliability of obtaining the evidences by the internal audit is effectively guaranteed, so that the efficiency and effect of executing audit work in the enterprises are improved, and the storage mode of the networked internal audit data is improved.

The invention relates to a microblog spread prediction method based on user influences and contents. The method includes the following steps that firstly, by means of the scrapy technology, personal information of two users, the forward relationship between the two users and forwarded microblogs are crawled; secondly, the user influences are extracted through the RankPage influence analysis technology to form a user authority predictive factor; thirdly, the percentage of fans forwarded microblogs in all published microblogs in unit time is used, and a fan forward activeness predictive factor is extracted; fourthly, the microblog contents are subjected to importance analysis through the TF-IDF word weight technology to extract a microblog importance predictive factor; fifthly, the extracted forward relationship is divided into 10 microblog forward training sets and microblog ignoring training sets through the snowball sampling method; sixthly, the training sets are trained by means of a monitored Bayesian network till classifier parameters are converged. By means of the method, the prediction accuracy of Sina microblogs forwarded by special fans can be improved.

The invention relates to a novel ICF (initial confinement fusion) pellet detection device and a positioning method. The device comprises a laser, a beam expander, a first bean splitter, a second beamsplitter, a third beam splitter, a plane mirror, a to-be-detected pellet, a lens, a CCD image sensor, a computer, a high-power LED and a diaphragm. The pellet is moved at the internal of 10 mu m, a backlight projection image in each position is collected, image preprocessing work such as filtering and aperture extraction is performed, the acutance of an area near a bright ring is calculated, and the position with the largest acutance meets the object-image conjugate relation. The pellet is moved in the interval of 10 mu m at the interval of 1 mu m continuously after being moved to the position. The steps of collection, image preprocessing and acutance calculation are repeated, the pellet is moved to the new position with the largest acutance, and positioning is finished. The novel pellet detection device and the positioning method are applicable to conventional cylindrical vacuum space and can realize automatic positioning quickly and accurately.

The invention relates to a preparation method for a solid-phase micro-extraction fiber bundle, and relates to preparation of the fiber bundle. The preparation method comprises the steps of (1) preparation of single SPME (solid-phase micro-extraction) fibers based on an integral material: mixing a monomer, a crosslinking agent, a pore-forming agent and an initiator to prepare a uniform solution, then injecting the uniform solution into a capillary which is 5-20cm long and of which the inner diameter is 0.2-0.8mm and the wall thickness is 0.05-0.2mm, sealing two ends of the capillary, performing polymerization, removing a section, which is 1-3cm long, of the capillary, putting the integral material fiber into a soxhlet extractor, performing extraction through a solvent, or putting the fiber into the solvent, and soaking the fiber until no impurity is detected from the liquid so as to obtain the single SPME fibers based on the integral material; (2) preparation of the solid-phase micro-extraction fiber bundle: combining 2-6 of the single SPME fibers based on the integral material on the capillary to obtain the solid-phase micro-extraction fiber bundle. The preparation method is simple, high in extraction capacity, high in extraction speed, low in cost and easy to operate.

The embodiment of the invention provides a video data processing method and video data read-write equipment. The video data processing method comprises the following steps: receiving a data read request message, wherein the data read request message comprises initial time of video data to be read; according to the initial time, determining position information of an initial I frame of the video data to be read in a video data storage region; and according to the position information, reading the video data to be read from the video data storage region. According to the embodiment of the invention, by receiving the data read request message comprising the initial time of the video data to be read, the accurate position information of the initial I frame corresponding to the video data to be read in the video data storage region is rapidly determined and the video data to be read is read from the video data storage region according to the position information so as to improve the extraction speed and the working efficiency of the video data.

The invention provides a method for extracting regular noise from single record web pages. The method comprises the steps of firstly converting multiple record web pages into document object model (DOM) trees, and classifying the DOM trees according to structures; then aligning and integrating the DOM trees belonging to the same type to obtain site section style trees; and positioning approximate positions of web page text headline nodes and approximate positions of web page text main body nodes in the site section style trees, and finally extracting the regular noise in front of texts, in the texts and after the texts according to the web page text headline nodes and the web page text main body nodes. By means of the method, space resources required by construction of the site section style trees is decreased, possible extraction leakage situations are decreased, and extracting speed is accelerated. In addition, an extracting result has high accuracy, good effect is obtained, and the reliability is high.

The invention belongs to the technical field of additive manufacturing on-line measurement, and discloses an on-line detection method of the contour accuracy of a molding layer in the laser selectivemelting process. The on-line detection method includes the following steps that S1, a model of a to-be-machined part is sliced, and an auxiliary image is generated; S2, powder spreading is conduced, and then powder is melted and molded in a laser selective mode; S3, an image of a basic molding area is collected, and a contour of a segmented image is extracted; S4, the image contour is subjected tothree-dimensional reconstruction to obtain an image actual contour; S5, the image actual contour Cr is compared with a contour of a corresponding slicing layer to analyze the accuracy, if the requirements are met, the step S6 is executed, and otherwise, machining is completed; and S6, whether machining of the to-be-machined part is completed or not is detected. According to the on-line detectionmethod of the contour accuracy of the molding layer in the laser selective melting process, the range of image contour extraction can be effectively and accurately delimited, and then the number of iteration times in the calculation process is greatly decreased; and thus the extraction accuracy of the image contour reaches the sub-pixel level, and accurate and rapid contour detection is realized.

The invention relates to a liquid sampling apparatus including: a sampling pipeline, a liquid discharge pipeline and a plunger pump which is connected to the sampling pipeline and liquid discharge pipeline, so that a liquid is sucked via the sampling pipeline and is discharged via the liquid discharge pipeline. The apparatus also includes: a peristaltic pump which is arranged on the sampling pipeline for pumping the liquid into the plunger pump; a controller for control coordinated action of the peristaltic pump and the plunger pump; a filter disposed between the peristaltic pump and the plunger pump; and a second pressure sensor and a first pressure sensor that are arranged at the front and the back of the filter. The controller controls the operation of the sampling apparatus according to pressure signals. In the apparatus, the liquid is sucked in a double-power manner, so that it is guaranteed that the interior of the plunger pump is under micro-positive pressure always. The structure not only increases suction speed of the liquid and reduces suction time, but also can avoid bubbles in the plunger pump and increases sampling precision.

The invention provides a video playback method and device. The method comprises the steps that a video playback command is received, a corresponding video storage region is searched out, the corresponding video storage region comprises at least one group, and each group comprises n I-framed data; according to the video playback command and the reverse order of the groups, all the groups are subjected to the following operations that the n I-framed data in the groups in the corresponding video storage region are extracted in the forward order to be stored in a playback buffer memory space, and frames are taken out reversely in the playback buffer memory space and sent to a video play device for playing. Every time when a group of I-framed data is extracted, the frequency of rotation of a video storage device hard disk is reduced, the data reading speed is improved, pressure and damage of the hard disk are relieved, and the playback performance is improved.