43results about How to "Effectively found" patented technology

The invention discloses a method for quickly optimizing an overall maximum power point of a photovoltaic array under local shadow. Under the local overshadowing condition, output characteristics of the photovoltaic array present multiple peak points. For searching an overall maximum value, the method comprises the steps of adopting a modified fruit fly algorithm to perform overall range searching, confirming a range where maximum power is located, then finding a maximum power point in a sub-region in a confirmed region by improving a golden section method and using the maximum power point as a working point of the whole photovoltaic array. By adopting the two steps, the overall maximum power point of the photovoltaic array can be quickly optimized.

According to an autonomous parking system and method based on cloud sharing and map fusion, autonomous parking based on tracking is adopted as a whole, only local path planning is carried out, and the problems that an existing global path planning method is high in computing power requirement and poor in real-time performance are solved. Track map sharing, track map selection and track map fusion are carried out at a cloud end, so that a map does not need to be established by a user, track map multiplexing is carried out only according to selection of GPS coordinates, scene semantic information, track label classification and the like, and a tracking route is optimized; and a cloud-vehicle end-user terminal cooperative communication mechanism is established, the cloud is used for storing, processing and multiplexing the map, the requirement of vehicle end hardware for storage performance is lowered, and meanwhile real-time performance and reliability of autonomous parking are guaranteed through real-time communication between the vehicle end and the user terminal. The parking method is efficient in parking and high in success rate.

The invention relates to an image retrieval method based on hierarchical clustering, proposes a system schema based on hierarchical clustering network image retrieval on the basis of the traditional image search engine through keyword semantic analysis and image visual clustering, and mainly includes that: (1) the image retrieval results are clustered in semantic level; (2) the image retrieval results are clustered in visual characteristic level; and (3) the hierarchical clustering navigation display is realized in a rapid and efficient way. Compared with the traditional image search engine, the invention adds the clustering idea to the image retrieval. The keywords are semantically analyzed to form different subjects; meanwhile, the images are also analyzed in visual characteristic level to cluster similar images in a class, and finally the retrieval results are displayed for the user in classification mode through a concise and clear interface, so as to help users quickly and efficiently find out the required target image from the retrieval results with unsorted subjects.

The present invention provides a time-optimal route planning method based on an improved level set algorithm. The method comprises: 1, constructing a three-dimensional route planning environmental space; 2, initializing a level set function as a symbol distance function, and setting the AUV navigation starting point on a zero level set; 3, constructing a level set evolution equation considering the influence of the ocean current on the AUV navigation, and constructing a narrow band at the starting point and setting a prohibited area; 4, evolving a level set function according to the level set equation established in the step 3, and storing the zero level set interface of each time step length; 5, determining whether a target point is in the current narrow-band range or not; 6, reconfiguring the narrow band, and employing an improved fast marching method to reinitialize the level set function to be a symbol distance function; and 7, employing a back iterative equation, obtaining the time-optimal route of the AUV, and outputting an optimal route. Through adoption of an ocean current reanalysis database, the time-optimal route planning method based on the improved level set algorithm generates an ocean current field and fully considers the influence of the ocean current in the route planning to allow the planning route to have high practicality.

The invention discloses a live broadcast platform user interestingness mining system and mining method based on association rules and relates to the technical field of data mining. The system comprises a data acquisition module for acquiring live broadcast platform user behavior information from a server and generating sampling transaction event library and a testing transaction event library, an association rule model establishing module for adopting a spark calculation framework to conduct frequency mode mining on the testing transaction event library to obtain an association rule model, a user interestingness output module for using the testing transaction event library as an input variable to input the association rule model, obtaining an output variable of the association rule model and using the output variable as user interestingness contents. The live broadcast platform user interestingness mining system has the advantages of being short in computing cycle and high in testing result accuracy and practicability.

The invention discloses a radiographic image weld seam extraction method based on a beetle antennae search algorithm and mathematical morphology. The method comprises the following steps: firstly carrying out preprocessing on a radiographic image, graying the radiographic image to obtain a gray level image, and carrying out two-dimensional adaptive wiener filtering processing at the same time; then carrying out threshold segmentation on the gray level image, searching an optimal threshold value for binarization processing on the radiographic image by utilizing the beetle antennae search algorithm and a clustering idea, and carrying out the threshold segmentation on a to-be-segmented radial gray level image according to the searched optimal threshold value, so as to obtain a binary image; and finally extracting a weld edge of the radiographic image, and carrying out denoising, object deletion and boundary extraction on the binary image, so that the weld seam edge of the radiographic image is obtained. The method disclosed by the invention combines the beetle antennae search algorithm with the clustering idea, the radiographic image with a binary weld seam can be rapidly and effectively obtained, and multiple basic operations of binary morphology are also organically combined together, so that the method is applicable to edge extraction of a weld seam image, and a smooth and continuous weld edge which is not interfered by defect areas can be extracted.

The invention provides a network communication anomaly alarming method and Ethernet switch equipment. A switching control logic chip is arranged between an Ethernet port physical (PHY) chip and a light-emitting diode (LED) indicator lamp. The method comprises that: a management central processing unit (CPU) system queries data messages received by an Ethernet port at the interval of a set period, controls the switching control logic chip to transmit a normal working indicator signal to the LED indicator lamp of the Ethernet port and indicate a corresponding state if judging the data messages received by the Ethernet port so far in a current period are all normal data messages, otherwise controls the switching control logic chip to switch the indicator signal into an anomaly alarming indicator signal and transmit the anomaly alarming indicator signal to the LED indicator lamp of the Ethernet port and indicates the corresponding state according to the anomaly alarming indicator signal by the LED indicator lamp of the Ethernet port.

The invention provides a random access memory (RAM), a network processing system and an RAM table look-up method. By dividing the RAM into at least two virtual memory banks, storing an identical business table in at least two virtual memory banks and determining the appropriate virtual memory banks by calculation of a network memory so as to have an access, access flow pressure of the RAM is effectively reduced while the table look-up speed of the RAM is improved, and network transmission performance is also improved. Simultaneously, the same business table can be stored in the virtual memory banks of the RAM, the table look-up speed of the RAM is improved to the largest extent, a network processor can calculate virtual memory bank address information in a Hash algorithm, not only is the counting process simple and convenient, but also the appropriate virtual memory banks can be found effectively, and table look-up efficiency and the network transmission performance are further improved.

The invention provides a key new word finding method based on multidimensional word and sentence characteristics and sentiment analysis. The key new word finding method comprises the following steps:step 1, grasping needed comments from an e-commerce platform; step 2, pre-processing the comments; step 3, carrying out word segmentation on the comments by adopting an NLPIR word segmentation tool; step 4, constructing and filtering repeated strings of a text subjected to the word segmentation by utilizing the multidimensional word and sentence characteristics; step 5, manually screening accuratenew words of a training sample; step 6, counting digital combinations and new class combinations of the new words; step 7, adjusting a filtering threshold value in step 4 according to a counting result and adding the new class combination and filtering to obtain a repeated string set of the tested sample; step 8, adding a user dictionary for optimizing the word segmentation; step 9, carrying outdependence grammar analysis on a word segmentation result by utilizing LTP (Long Term Potentiation); step 10, carrying out sentiment marking on governing words in a dependency relation by utilizing aCRF++ tool; step 11, taking the repeated strings which are sentiment words or the repeated strings with the governing words which are the sentiment words as the key new words. The key new word findingmethod provided by the invention is used for carrying out new word mining on a lot of comment texts of certain e-commerce products to obtain the new words which play a key role in the comments, so that the word segmentation accuracy is improved and a good foundation is provided for the mining and analysis work of the texts.

The invention discloses a system platform for health service management, which is characterized in that: health, service stationing, merchant stationing, commodity management and personal center are included; The health is a platform service system interface composed of a health service institution, The service entry is an examination and evaluation system interface established for practitioners,the merchant entry and commodity management is an authentication or management system interface established for merchants or institutions engaged in the health service industry, and the personal center is a management system interface for customers or health service practitioners to carry out self-management and regulation; By interacting with the four modules of commodity management and personalcenter, health service providers such as dieticians, health administrators and baby nurses are provided with a platform to realize the service value. The marketing channel for the health commodity operators which is suitable for their own commodity characteristics is established; users are allowed to find their own suitable dietitian or health management specialist.

The embodiment of the invention relates to the technical field of operation and maintenance control, and discloses a laser container finding method, a hoisting system, a controller and a storage medium. The laser container finding method provided by the invention is applied to the controller in the hoisting system. The hoisting system comprises a hoisting device and the controller; eight laser devices are arranged on the periphery of the hoisting device; four laser devices in the eight laser devices are distributed on four end points of a pair of opposite sides of the hoisting device; the other four laser devices are distributed on the other pair of opposite sides of the hoisting device in pairs; and the eight laser devices are respectively in communication connection with the controller.The method comprises the following steps of obtaining laser emission distance values measured by the eight laser devices; and controlling the lifting device to move according to the laser emission distance values reported by the eight laser devices until the reported laser emission distance values conform to the preset conditions. The high-precision container finding can be realized at low cost.

The invention provides a recommendation method and system for a recruitment system, and relates to the technical field of the Internet. The recommendation method comprises the steps: obtaining the personal information of a plurality of interviewees, comparing the plurality of pieces of personal information, and obtaining the same information or similar information of the plurality of pieces of personal information; carrying out the classification according to the same information or similar information, and classifying the interviewees with the number of pieces of same information or similar information being greater than a preset threshold value into an employment applying group; obtaining the browse records or delivery records of all persons in the employment applying group, and storingthe browse records or delivery records into a database; comparing the browse record or delivery record of each person with the database; and pushing the recruitment information which is not browsed orapplied by each interviewee in the database to the corresponding interviewee. The method and system provided by the invention can effectively help the interviewees find the unseen recruitment positions or information, enlarge the selection range for the interviewees, and enable the interviewees to quickly and accurately find the positions matched with the conditions of the interviewees.

The invention belongs to the technical field of digital communication and block chains, and relates to a block chain storage optimization method based on a remainder system and an RAFT algorithm in order to achieve rapid updating of block chain data and simply, efficiently and substantially reduce the storage data volume of a block chain, which comprises the following steps: selecting n remainderbases with the bit width of b; utilizing the characteristic of remainder system parallel computing, so that each node only needs to update the local remainder in parallel to finish data updating; performing hybrid error detection and correction based on an extended Chinese remainder theorem CRT II and a consensus algorithm Raft; in the data recovery process, using a hybrid error detection and correction scheme based on a CRT II and a Raft algorithm, splitting a whole remainder system into a plurality of two-base remainder systems, adding two remainders determined by the Raft algorithm into theremainder systems to serve as redundant bases, and judging whether malicious data exist or not according to the overflow judgment theorem. The invention is mainly applied to block chain occasions.

The invention relates to a novel website navigation realization method. The method comprises a football-shaped network navigation framework (1), a football-shaped navigation keyword button (2) and a pre-view window (3) and comprises the following steps: coding the football-shaped network navigation framework (1) with HTML codes; adding special effects to football-shaped navigation with java scriptsuch that the football-shaped network navigation framework can rotate with a mouse while adjusting rotary speed according to the distance from the mouse to navigation with appearance of the content pre-view window (3); extracting keywords for information on one website; inputting extracted keywords into the button (2) part left by football-shaped navigation; adding website information pre-view information into a navigation button; adding a navigation function into a front page of the website; enabling the football-shaped navigation to rotate by means of the mouse in order to find out what a user wants, putting a mouse cursor to see pre-view information and entering a relevant site by clicking on the navigation button. The novel site navigation realization method enables the overall sit tobe well-organized and clear. Therefore, the user can find out required information in the most-effective manner.

The invention discloses a shopping basket recommendation method and device based on course purchase and electronic equipment. The method comprises the following steps: collecting course purchase data entries; according to an FP-Growth algorithm, obtaining a frequent pattern through the data items; according to the frequent mode, recommending a second course based on the purchased first course, wherein the first course and the second course are both in the frequent mode; and repeating the steps by using the data of the newly purchased course. The method can help students to quickly and effectively find associated courses of a certain course, so that the students can understand knowledge points with a coherent thinking, and the understanding of the students on the knowledge points is improved.

The invention relates to the technical field of combination instrument fault diagnosis, and discloses a combination instrument fault diagnosis method, device and equipment and a storage medium. The method comprises the steps: recording the abnormal information of a combination instrument during the operation of the combination instrument, and obtaining a preset design rule; compiling the abnormalinformation according to the preset design rule to generate an abnormal code; obtaining a preset diagnosis code, and comparing the abnormal code with the preset diagnosis code; and positioning the abnormal information according to a comparison result to obtain a fault range of the combination instrument. According to the invention, due to the fact that the abnormal information is compiled into theabnormal codes, the problems of the combination instrument can be directly converted into the corresponding abnormal codes, the abnormal codes are compared with the preset diagnosis codes, and the fault range of the combination instrument is positioned, so that compared with the prior art that a corresponding fault piece needs to be taken for analysis, the method of the invention has the following characteristics that the position of the fault can be found more quickly and effectively so as to improve the troubleshooting efficiency.

The invention discloses an attention fine-grained classification method based on weak supervision position positioning. The method specifically comprises the following steps: 101) a preprocessing step, 102) an information processing step, 103) an information progress step, 104) a feature data step and 105) a classification confirmation step. The invention provides an attention fine-grained classification method based on weak supervision position positioning, which can be used for positioning areas with relatively small inter-class differences and carrying out positioning and amplification.