81results about How to "Complete category" patented technology

The invention discloses webpage information classifying method and system, relating a storing mode of information index, in order to solve problems that the searching service provided by existing information index mode can only provide inaccurate searching results, low searching quality, inconvenient operation to user. The method comprises: establishing an initial classification of the webpage information; if the information amount in of any classification reaches the preset value, splitting the classification; the splitting step comprises: carrying out clustering operation according to similarity among webpage, in order to cluster webpage whose similarity reaches the preset value in a same classification; then setting the rest of the webpage into a isolated webpage classification. The invention totally improves the span and depth in information classification, capable of supporting more application services. The invention also claims a service system applying the classification.

The invention relates to an Internet user behavior analyzing and early-warning system and method. A data packet acquisition module acquires a complete network data packet and stores the complete network data packet into a data storage server, data are retrieved and filtered through a data packet mining module, the data obtained through filtering are classified according to different classifications, and the effectiveness of the classified data is guaranteed. The classified data obtained through the retrieval are matched with early-warning conditions stored in a matching template, the behaviors of a user for using the Internet can be analyzed, and the harmfulness of the behavior of the user for using the Internet is automatically judged. Through a matching template automatic generating module of the system, a template database can be intelligently updated through combination of manpower and machines, the timeliness of the matching template is guaranteed while manual cost is reduced, and the method for judging the behaviors of the user for using the Internet is different from a traditional fixed calculation method. The matching results of detailed data of the user for using the Internet in all the classifications are collected and fed back, and thus network monitoring personnel can perform first-time early warning on network harms to happen.

The invention relates to an automatic medicine storing and taking system for a hospital, in particular to a storing and taking management system of medicines and consumed materials in an operating room. The medicine storing and taking system comprises a cabinet body, a medicine storage unit and a control system, wherein the control system controls the medicine storage unit by a control circuit; the medicine storage unit comprises a body, a plurality of controllable medicine boxes and a medicine box fixing frame, and the controllable medicine boxes are arranged on the medicine box fixing frame; the medicine box fixing frame is arranged at the bottom of the box from an installing groove at the rear part of the body; the side surface of the medicine box fixing frame is provided with a plurality of L-shaped opened grooves at equal intervals, and the L-shaped opened grooves are in matched installation with bosses arranged at the lower part of the controllable medicine box; the controllablemedicine box comprises a single medicine keeping box and a plurality of medicine keeping boxes; the size unit of the single medicine keeping box is the basic size unit of the controllable medicine box; and the lengths and the widths of the medicine keeping boxes are integral multiples than those of the single medicine keeping box. The automatic medicine storing and taking system required to be protected in the invention conforms to the China medicine management and the hospital management system completely, and has the advantages that the storage space is free and adjustable, the mechanical structure, disassembly and maintenance are simple and the safety is high, the installation and the combination of the medicine boxes are also simpler and more convenient, and the storage space of the medicines is greatly saved.

The invention discloses a calling device based on electrical brain information demodulation, which is to provide the calling device based on stable state visual induction electric potential demodulation for a ward calling system to substitute for a keypad type calling machine. The calling device consists of a service sign screen, an electrical brain collector, an electrical brain amplifier, an A / D converter and a calling extension machine; wherein the service sign screen is a LED display screen. The electric brain collector consists of 3-5 active electrodes, is fixed on the scalp on the position of occipital lobe of hind brain of a patient and is connected with the electric brain amplifier. Multi-lead electric brain signals are amplified by the electric brain amplifier and are transmitted to the A / D converter. The A / D converter transforms simulation signals into digital signals and transmits the digital signals to the calling extension machine. LED display control software and electric brain processing and analyzing software are arranged on the calling extension machine. The LED display control software controls the display of the service sign screen. The electric brain processing and analyzing software processes and analyzes the electric brain data in real time and transmits calling information to a host machine. The invention can substitute non-contact and non-action type fixation operation for keypad type operation.

The invention relates to a medicine access system for hospitals, in particular to a medicine workstation of medicines and consumables in operating rooms. The medicine access system can be used for realizing automatic medicine access registration and effective data tracking; in addition, based on the design of a single access door, all drawers, medicine boxes and internal equipment can be maintained and changed only after a rear cabinet door is opened, moreover the cabinet door has a function of state memory and can record the open state of the cabinet without being electrified, therefore the safety of medicine and equipment management and convenience of equipment maintenance can be improved.

The invention discloses an automatic filing system and method for court electronic files. A computer automated processing technique is used, the image feature values of the electronic file titles arelearned, trained and recognized through the artificial intelligence technology and matched with the preset feature library, the functions of automatic recognition and automatic filing of the electronic files are achieved, new types are continuously learned through a learning training model to obtain new classification feature values, and therefore the feature library is continuously updated to enrich the classification types. According to the invention, the computer and artificial intelligence are combined, and manual intervention is taken as assistance to replace an original manual processingmode to archive and classify the electronic files of the court, so that the working efficiency and the archiving accuracy are effectively improved; and through the learning training model, the computer continuously learns to adapt to more types of files, so that the filing classification is further perfected, and the recognition range of the system and method is expanded.

The invention discloses an information processing method and electronic equipment. The information processing method is applied to the electronic equipment. The electronic equipment comprises a display unit. The method comprises the steps of reading M pieces of stored schedule information, obtaining attribute information of M pieces of the schedule information, and displaying M pieces of the schedule information on the display unit in different display modes according to the differences of the attribute information.

The present invention discloses a method for classifying websites, comprising: adding a top-level domain name of a website into a list of domain names to be analyzed; parsing a cross-domain policy file of the top-level domain name to obtain one or a plurality of first domain names; adding the one or the plurality of first domain names into the list of domain names to be analyzed and classifying the top-level domain names; analyzing cross-domain policy files of the obtained first domain names one by one to acquire one or a plurality of second domain names; adding the second domain names into the list of domain names to be analyzed and classifying the obtained first domain names; after current domain names are classified and when it is determined that the series of domain names in the list of domain names to be analyzed is no smaller than due series, analyzing the cross-domain policy files and classifying the domain names for the domain names to be analyzed in the list, leaving the domain name with the series obtained from the analysis greater than the due series alone to acquire a relation table of domain classification. The present invention further discloses an apparatus for classifying websites.

The invention discloses a detection probe for DUOX2 gene mutation and a detection method thereof, particularly relates to a method for detecting DUOX2 gene mutation related to a congenital hypothyroidism (CH) pathogenic gene, and belongs to the technical field of molecular biology. A PCR primer sequence of a DUOX2 gene for detecting the CH is a nucleotide sequence as shown in SEQ ID No.1-SEQ ID No.18 in the sequence table. The detection probe has the advantages that the DUOX2 gene causing the CH is detected by utilizing new generation sequencing, and 24 new mutation sites which are not yet reported home or abroad are discovered. The detection probe applied to clinical gene mutation detection is beneficial to etiological analysis and diagnosis of CH, further recognition of mutation spectrum of the CH gene and further research on pathogenesis of CH.

The invention provides a tissue slice classification method based on a microscopic hyperspectral imaging technology. The method comprises the following steps of firstly, preprocessing the microscopichyperspectral data so as to eliminate the noise influence and the data redundancy; establishing and training three types of convolutional neural network (CNN) models; wherein the one-dimensional CNN model realizes the spectral dimension feature extraction and classification, and the two-dimensional CNN model and the three-dimensional CNN model realize the spectrum-spectral dimension joint featureextraction and classification respectively; and for an actual to-be-detected microscopic hyperspectral image, obtaining a final classification result through the quantitative qualitative analysis andthe model output result voting. According to the present invention, the deep learning convolutional neural network models are used for extracting and classifying the deep features, so that the overallclassification precision and the speed are improved, and meanwhile the automatic data collection and classification process of the pathological sections is perfected.

The invention relates to an efficient combined sieve for wheat. The efficient combined sieve for wheat comprises a machine frame (1) with a support (2); the support is connected with a sieve box (4); a set of sieve plates (5) are connected with the interior of the sieve box; the upper side of the sieve box is connected with a feeding hopper (11) through a buffer box (9); the support is connected with a centrifugal fan (12) and a dust catcher (15); an air inlet of the centrifugal fan is connected with the feeding hopper through a first pipeline (13); an air outlet of the centrifugal fan is connected with the dust catcher through a second pipeline (14). The machine frame is provided with a separator (16) correspondingly communicated with the sieve box and connected with the first pipeline through a third pipeline (17). The efficient combined sieve for wheat has the advantages that the sieve is used for removing impurities of wheat and grading the wheat; screens can be applied to grading various grains and oil plants after being replaced, and universality is good; wind generated by a fan of the cycle separator is recycled, so that electricity consumption is reduced greatly; the sieving efficiency of three layers of screens is improved than that of two layers of screens by 40%.

The invention provides an intelligent classifying garbage can which comprises a can body. An intelligent control system is arranged in the can body. The intelligent control system comprises a master control module, a display module, an opening and closing control module, a data center module, a power module and a voice identification module which are electrically connected. Meanwhile, an intelligent control method combined with the intelligent control system serving as the basis is provided. The can body comprises four containing cans having an independent opening and closing function. Each containing can comprises a garbage can cover and a garbage inner can. Different garbage classification logos are arranged on the outer surfaces of the garbage can covers (a, b, c and d), and handles areassembled correspondingly. Due to four classifying classes, the intelligent classifying garbage can is more complete in classification compared with classification of a common garbage can, the voiceidentification module can identify a voice command and execute opening and closing of the garbage can, due to an automatic can cover bouncing off and closing manner, people are also prevented from making direct contact with bacteria generated by garbage, and cleanliness, sanitation and healthiness are achieved; and due to the containing cabinet type appearance, the garbage can can be more easily integrated in the home environment, and attractiveness and coordination are achieved.

The invention relates to a local entropy-based visualized analysis method for malicious codes. The method comprises the following steps of: calculating local entropy of a malicious code, recording a sequence length of the generated entropy value as L, and supplementing 0 entropy values; calculating a djb2 hash value of the local entropy; converting the djb2 hash value into an RGB value; generatinga square graph of the local entropy on the basis of an RGB value sequence; and extracting Gist features of the square graph of the local entropy, and carrying out classification and verification by using a KNN algorithm. The method can be used for malicious code detection and classification.

The invention discloses a music automatic switching method based on electroencephalogram signals. When music is applied to song playing, the emotion of a current user is recognized through the electroencephalogram signals and classified, song classifications matched with the emotion are searched for according to the emotion state matching relation obtained in advance, one song is automatically selected from the song classifications to serve as a playing song, and meanwhile a next proper playing song is automatically generated based on the real-time emotion dynamic change condition reflected by electroencephalogram data. The emotion state of the user is induced through the music and evaluated, then the relevance between the individual emotion experience and the music performance is analyzed, meanwhile, content-based similarity analysis is carried out on the music, a personalized music recommendation playing system is established, and theoretical support and help can be provided for assisting music treatment.

The invention discloses an attack traffic classification method based on SVM. The method comprises the steps: giving Nt as a training sample in malicious traffic detection, and enabling a single sample xi to belong to Rd and represent a d-dimensional network traffic; in the flow classification step, a decision function f (x) = wx + b is solved in a d-dimensional space, so that a boundary is found,samples are mapped to corresponding flow classification labels, and the samples are distributed on the two sides of the boundary; in the two-dimensional plane, the boundary is a straight line; in thehigh-dimensional space, the boundary is a hyperplane; the core of the SVM-based classification problem is to find a boundary obeying the minimum misclassification ratio; after the parameters of the quadratic programming problem are solved, unknown flow samples can be classified by calculating a decision function. The device is wide in application range and convenient to expand. And the method canbe extended to abnormal flow detection scenes of protocols such as FTP, telnet and SMTP. Abnormal flow detection is carried out by utilizing data packet loads, and attack flow classification is realized.

The invention discloses a data security protection method and system. The data security protection method is applied to data security protection of a third-generation intelligent substation auxiliary monitoring system, and specifically comprises the following steps: obtaining useful information in master station system information; and based on the obtained useful information, matching different encryption algorithms according to the importance degree to realize hierarchical encryption of the information. The data acquired by each sub-detection system in the substation auxiliary monitoring system is layered according to the importance degree, and different data encryption methods and different backup methods are adopted for the data of different layers, so that the workload of a computer is reduced, the storage space is saved, and the data transmission efficiency is improved.

The invention discloses a hot data prediction method based on a joint optimization echo state network. Quantum particle swarm optimization is creatively used for calculating storage layer parameters of an echo state network to obtain optimal storage layer parameters; in a particle position updating process, an output weight is calculated by combining an echo state network of L2 + self-adaptive L1 / 2 regularization constraint and a global optimal adaptive value is calculated; at the end of iteration, the particle position corresponding to the global optimal adaptive value is taken as an optimalstorage layer parameter; and finally, based on the optimal storage layer parameter, a final output weight is calculated by adopting an echo state network of L2 + adaptive L1 / 2 regularization constraint. The hot data is predicted by using the final output weight and the logic block address where the input historical hot data is located. According to the method, hot data prediction replaces hot dataidentification, and a predictive hot data identification technology is disclosed and can better serve garbage collection and wear leveling tasks of the solid state disk.

The invention relates to an automatic medicine storage and retrieval system for hospitals, in particular to an automatic medicine storage and retrieval system for medicines and consumable materials in operating rooms. The automatic medicine storage and retrieval system is provided with a controllable medicine box which can be positioned and opened automatically, wherein the controllable medicine box comprises a box body and a medicine box control mechanism which are arranged in parallel; a box cover is arranged above the box body; a medicine box spring is arranged at the position of a shaft for connecting the box cover with the box body, so that the box cover is bounced upwards to be opened automatically; a lock hole is formed on the side face, which is connected with the control mechanism, of the box body; a key hole matched with the lock hole is formed on one side of the box cover, and is engaged and locked with the lock hole of the control mechanism in the horizontal direction; a medicine box control board and an electromagnetic driving mechanism are arranged in the control mechanism; and the electromagnetic driving mechanism comprises an electromagnet, an adaptor and a lock catch. The automatic medicine storage and retrieval system required to be protected completely accords with the China medical medicine management and hospital management system, and has the advantages of high degree of automation, simple mechanical structure and maintenance design and high safety; and by the system, medicines can be positioned and opened automatically and taken out conveniently and quickly, and the supervision safety and the using safety of the medicines are greatly improved.

The invention discloses a method for classifying and encoding indoor map elements. The method comprises the following steps: step 1: according to the properties and characteristics of the indoor map elements, classifying the indoor map elements into 13 categories, then classifying each category into a plurality of classes, and classifying each class into a plurality of subclasses; step 2: establishing an encoding system for the classified elements by adopting 6 decimal number codes, respectively giving 2 decimal number codes for each category, each class and each subclass, and arranging the categories of number codes, the classes of number codes and the subclasses of number codes in order; step 3: synthesizing the categories, the classes and the subclasses of the elements, and determining the type code value of each element. The method can clearly indicate the classifications and the type codes of the indoor map elements so that the indoor map elements can be integrated with outdoor map elements well, so as to serve indoor and outdoor navigation.

The invention discloses an allocation method and device of Internet protocol version 6 (IPv6) address prefixes. The allocation method comprises the following steps: carrying out CLASS-MAP classification on virtual private network (VPN) users belonging to the same CIP user access group or different CIP user access groups; and allocating the same IPv6 address prefixes to the VPN users of the same class. By adopting the CLASS-MAP mode, the invention allocates the V6 prefixes to the VPN users so that the allocation of the V6 prefixes can be independent of domains or CIP user access groups, thereby realizing the flexible allocation of the V6 prefixes.

The invention provides an alarm broadcasting method and device. Specifically, the alarm broadcasting method comprises the following steps: robot equipment receives voice carrying information sent by auser; the robot equipment converts the voice information into voice text information used for being recognized by a processor and sends the voice text information to the processor, and the voice information is used for indicating the processor to send a request for collecting real-time data to collection equipment; after the real-time data sent by the data acquisition equipment is received, the processor filters and stores the real-time data; the processor monitors the real-time data and determines the real-time data meeting a preset alarm condition; and the processor sends an event type corresponding to the real-time data meeting the preset alarm condition to robot equipment so as to broadcast alarm information. According to the invention, the beneficial effects that manual monitoring isreduced, manpower resources are saved, alarm classification is rich, and alarm can be given according to various event types of different types of monitoring data are achieved.

The embodiment of the invention provides an importance degree classification method and device for power consumers. The method comprises the steps: building an evaluation model for the importance degree classification of the power consumers, and obtaining the weight of each evaluation index in the evaluation model through the calculation of an analytic hierarchy process; acquiring data of each evaluation index in the evaluation model corresponding to the power consumer sample and the target power consumer, and preprocessing the data of each evaluation index; according to the weight of each evaluation index in the evaluation model and the preprocessed data corresponding to the power consumer sample, utilizing an improved FCM clustering algorithm to obtain each clustering center of the powerconsumer sample; According to the preprocessed data corresponding to the target power consumer, calculating an Euclidean distance between the target power consumer and each clustering center, and determining an importance degree classification result of the target power consumer according to the Euclidean distance. The embodiment of the invention can scientifically and objectively classify the power consumers to an important degree.

The invention provides a column editing method and a column editing device. The column editing method comprises the steps of acquiring a column tree identification, a column identification and operation information in a manager operation instruction; on the condition that a manager has an authority which corresponds with the manager operation instruction, searching whether the column tree exists; if yes, displaying the column tree in a visual interface, and executing a corresponding operation on a node which corresponds with the column identification in the column tree according to the operation information, thereby obtaining an updated column tree; and uploading the columns which correspond with the updated column tree on a page according to a preset mapping relation between the column tree and the columns in the page. Based on the column editing method and the column editing device, the manager can construct different column trees for different user sets on different platforms through a visual interface, and the managers with different authorities can perform corresponding operations on the nodes in the column tree in an authority range, thereby flexibly and conveniently editing the columns, supplying abundant columns for the users and improving user experience.

The invention provides a control analysis method based on an improved FMEA, thereby effectively improving the accuracy of the risk assessment and the credibility of the result analysis and promoting application of the intelligent manufacturing technology. The method comprises: M1, determining a to-be-analyzed object; M2, establishing a mathematical model for risk assessment; to be specific, defining a classification standard of a failure event, that is, a disturbance factor, affecting the to-be-analyzed object, constructing a classification frame of the to-be-analyzed object by using a tree network structure, calculating a risk assessment value by introducing a risk vector and using an operation mode of a vector die, and analyzing and determining a disturbance factor risk and an influenceon the analyzed object by combing a three-dimensional vector diagram and with the risk assessment value ranked by a data statistical method; and M3, according to the analysis and determination result,taking preventive measures against the corresponding disturbance factor and controlling or reducing the risk.

The invention discloses a cloud dial plate design method of a smart watch. The method includes the steps of creation of a cloud dial control data structure, data binding, writing of a dial simulation file, confirmation of a dial ID and the size of a dial resource file, final generation of a dial file, transmission of the dial file, storage of the dial file, initialization of a cloud dial in smart watch firmware, analysis of the dial file, and display of the cloud dial in the watch. According to the method, the occupied memory resources are small, codes are independent, coupling is low, portability is high, operability and modifiability are high, and the method has the advantages that controls are diversified, matching is flexible, and attribute elements are rich; the method supports fonts, static graphs and multi-frame dynamic graphs of different models; in the aspect of interaction, small control clicking interface jumping can be carried out, and real-time binding of various data is achieved; besides, a plurality of dial plate controls with micro-actions, different hand following effects and changeable styles are added, the data structure is clear, classification is clear, events are convenient to bind, and writing of dial plate simulation files is facilitated.

The invention discloses an environment-friendly density classification garbage can. The environment-friendly density classification garbage can comprises a processing main body, wherein a protective cover is rotationally arranged at the upper end of the processing main body, a second handle is fixedly arranged at the front end of the protective cover, the lower end of the processing main body is symmetrically and fixedly connected with first protective shells, one ends of the first protective shells are rotationally provided with first rotating shafts, door plates are installed at the outer side end of the first rotating shafts deviating from the first protective shells, a third handle is fixedly arranged at the front ends of one sides, deviating from the first rotating shafts, of the front portions of the door plates, a first handle is fixedly arranged at the rear ends of one sides, deviating from the first rotating shafts, of the rear portions of the door plates, and a bottom plate is fixedly arranged at the lower ends of the first protective shells. According to the environment-friendly density classification garbage can, garbage can be classified into two types through different garbage densities, so that the use requirements can be better met.

The invention provides an intelligent bookcase. The intelligent bookcase comprises a cabinet body. The intelligent bookcase also comprises a book limiting device arranged at one book taking and putting side of the cabinet body, a control terminal which controls the book limiting device and is written with an embedding system and a network interface which provides extraneous communication for the control terminal. An internal portion of the cabinet body comprises a book putting area unit segmented by a separation plate. The control terminal comprises a power control system controlling the book limiting device and the book putting area unit and an RFID read-write system identifying a reader and a book attribute. The RFID read-write system comprises a reader identity RFID reader arranged in the cabinet body. The intelligent bookcase does not have a glass steel window so that a condition that glass hurts a student can be prevented; especially through electromagnetic guide rail and shift lever designs, books can be conveniently managed, large data is easy to collect, and usage is convenient and durable performance is possessed; and an inclined plane with a 3-degree inclination angle is arranged and RFID identification can be easily performed because of outward inclination.

The invention relates to a draught fan clustering method and device for a wind power plant. The method comprises the steps that S1, acquiring draught fan characteristics of all draught fans of the wind power plant; S2, generating a space vector of each fan according to the fan characteristics of each fan; S3, obtaining a clustering result of draught fans of the wind power plant by utilizing a space vector of each draught fan and an optimized condensation hierarchical clustering algorithm; the device comprises a memory and a processor, the processor calls a program of the draught fan clusteringmethod stored in the memory of the wind power plant to obtain a draught fan clustering result of the wind power plant, and grid connection of the wind power plant is carried out. Compared with the prior art, the invention has the advantages that the clustering result is more accurate and efficiency is higher.