80results 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 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 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 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 discloses a population property classification method and device based on anchor texts and peripheral texts in URLs. The method comprises the first step of acquiring the anchor texts and the peripheral texts in the URLs clicked by unknown users within a preset time period, the second step of classifying the URLs into different catalogues according to the anchor texts, the peripheral texts and a pre-established first classification model, wherein the first classification model is obtained by conducting classification training through classified catalogues on the Internet, and the third step of conducting population property classification prediction on the unknown users according to catalogue feature information under different catalogues and a pre-established second classification model, wherein the second classification model is obtained by conducting classification training according to the catalogue feature information under the catalogues which the URLs clicked by known users belong to and population properties.

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 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 a backpack, which includes a bag body and a strap. The bag body is provided with a portable storage bag, a horizontal baffle, and a detachable baffle. The backpack also includes a paper storage bag and a tension belt with a lock buckle. Divided into bag body and bag cover, the bag cover is located on the front side of the bag body and connected with the bag body through a zipper, the strap is located on the back side of the bag, and the paper drawer storage bag is relatively connected on both sides of the bag body, connected by a lock buckle on the inside of the cover. Compared with the prior art, the backpack has a more reasonable classification design, and the user can find needed articles in time. In addition, when the baby needs to change the diaper outdoors, the bag cover can be opened and laid flat on a horizontal surface, and the baby can be fixed on the upper side of the bag cover by a tension belt with a lock buckle to change the diaper. The backpack of the invention has high functionality and is convenient to use, avoids inadequate care of infants and young children outdoors, and provides a backpack that better meets the needs of infants and young children for going out.

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.