38results about How to "Classification is flexible" patented technology

The invention discloses a home-based care for the aged intelligent service system. Based on a system platform, four service modes of emergency rescue, medical service, life help and active care are constructed on the basis of an elder database, a call center, a community medical center and an emergency call terminal. Relying on an intelligent service system with integration of social service resources, home-based medical care together with elderly care services including emergency rescue, medical service and life help are comprehensively provided for the aged. An informatization and intellectualization virtual nursing home operation mode with "public welfare as the premise, socialization as the basis and marketization as the supplement" is established so that continuous, healthy and rapid development of home-based medical care together with elderly care service industry is promoted.

According to a middle-season rice information decision tree classification method based on multi-temporal data feature extraction of the invention, selected GF-1 image data has the advantages of high spatial resolution and high temporal resolution. On the basis, a variety of characteristic parameters for rice distribution extraction based on a single-temporal image are used, the advantages of timing analysis based on a multi-temporal image are utilized, multiple parameters and multiple temporal phases are combined organically, and the distribution of middle-season rice is extracted by means of knowledge decision tree classification. Through use of a variety of characteristic parameters, non-target surface features can be eliminated better. Multi-temporal analysis is conducive to the elimination of wrongly-classified surface features caused by 'different surface features, same spectrum' and the extraction of target surface features. Decision tree classification has the characteristics of being flexible, visual, efficient, and the like. Therefore, by integrating all the advantages, the precision of middle-season rice extraction is further improved. The method is of positive significance both to the food security system of a country and to the commercial application of remote sensing in agriculture.

An apparatus for storing and dispensing of a plurality of items of stock (34) such as pharmaceuticals comprises a plurality of storage regions (20), e.g. shelves (26) and a dispensing station (48). The storage regions (20) are arranged to circulate around a continuous path (10) such that each storage region (10) is periodically brought into alignment with the dispensing station (48) so as to allow items to be removed from the storage region (20) at the dispensing station (48).

The invention provides a goods sorting system based on RFID technology, which is mainly characterized in that a goods timing dispenser is arranged at one end of a conveyor belt of a conveying mechanism, and a plurality of goods taking-down devices are arranged under the conveyor belt; a system control center is connected with a programming port of a PLC controller of the conveyor belt of the conveying mechanism through an RS232 serial port and connected with a programming port of a PLC controller of the goods taking-down devices through the RS232 serial port, goods testing devices are fixed corresponding to both ends of the conveyor belt of the goods taking-down devices and a recycling bin at the end of the conveyor belt, and the signal wires of all goods testing devices are connected witha liquid crystal display having an alarming function; the whole system in the invention only needs one RFID identification system, and has low cost and simple structure; after information is set by aworker, the work needing to do is only to wait for a message sent from a recycling testing device and to change the recycling bin, and the working efficiency is improved; the invention is suitable for technical fields needing to sort goods, such as retail sales, warehouse management, library management and the like.

The invention provides a document classification method and apparatus. The method comprises the steps of obtaining a plurality of training documents and determining a type corresponding to each training document; according to the training document corresponding to each type, determining an eigenvector of each type, wherein the eigenvector comprises word strings occurring in the corresponding current type and an occurrence probability of each word string in the current type; obtaining a current to-be-classified document and extracting a matched eigenvector of the current to-be-classified document from the current to-be-classified document, wherein the matched eigenvector comprises to-be-matched word strings occurring in the current to-be-classified document; according to the to-be-matched word strings in the matched eigenvector and the occurrence probability in the eigenvector of each type, determining the similarity between the matched eigenvector and the eigenvector of each type; and taking a type corresponding to an eigenvector with the highest similarity as the type of the current to-be-classified document. According to the document classification method and apparatus provided by the invention, the document classification can be performed more flexibly.

The invention discloses a method for classifying data packets. The method comprises preprocessing a rule set by a CPU and classifying data packets by a GPU. The preprocessing is executed before the data packet classification, preprocesses the rule set in order that subsequent packet classification can be operated, and is completed in the CPU. The data packet classification is the core of the method, classifies the data packets, and outputs rule numbers with the highest priority and matching the data packets, and is completed in the GPU. The method fully utilizes the hardware features and advantages of the GPU and is superior to a conventional data packet classifying algorithm in performance.

The embodiment of the invention provides an access control method, equipment and system and a storage medium. A configuration server in the system is used for determining a file type to which each file of a data party in a business system belongs, and generating authentication information for each file aiming at different access roles according to access permissions of different access roles underthe file type to which each file belongs, outputting the authentication information of each file for different access roles to a service system; the service system is used for receiving a file accessrequest of a user, the file access request is used for requesting to access a target file, and carrying authentication information corresponding to the target file acquired according to an access role of the user in the authentication request and sending to the authentication server; and the authentication server is used for generating an authentication result according to the authentication information corresponding to the target file and sending the authentication result to the service system, so that the service system processes the file access request according to the authentication result. Therefore, more flexible and more accurate access control can be realized.

The present invention provides an assessment method of a health state of a distribution primary device. The method comprises the steps of: establishing an index layered space model expressing a stateof a distribution primary device; performing normalization processing of the indexes, distribution of index weight values and determination of object elements to be assessed; and establishing a classical domain model and a joint domain model, and calculating an association degree value of the indexes and the state of the device. According to the technical scheme, the assessment method of the health state of the distribution primary device employs an object element extendable integration assessment method of an improved association degree function to perform information fusion, the assessment system is flexible in grade division, an assessment result of a single index is more refined, a device integration assessment result is accurate and concrete, the computing process is simple, and therefore, the assessment method of the health state of the distribution primary device is suitable for assessment work of the states of distribution primary devices with large installation quantity and wide installation areas.

The present invention provides an abnormality detection optimization method oriented to power grid spatio-temporal data. The method comprises the following steps: (1) performing mesh division on a power distribution device according to spatial positions, then carrying out uniform division on power distribution power curves of acquisition devices in all meshes according to time, and defining a Gaussian distribution for power-distribution average power in each division; (2) establishing a null hypothesis and an alternative hypothesis; (3) estimating parameters, i.e. estimating values of testing parameters TP in the null hypothesis and the alternative hypothesis according to a maximum likelihood estimation method; (4) carrying out pruning optimization; (5) calculating a likelihood ratio of three-dimensional spacial data, wherein the higher the ratio is, the more obvious the abnormality of an area is; and (6) outputting first K abnormal areas by adopting a heap sort algorithm, and according to chi square distribution and in combination with a confidence level, acquiring an abnormality threshold. According to the abnormality detection optimization method provided by the present invention, power distribution network monitored data is classified so as to improve a fault detection technology aiming at a power distribution network and efficiently process interference of outside factors to power scheduling.

A method for classifying file includes setting at least one classification character to obtain all combinations of classification character-sampling, analyzing bit stream of file to be classified to obtain combination of classification character-sampling for file to be classified and confirming classification of file to be classified according to obtained all combinations of classification character-sampling and obtained combination of classification character-sampling for file to be classified. The file sorter used for realizing said method is also disclosed.

A 3 fiber line switched ring (3FLSR) provides protection for (optical) transmission networking wherein N nodes are connected via 3 lines (or optical fibers) in a ring topology. Two of the three fibers form a main transmission line and may transmit in one direction in the ring whereas the third might transmit in the opposite direction. This architecture of the 3FLSR provides a dual protection scheme, including a bi-directional line switching coupled with a unidirectional line switching. Traffic is categorized based on the level of protection available for the particular traffic type. The first two transmitting fibers form a bi-directional ring, carrying primary and secondary traffic which can survive 2 and 1 failures on the ring respectively. The third fiber may form a unidirectional ring, carrying additional traffic that can be pre-empted in case of multiple failures in the bi-directional ring. The 3FLSR enables reconfiguration of existing 2 / 4 fiber rings and conforms to applicable standards.

The invention belongs to the technical field of computer vision and artificial intelligence, and discloses a combined zero sample image classification method based on hierarchical feature fusion. According to the method, a solution based on hierarchical feature fusion is innovatively provided for the technical difficulty of combined zero sample image classification. According to the method, features of different depths in a CLIP model visual encoder are selected and subjected to hierarchical fusion, multi-level and multi-scale visual information is effectively extracted, the fused features are further used for visual and semantic cross-modal interaction, and the understanding ability of the model for complex combinations is remarkably improved. In addition, by introducing a specific loss item, attributes and object features are effectively separated, and the feature aliasing problem is avoided. In a combined zero sample image classification task, the method shows excellent generalization ability and recognition effect, and can significantly improve the classification performance of the model for unknown complex combined images.

The invention discloses a vehicle-mounted ad-hoc network intersection prediction routing method based on a CP (Counter Propagation) neural network, and mainly aims to solve the problems of frequent link fracture among nodes in a data packet forwarding section, large data packet transmission delay and low transmission success rate due to high-speed moving of vehicles, frequent change of network topology and a plurality of vehicle distribution densities in a traffic environment. According to the implementation scheme, a next section priority at which data packets are forwarded on an intersection is classified by use of the CP neural network; when a node arrives at the intersection, an average link communication probability of adjacent sections, average node densities of the adjacent sections and a distance ratio of a distance from a next intersection to a destination to a distance from the current intersection to the destination are taken as inputs of the CP neural network in one Hello message period; the priorities of adjacent data packet forwarding sections are taken as outputs; and a section with a highest priority is selected to be an optimal data packet forwarding section. Through adoption of the vehicle-mounted ad-hoc network intersection prediction routing method, the data packet forwarding success rate is increased, and the transmission delay of the data packets is shortened. The method can be applied to a vehicle-mounted ad-hoc network.

The invention discloses a live broadcast platform commodity transaction method and device, a server and a medium. The commodity transaction method comprises the following steps: S1, a seller user applies for the authority of a live broadcast platform live streamer and opens online live broadcast; S2, the seller user displays the commodity information in the live broadcast room and the transactionlink address of the commodity on the digital transaction platform; and S3, after the buyer user selects the commodity, skipping is performed to a digital transaction platform for transaction operationthrough the transaction link address displayed on the live broadcast room, and transaction data is generated. According to the invention, online commodity transaction can be realized, transaction efficiency is improved, and circulation of commodities and digital currency is optimized.

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 a rotary pencil holder facilitating the selection. The pencil holder comprises a supporting plate and an inner cylinder; the surface of the supporting plate is joggled with a supporting column; a first bearing is arranged at the bottom of the inner cylinder; the surface of the supporting column is connected with an inner ring of the first bearing in a sleeving mode, the surface of the supporting column is in threaded connection with a lifting plate, and the surface of the lifting plate is in joggle joint with a plurality of limiting rods; the inner wall of the inner cylinder is provided with a plurality of limiting grooves, the surfaces of the limiting rods are in sliding connection with the inner walls of the limiting grooves, and the surface of the lifting plate isin joggle joint with a supporting rod. The invention relates to the stationery field. When the pencil holder is in use, the pencils can be respectively taken out according to different lengths of the pencils, and the operation is simple, thereby avoiding the pollution and inconvenience. Meanwhile, the classification can be flexibly adjusted according to the length change of pencils, and therefore, the problem that pencils of different lengths are inconvenient to take out of a common pen container according to the length and the length change of the pencils in the using process is effectivelysolved.

The invention relates to the technical field of music information retrieval, in particular to an automatic classification method and system for music works, and the method comprises the following steps: based on the classification standard of music genre, analyzing the hierarchical node relationship of the music genre, extracting the corresponding hierarchical characteristics of the large class and the small class of the genre, identifying the association proportion between each hierarchy, and analyzing the hierarchical connection strength. And generating a music genre level weight table. According to the method, through deep analysis of a music genre hierarchical structure, finer and dynamic classification of music works is realized, the classification accuracy and flexibility are significantly improved, through extraction of hierarchical features and revelation of association between hierarchies, music classification not only breaks through limitation of simple labeling, but also can reflect hierarchical relationships between genre, and the classification efficiency is improved. The chord change rule and amplitude are extracted, the dynamic capture of music features is enhanced, the association of chord change and genre level features is matched, the classification weight is dynamically adjusted, genre features are accurately matched, and the diversity and complexity of music creation are better adapted.

The invention discloses a screening device for pineapples and a screening method thereof. The screening device for the pineapples comprises a top plate, a mounting frame is fixedly connected to the lower surface of the top plate, a conveying device is arranged in the mounting frame, two rotating plates are arranged below the top plate, a fixing base is arranged above one side of each rotating plate, a sliding block is connected into each fixing base in a sliding and penetrating mode, supporting rods are arranged on the front surfaces and the back surfaces of the sliding blocks, two hydraulic cylinders are arranged on the front surface of the mounting frame, pushing plates are fixedly connected to one ends of pushing rods, and rotating devices are arranged at the tops of the rotating plates. According to the screening device and the screening method thereof, the arrangement mode that the rotating plates and the hydraulic cylinders cooperate with each other is utilized, the pineapples push the bottoms of the rotating plates, the rotating plates can rotate with the axes of second round rods as the circle centers, the rotating plates drive the bottoms of the supporting rods to move, then the hydraulic cylinders operate to drive the pushing rods to move, and therefore the pineapples can be automatically sorted and collected, a large amount of manpower and material resources are reduced, and sorting of the pineapples is more flexible.

The invention discloses a file classification method. Files stored in a smart television are stored through a database table established by SQLite, various file types can be flexibly set for storage,file formats are not limited, and meanwhile other applications can conveniently read the files. The SQLite is a light database and is already embedded into the Android system, so that the SQLite is very convenient to use; and meanwhile, the SQLite occupies very few resources, and is very friendly to equipment with relatively low configuration, such as Android televisions. The invention further provides a file classification device, file classification equipment and a computer readable storage medium, which also have the above beneficial effects.

According to the middle rice information decision tree classification method based on feature extraction in multi-temporal data in the present invention, the Gaofen-1 image data selected by it has the advantages of high spatial resolution and high temporal resolution. On this basis, the present invention It not only uses a variety of characteristic parameters used in the extraction of rice distribution from single-temporal images, but also combines the advantages of time-series analysis of multi-temporal images to organically combine multi-parameters and multi-temporal phases, and extract The distribution of middle rice. A variety of characteristic parameters can better eliminate non-target features. Multi-temporal analysis can help to eliminate misclassified features caused by foreign objects with the same spectrum, and can further extract target features. Decision tree classification is flexible, intuitive, and Features such as high efficiency. Therefore, combining these advantages can further improve the accuracy of mid-season rice extraction, which is of positive significance to both the national food security system and the commercial application of remote sensing in agriculture.

The invention provides a method for evaluating the health state of main power distribution equipment, which includes establishing an index layered space model that characterizes the state of main power distribution equipment; performing normalization processing on the indicators, assigning index weight values, and determining the objects to be evaluated Element; establish classical domain and node domain models and calculate the correlation value between indicators and equipment status. The technical solution provided by the present invention adopts the matter-element extension comprehensive evaluation method of the improved correlation function for information fusion, the evaluation system grade division is flexible, the evaluation result of a single index is more refined, the overall evaluation result of the equipment is accurate and specific, and the calculation process is simple and applicable. It is suitable for the status assessment of power distribution equipment with a large number of installations and a wide installation area.

The invention discloses a multifunctional toolbox for animal husbandry and veterinary use, which mainly comprises a bottom plate, a side plate, an upper cover, a bottom shell, a blocking rod, a fourth shell, a first shell, a second shell and a third shell. A bottom casing is fixedly installed in the middle of the top of the bottom plate, and the left and right symmetrical dry waste grooves and wet waste grooves are divided inside the bottom casing. The present invention is reasonably designed in structure, and the tool box adopts a layered flexible structure. After opening, the upper and lower shells are opened at the same time without blocking each other, and it is very convenient to pick and place tools of different layers; the structure distribution is reasonable, and the internal classification is convenient. , The waste is recycled and stored at the bottom, which is convenient for later cleaning, and it is not easy to cross infection with tools; when the device carries things for a long time, the structure is flexible, making it convenient to carry and take.

The invention provides a method and a system for extending garbage classification by an intelligent garbage can. The above-mentioned method and system for expanding garbage sorting by smart garbage cans detect whether the peripheral garbage can is connected through the main control chip; Prompt information to the user terminal; classify and configure the peripheral trash can through the user terminal; the main control chip generates a corresponding voice recognition control command to realize voice control of the opening and closing of the peripheral trash can, and the user It can flexibly expand the peripheral garbage cans without adding the main control chip, expand the number of similar garbage cans or flexibly add new garbage classifications to achieve personalized expansion effects and save expansion costs.

The utility model relates to the field of experimental steel cabinets, in particular to a steel cabinet convenient to store and classify. The technical problems that in the using process of the steel cabinet, partition storage and placement cannot be achieved, taking and taking are not convenient, articles are knocked down and damaged, and unnecessary losses are caused are solved. According to the technical scheme, the steel cabinet convenient to store and classify comprises a fixed cabinet body and further comprises a first storage cavity, a transparent observation window, a supporting plate, a classifying assembly, a second storage cavity, a second partition plate and a second box door. By arranging the supporting plate, the position of the supporting plate can be adjusted according to the sizes of different stored articles, the articles can be better classified and sorted through flexible adjustment, then small articles are stored and placed through the classification assembly according to needs, the first tray and the second tray can be rotated, and the needed articles can be flexibly taken; test tubes required by experiments can be stably and independently placed on the third tray, so that a user can conveniently and clearly take and use the test tubes.

The invention provides a goods sorting system based on RFID technology, which is mainly characterized in that a goods timing dispenser is arranged at one end of a conveyor belt of a conveying mechanism, and a plurality of goods taking-down devices are arranged under the conveyor belt; a system control center is connected with a programming port of a PLC controller of the conveyor belt of the conveying mechanism through an RS232 serial port and connected with a programming port of a PLC controller of the goods taking-down devices through the RS232 serial port, goods testing devices are fixed corresponding to both ends of the conveyor belt of the goods taking-down devices and a recycling bin at the end of the conveyor belt, and the signal wires of all goods testing devices are connected with a liquid crystal display having an alarming function; the whole system in the invention only needs one RFID identification system, and has low cost and simple structure; after information is set by a worker, the work needing to do is only to wait for a message sent from a recycling testing device and to change the recycling bin, and the working efficiency is improved; the invention is suitable for technical fields needing to sort goods, such as retail sales, warehouse management, library management and the like.

The invention relates to an abnormal message classification method and device, computer equipment and a storage medium. The method comprises the steps of obtaining an abnormal message; setting a labelfor the abnormal message according to a label library; performing statement word segmentation on the abnormal message according to the label and the word segmentation library of the abnormal message;obtaining the similarity among the plurality of abnormal messages according to a statement word segmentation result; enabling the similar abnormal messages to enter the same sub-bucket, and enablingthe dissimilar messages to enter different sub-buckets, wherein the label library and the word segmentation library are updated according to message attributes, and the message attributes comprise a platform server corresponding to the message, a protocol corresponding to the message, an interface corresponding to the message and a region corresponding to the message. According to the invention, the abnormal message classification efficiency can be improved, and the problem of unreasonable abnormal message classification is solved.

The present invention proposes a property data processing method, device, equipment, and medium based on a real-time data warehouse. The method includes: constructing a first mapping table that records a preset DW layer, a data type identifier, and a database identifier, and constructing a second mapping table that records the mapping relationship between a preset DM layer, a preset functional unit, and a preset DW layer; storing the real-time business data carrying the first identifier and the second identifier in the associated preset ODS layer, the first identifier is used to characterize the data type, and the second identifier is a database identifier; based on the first mapping table, saving the real-time business data from the preset ODS layer to the preset DW layer; each preset DM layer obtains the real-time business data from the preset DW layer based on the second mapping table, generates functional business data, and then sends it to the corresponding preset functional unit. The first identifier, the second identifier, and the first mapping table are used to realize flexible classification of data storage, and the second mapping table is used to ensure the accuracy of input and output data of each DM layer, thereby improving the reliability of data application.