33results about How to "Classification is flexible" patented technology

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 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 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 data packet classification method, which includes CPU preprocessing rule set and GPU execution data packet classification. run. Preprocessing operations are done on the CPU. The packet classification operation is the core part of the algorithm, which classifies the input data packets and outputs the rule number with the highest priority matched by the data packets. Packet classification operations are done on the GPU. The invention makes full use of the hardware characteristics and advantages of the GPU, and has greater performance advantages than conventional data packet classification algorithms.

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.

A method for shape classification of an object is provided. Shape categories are provided which specify a plane and points therein relative to the object, and also specify at least one limit coordinate for each such point, the limit coordinate defining a boundary in a direction normal to the plane for the shape of the object considered in order for the object to be classified into a respective shape category. The shape categories can be provided by a user, making the method very flexible. The shape categories can in particular be derived from a set of samples of objects representing a shape category to be defined. For classification, the position of a surface of the object is measured at each of the points defined in the shape category, and the result is compared with the corresponding limit coordinate.

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 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 method and device for classifying pictures. Wherein, the method includes: determining the classification basis of the target picture; extracting the picture features of the target picture from the target picture according to the determined classification basis, wherein the picture features include classification features of at least two dimensions belonging to the determined classification basis; The extracted image features classify the target image. The invention solves the technical problem that the classification results obtained by classifying the target pictures have large errors because the related technology adopts a fixed classification basis and a single classification feature is used to classify the target pictures during specific classification.

The invention relates to a soft component classification registration method based on field ontology, including the following steps: constructing a soft component attribute public ontology; establishing a field model of the specific field, and under the field model supporting, refining the soft component attribute public ontology, to obtain a specific field soft component attribute ontology; using the ontology tools to describe the specific field soft component attribute ontology, and output the ontology file in a standard format; constructing the specific field soft component registration unit model, and establishing the soft component database mapping unit model; constructing the specific field-oriented soft component registration model, and establishing the mapping relation between the specific field-oriented soft component registration model and other registration models; using open-source tools to analyze the ontology files, and generating the soft component registration template, and using the soft component registration template to process component registration. The soft component classification mechanism of the invention is flexible, easy to expand, and it can automatically achieve the generation of the registration template, and the soft component database constructed based on international standards (ISO / IEC 19763) has strong opening, universality and interoperability, and facilitate to the sharing and reuse of soft component resource.

A method for shape classification of an object is provided. Shape categories are provided which specify a plane and points therein relative to the object, and also specify at least one limit coordinate for each such point, the limit coordinate defining a boundary in a direction normal to the plane for the shape of the object considered in order for the object to be classified into a respective shape category. The shape categories can be provided by a user, making the method very flexible. The shape categories can in particular be derived from a set of samples of objects representing a shape category to be defined. For classification, the position of a surface of the object is measured at each of the points defined in the shape category, and the result is compared with the corresponding limit coordinate.