43results about How to "Improve classification processing efficiency" patented technology

The invention discloses an audio frequency rapid classification method based on content, comprising the following steps: pretreatment and character extraction are carried out on audio frequency data, and a series of speech feature vectors are obtained; the speech feature vectors are converted into speech content sequences which are represented by a basic acoustic model unit AU and the speech content sequences comprising classification key words are recognized according to a created word list; the confidence score of every speech content sequence comprising the classification key words is calculated; whether the confidence score is within a set threshold distribution range is judged, and if yes, recognizing results of the speech content sequences comprising the classification key words are reserved; the recognizing results are counted, and the audio frequency data which accord with set conditions are classified according to the set of a classification task on the classification key words. The method fully utilizes content information and can realize complex classifications conveniently and process a plurality of audio data files in a parallel way. The efficiency of the file classification processing is high.

The embodiment of the invention provides a text information classification method and device. According to the method, a sample keyword information set of a text category is set in advance, and a corresponding relation between the sample keyword information set and text category information is established, so that a matching foundation is provided for subsequent classification of to-be-classifiedtext information; and during classification processing of the to-be-classified text information, keyword information is extracted from the to-be-classified text information according to preset rules,and the text category information corresponding to the to-be-classified text information is obtained through matching according to the corresponding relation between the sample keyword information setand the text category. Through the information classification mode, it is only needed to perform system automatic matching, classification processing efficiency is greatly improved, the analysis cycle is shortened, a manual allocation error is lowered, and matching accuracy is improved.

The invention discloses a message classification decision establishing system and method and a message classification system and method, which are used for establishing an efficiently-matched message classification system and realizing efficient message classification. The message classification decision establishing method comprises the following steps of: mapping all message classification rules onto a series of hyper-rectangles in a multi-dimensional space; dimensionally projecting the series of hyper-rectangles gradually in the multi-dimensional space to obtain the basic interval of each hyper-rectangle sequentially arranged on each dimension of the multi-dimensional space; and establishing a message classification decision tree for message classification according to the basic intervals. Compared with the prior art, the invention has the advantages that: the message classification decision tree established in the embodiment of the invention has a very small number of layers, and the message classification processing efficiency is high.

The invention provides a raw gas cooling and fractionation method and a coking apparatus. The raw gas cooling and fractionation method is used for recycling raw gas discharged from a coking chamber of a coke oven; according to the method, the raw gas discharged from the coking chamber of the coke oven is cooled step by step, and different fractions in the raw gas are extracted step by step according to the boiling points of the fractions in the sequence from high boiling point to low boiling point. With the raw gas cooling and fractionation method, energy consumption and pollution are reduced, production cost is lowered down, and recovery efficiency of the raw gas is improved.

The invention relates to a method, an apparatus, a computer device and a storage medium for classifying video actions, belonging to the technical field of machine learning models. The method comprisesthe following steps: obtaining a video to be classified and determining a plurality of video frames in the video to be classified; A plurality of video frames are inputted into an optical flow substitution module in an optimized video motion classification model after training, and optical flow characteristic information corresponding to the plurality of video frames is obtained. A plurality of video frames are input into a three-dimensional convolution neural module in the optimized video motion classification model after training, and the spatial characteristic information corresponding tothe plurality of video frames is obtained. Based on the optical flow characteristic information and the spatial characteristic information, the classification category information corresponding to thevideo to be classified is determined. By adopting the invention, a plurality of video frames of a video to be classified can be directly used as inputs of an optical flow substitution module in the model, and the optical flow substitution module can directly extract optical flow characteristic information corresponding to the plurality of video frames of the video to be classified, thereby further improving the efficiency of classification processing.

The invention discloses an ELM-based optimized classification method for land use and cover of hyperspectral remote sensing images, which comprises the following steps: firstly, a plurality of ELM-based classifiers are constructed, and a training data set is constructed for each ELM-based classifier; Then, T ELM-based classifiers are trained based on the training data sets of each ELM-based classifier, and the classification and prediction results of training samples in each training data set are obtained. Then, the ELM-based classifier set is pruned based on the classification prediction results. Finally, the hyperspectral remote sensing images to be classified, The spectral features of each pixel point are extracted, and the feature data of the object to be classified are obtained and inputted into the ELM-based classifiers in the set of classifiers retained after pruning, and the hyperspectral remote sensing images to be classified are classified and judged by ensemble, and the classification results of the hyperspectral remote sensing images to be classified are outputted. The invention realizes an optimized classification method for land use and cover of hyperspectral remote sensing images, which improves classification accuracy and classification processing efficiency.

The invention belongs to the field of garbage sorting, and particularly relates to a collecting vehicle for garbage sorting. The collecting vehicle comprises a compartment, a garbage cylinder and a collecting mechanism, wherein a structure for making moving of the compartment is installed on the compartment. According to the collecting vehicle for garbage sorting, garbage can be automatically sorted and processed preliminarily in the process of collecting the garbage on the ground, and the garbage at the narrow corners can be effectively collected, so that the use range of the collecting vehicle for garbage sorting is expanded, and meanwhile, the collecting range of the ground garbage is also expanded accordingly.

The invention relates to a text classification method and device based on comment data, equipment and a medium, relates to the technical field of natural language processing, and can be applied to a scene of classifying text data. The text classification method based on the comment data comprises the steps of obtaining the comment data, and performing text preprocessing on the comment data to generate to-be-processed word segmentation data; performing word vectorization processing on the to-be-processed word segmentation data to generate corresponding word vector representation data; inputtingthe word vector representation data into a target language representation model to generate corresponding sentence vector representation data; and respectively inputting the sentence vector representation data into a first classification model and a second classification model, determining whether the comment data belongs to question text data by the first classification model, and determining question type classification corresponding to the comment data by the second classification model. According to the method and the device, comment texts with quality problems and specific classifications of the quality problems can be screened out through information mining of the comment data.

The invention discloses residential household waste treatment equipment. The residential household waste treatment equipment comprises a main machine body, wherein a crushing cavity is arranged in themain machine body; the opening of the crushing cavity is designed upwards; a plurality of rotary rollers are arranged in the crushing cavity in a rolling mode, and relatively great articles such as wine bottles can be separated on the rotary rollers; two bag crushing shafts which are symmetrical left and right are rotatably arranged in the crushing cavity; crushing forks are fixedly arranged on the two bag crushing shafts; the crushing forks can preliminarily crush household waste; and the bottom of the crushing cavity is provided with a filter screen in a vibrating mode. The residential household waste treatment equipment can automatically crush garbage bags; after crushing is accomplished, the rotary rollers rotate, so that waste such as wine bottles in garbage are exhausted outwards from an outlet, other impurities drop into the crushing cavity and are crushed by a crushing knife, and wastewater enters a decomposition cavity to decompose, so that garbage classifying treating efficiency is greatly improved. The residential household waste treatment equipment is simple in structure, is convenient to operate, and is convenient to popularize and use.

The invention belongs to the field of ore processing, and particularly relates to an ore classification soil treatment device. The ore classification soil treatment device comprises a cleaning assembly, a scattering assembly and a classification assembly; the cleaning assembly comprises water outlet holes, sludge discharge holes, a cleaning assembly shell, a conveying assembly and a filter screen;a first support is arranged below the cleaning assembly shell; the cleaning assembly shell is obliquely arranged; the included angle between the central axis of the cleaning assembly shell and the horizontal plane is 10 degrees to 25 degrees; a water injection pipe is arranged at the upper end of the inner wall of the cleaning assembly shell; the water injection pipe is provided with a pluralityof groups of water outlet holes; the plurality of groups of water outlet holes are distributed at equal intervals in the central axis direction of the cleaning assembly shell; one end of the water injection pipe penetrates out of the cleaning assembly shell; a plurality of groups of sludge discharge holes are formed at the bottom end of the inner wall of the cleaning assembly shell; and the problem of dust pollution in the ore processing process is solved, the classification treatment efficiency is improved, and the problem that ore can cause large impact on equipment is solved.

The invention discloses ordered screening regeneration equipment for a waste battery. The ordered screening regeneration equipment comprises multiple low temperature furnaces, multiple refining furnaces, a gas pipeline, a dust extraction room, a water curtain dust removal device, a flue and a chimney, wherein the gas pipeline comprises a first gas pipeline and a second gas pipeline which are separated from each other; two first small gas supply pipes are connected between a gas chamber of each low temperature furnace and the first gas pipeline; two second small gas supply pipes are connected between a gas chamber of each refining furnace and the second gas pipeline; the gas chambers of the multiple low temperature furnaces are communicated with one another through a first transverse pipeline; the gas chambers of the multiple refining furnaces are communicated with one another through a second transverse pipeline; an exhaust chamber of each low temperature furnace is communicated with the flue through a first vertical pipeline; an exhaust chamber of each refining furnace is communicated with the flue through a second vertical pipeline; the flue is communicated with the dust extraction room; the dust extraction room is communicated with the water curtain dust removal device; an exhaust hole of the water curtain dust removal device is communicated with the chimney.

The invention discloses an outer space chili automatic classifying device. The outer space chili automatic classifying device comprises a baseplate bracket 1, a slide device 2, a conveying device 3, a color identifying module 4, a rotary classifying module 5 and a classifying barrel 6. The outer space chili automatic classifying device is characterized in that the slide device 2 is mounted on the baseplate bracket 1; the slide device 2 can be used for sending outer space chili into the conveying device 3; the color identifying module 4 and the rotary classifying module 5 are arranged above the conveying device 3; and after the color of the outer space chili is identified through the color identifying module 4, the rotary classifying module 5 can send the outer space chili into the classifying barrel 6 according to the color of the outer space chili identified by the color identifying module 4. Aiming at the problem of low efficiency in traditional manual classification of the outer space chili, the invention aims to provide the outer space chili automatic classifying device with firm structure and convenience for installation.

The invention belongs to the technical field of wastewater treatment, and particularly relates to an energy-saving treatment process for textile printing and dyeing wastewater. A settlement tank usedin the process comprises a tank body, wherein a water inlet pipe is arranged on one side of the tank body and is communicated with the tank body through a connecting pipe; one end, close to the tank body, of the connecting pipe is in flat gradual transition, so that the distribution uniformity of wastewater after being introduced into the tank body is improved; the water inlet pipe is communicatedwith a branch pipe, and the branch pipe is communicated with a flocculating agent through a valve; the tank body is provided with a group of continuously arranged wavy grooves, and sediments of different particles are classified through the wavy grooves, so that the treatment efficiency of the sediments is further improved. According to the invention, a flocculating agent is introduced into the wastewater through the branch pipe communicated with the water inlet pipe, so that the flocculating agent is matched with one end, close to the tank body, of the connecting pipe to form flat gradual transition; therefore, the wastewater in the water inlet pipe and the flocculating agent uniformly form a stratospheric layer, the dispersion uniformity of the wastewater in the tank body is improved, and the sedimentation efficiency of the flocculating agent is further improved.

The invention discloses a sludge recycling device which comprises a recycling frame, the top of the recycling frame communicates with a connecting frame, the side, away from the recycling frame, of the connecting frame communicates with a feeding pipe, supporting bases are evenly installed at the bottom of the recycling frame, and a driving motor is installed on the outer side of the recycling frame. The output end of the driving motor is connected with a rotating shaft through a transmission, the end, away from the transmission, of the rotating shaft penetrates through the recycling frame to be connected with a driving shaft, the inner wall of the recycling frame is rotationally connected with a control shaft through a control device, and a water collecting frame is installed at the position, close to the driving shaft, of the inner wall of the recycling frame. And one side of the water collecting frame communicates with a water outlet pipe, and conical baffles are evenly installed on the inner wall of the connecting frame. According to the sludge recycling device, dewatered sludge can be automatically collected, the purpose of automatically replacing the filter screen is achieved, and the sludge filtering speed is effectively increased.

The invention discloses a line channel orthoimage fused laser point cloud ground object automatic identification method comprising the following steps: collecting line channel orthoimage data, and pre-processing the line channel orthoimage data; adopting a random forest algorithm to identify and classify the corrected orthoimage; the method comprises the following steps: collecting line channel laser point cloud data and tower standing book data, preprocessing the laser point cloud data, extracting ground point cloud and tower and power line point cloud, and taking the remaining laser point cloud data as target point cloud; and carrying out point cloud segmentation on a target point cloud by taking an orthoimage classification result as a constraint condition, and carrying out fine classification on a coarse classification result by adopting a random forest algorithm to obtain a point cloud recognition result. On the basis of various characteristics of the orthoimage, the two-dimensional advantage of the orthoimage and the three-dimensional advantage of the laser point cloud are combined, the point cloud classification precision is improved, point cloud classification parallel processing is added on the basis of orthoimage classification, and the point cloud classification processing efficiency is improved.

The invention provides an information search method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a search request of a user, and determininga search purpose of the search request; if the search purpose is search for the junk classification information, analyzing the search request to obtain a first search entity; generating a first display content card of the search result according to the first search entity and the geographical location information of the user, wherein the first display content card comprises junk category information corresponding to the first search entity and junk throwing point information corresponding to the user. By the adoption of the scheme, automatic searching of the garbage classification informationand the throwing information is achieved through determination of the user position and analysis of the search entity, manpower occupation is avoided, and the garbage classification processing efficiency is improved.