34results about How to "Help capture" patented technology

The invention discloses an epilepsy magnetoencephalogram spinous wave automatic detection method and a traceability positioning system. The method comprises the following steps: 1) segmenting magnetoencephalogram data of each sample to obtain a plurality of magnetoencephalogram data segments; wherein each magnetoencephalogram data segment is a data set in the form of a two-dimensional matrix withthe size of M * N; 2) training a magnetoencephalogram multi-view spine wave detection model by using the magnetoencephalogram data segment; 3) performing artifact removal operation on the magnetoencephalogram signal to be processed, and then segmenting magnetoencephalogram data to obtain a plurality of magnetoencephalogram data segments; 4) respectively inputting the obtained magnetoencephalogramdata fragments into the trained magnetoencephalogram multi-view ratchet detection model to obtain ratchet classification results corresponding to the magnetoencephalogram data fragments; and 5) determining whether the to-be-processed magnetoencephalogram signal has the ratchet wave or not according to the obtained ratchet wave classification result. According to the invention, the working processof a doctor is simplified, and the doctor can be effectively assisted in carrying out preoperative evaluation on an epilepsy patient.

The invention discloses a multi-scale CNN-BiLSTM non-coding RNA interaction relationship prediction method with introducing attention, and belongs to the field of bioinformatics and deep learning. Themethod comprises the following steps: (1) proposing a coding mode k-mers suitable for a gene sequence; (2) using a multi-scale convolution kernel for replacing a single-scale convolution kernel, so that topic features with different lengths between sequences are captured, the feature diversity is enriched, and the model prediction performance is improved; carrying out down-sampling on each convolved feature map by using a plurality of pooling windows with different scales, so as to avoid ignoring potential effective information; (3) fusing a BiLSTM model on the basis of the CNN, so that long-distance information dependence between sequences can be better processed, and feature information is fully learned; and (4) introducing an attention mechanism, and distributing different weights to different words in the text vector by using the attention mechanism to distinguish the importance of the information, so that the attention mechanism pays more attention to the key information, and thepurpose of enhancing learning is achieved.

A method and system of imaging of a vessel is provided. The system can include a matrix transducer array (120) for transmitting ultrasonic waves into a region of a body having a vessel and receiving echoes in response, where the echoes are associated with blood flow through the vessel; and a processor (100) operably coupled to the matrix transducer array. The processor can adjust positions of sample volumes (250) associated with the echoes. The processor can electronically steers the ultrasonic waves at one or more of the positions of the sample volumes. The processor can determine a wall of the vessel at each of the positions of the sample volumes based on a Doppler spectrum captured at each of the positions of the sample volumes. Other embodiments are disclosed.

The invention discloses a vehicle-mounted traveling record management system used for a large van. The vehicle-mounted traveling record management system comprises an image monitoring module, a vehicle condition judgment module, a GPS module, an outer receiving module, a wireless communication module and a driving prompting module. By the adoption of the vehicle-mounted traveling record management system used for the large van, multiple cameras are arranged for panoramically monitoring the front side, the rear side, the left side and the right side of the van, the problem that a vision dead zone is generated due to the high driving position of the van is solved, the traffic safety coefficient can be better increased, and parking is convenient. By the adoption of the wireless communication module of the system, the van can be located and checked in real time by a driver and a van management center conveniently.

The invention discloses a traffic speed prediction method. The method comprises the following steps of acquiring a data set including road network information and vehicle speed information; extracting spatial correlation of K-order adjacent road sections in the road network by using a graph attention mechanism, and outputting a vehicle speed feature matrix V (K) of each road section; and using a time convolution network to learn a time rule of V(K), outputting a time sequence feature matrix, using a multi-head self-attention mechanism to learn a coupling relation between the feature matrixes, and outputting the coupling relation. According to the invention, the graph attention mechanism and the time convolution network are used to extract space dependence and time dependence; and the multi-head self-attention mechanism is introduced to extract a space-time coupling effect, and the multi-head self-attention mechanism can learn information from different representation subspaces at different positions so that the time information of a traffic flow can be captured, and higher prediction precision can be realized.

The invention relates to a coal-fired power generation and renewable energy power generation coupled carbon dioxide trapping method and system. The electric energy of a renewable energy power generation system is used as energy for electrolysis of water to obtain hydrogen and oxygen, and the oxygen is supplied to a coal-fired power generation system for oxygen-enriched combustion of coal. Meanwhile, carbon dioxide in combustion tail gas in the coal-fired power generation process is captured, the hydrogen and the captured carbon dioxide are subjected to a catalytic conversion reaction, and the carbon dioxide is converted into a product. The redundant electric energy generated by renewable energy power generation is used for electrolyzing water to produce hydrogen, which is a clean hydrogen production mode. A reasonable absorption mode is provided for the redundant electric energy, energy waste is reduced, cheap electric energy is provided for producing hydrogen by electrolyzing water, the production cost of hydrogen energy is greatly reduced, and reasonable allocation and full utilization of energy are realized on the whole.

The invention discloses an unmanned vehicle camera system. The system comprises monocular cameras, a camera array, pan heads, a data processing system and an unmanned vehicle. The pan heads are installed on the two sides and the middle of the unmanned vehicle and used for adjusting the shooting direction of the corresponding camera and improving the stability of the camera. The monocular cameras are installed on the pan heads located on the two sides to form the wide-baseline camera array. The camera array is installed on the middle pan head and used for obtaining the image information of thesurrounding environment of the unmanned vehicle and the tracking target. The data processing system is installed in the unmanned vehicle and connected with the monocular cameras, the camera array andthe pan heads and used for controlling the pan heads and obtaining image information captured by the cameras and then processing the image information. The system has the combination of the short-baseline camera array and the wide-baseline camera array to generate multiple parallax and depth maps so as to obtain the accurate depth information of the surrounding environment of the unmanned vehicle.The short-baseline camera array is additionally arranged for realizing synthetic aperture imaging for tracking the occluded object, i.e. de-occlusion is realized, and the high-resolution and high-dynamic fusion image can be obtained.

The invention discloses an apparatus for purifying hydrophobic organic waste gas and a purifying method therefor. The apparatus includes, in a successively connected manner, a waste gas collection mechanism, a waste gas heat exchange mechanism, a waste gas dust removal mechanism, a dielectric barrier discharge reactor, a power supply mechanism, and a biomembrane reactor. In the apparatus, dielectric barrier discharge is used for pretreatment for initially decomposing the hydrophobic organic waste gas, and meanwhile, by means of foam carbon as a carrier for supporting a metal catalyst, a byproduct, ozone, which is generated in the discharge process, is catalytically decomposed to generate an active oxygen substance that can improve decomposition of the hydrophobic organic waste gas, thus breaking the hydrophobicity of the pollutants, effectively improving efficiency and effect of treatment on the organic waste gas, and meanwhile reducing ozone emission.

The invention discloses a remote sensing image semantic segmentation method based on parallel cavity convolution, and relates to the technical field of remote sensing images, and the method comprises the following steps: obtaining a high-resolution remote sensing image in advance, and carrying out the slicing, normalization and standardization of the high-resolution remote sensing image, and obtaining a source high-resolution remote sensing image; initializing a low-layer network of a feature extraction network resnet101 based on a resnet101 parameter pre-trained on an ImageNet, constructing a parallel cavity convolutional network, and extracting a shallow-layer feature of a source high-resolution remote sensing image; inputting the shallow layer features into a parallel dilated convolutional network to obtain multi-scale information, and fusing the multi-scale information; and fusing the fused features with the shallow features again, and repairing image-level information by using a full-connection conditional random field to obtain a semantic segmentation result. Under the condition that extra parameters are not increased, the receptive field of convolution is expanded, and compared with standard convolution achieving the same receptive field, the parallel cavity convolution method can save more video memories.

The invention provides an anti-theft cable clamp and a system thereof. The anti-theft cable clamp comprises a first clamp body and a second clamp body, wherein the first clamp body and the second clamp body are mutually pressed into a whole so as to form a cable slot used for placing a cable at one end; the first clamp body is provided with a reed pipe; and a bar magnet is arranged on the second clamp body corresponding to the reed pipe. When the first clamp body and the second clamp body of the anti-theft cable clamp are pressed together, the cable is fixed, so that the difficulty in damaging the anti-theft cable clamp and stealing the cable is increased. On the basis of the condition, the reed pipe and the bar magnet form a loop. Under normal conditions, the loop is a close loop if the anti-theft cable clamp is not damaged; and under the condition that the anti-theft cable clamp is stolen, the anti-theft cable clamp is damaged, namely the loop formed by the reed pipe and the bar magnet is changed into an open loop immediately, so that an alarm is sent.

The invention belongs to the technical field of ore pulp flotation, and particularly relates to a non-ferrous metal mine flotation process. The process includes the following steps that a plurality ofhollow ice balls are taken, and an electric drill is used for uniformly drilling a plurality of cylinder holes in the wall thickness direction of the hollow ice balls; a plurality of calcium oxide cylinder rods are inserted into the cylinder holes of the plurality of hollow ice balls, and calcium oxide is used for accelerating melting of the hollow ice balls; inner cavities of the plurality of hollow ice balls are filled with Arabic gum powder, and openings of the hollow ice balls are closed by ice blocks; the plurality of hollow ice balls are thrown into a machine body of a non-ferrous metalmine flotation device, a proper number of sodium carbonate saline solution is thrown into ore pulp in the machine body, and the sodium carbonate saline solution is used for reacting with the Arabic gum powder to generate lots of bubbles; and a motor on the machine body is started, and the ore pulp and the sodium carbonate saline solution are stirred. Due to the non-ferrous metal mine flotation process, the lots of bubbles can be generated due to the fact that the Arabic gum powder reacts with the sodium carbonate saline solution, generation of the bubbles is accelerated due to heat generatedwhen calcium oxide reacts with water, and the flotation quality of the ore pulp is improved.

The invention provides a question and answer prediction model training method and device and a question and answer prediction method and device. The training method comprises the steps: acquiring a training sample and a sample result, wherein the training sample comprises a sample problem and sample category information of a sample user; respectively inputting the sample problem and the sample category information into a self-attention layer for processing to generate a first sample problem matrix and a first sample category information matrix; inputting the first sample problem matrix and thefirst sample category information matrix into a mutual attention layer for processing to generate a second sample problem matrix and a second sample category information matrix; performing matching degree calculation processing based on the second sample problem matrix and the second sample category information matrix to obtain a prediction result; and performing calculation based on the prediction result and the sample result, and performing iterative training on the question-answer prediction model. The question and answer prediction model training method provided by the invention is good in training effect and high in model accuracy.

The invention discloses a traffic speed prediction method, which is characterized in that the method comprises: acquiring a data set, the data set including road network information and vehicle speed information; Spatial correlation and output the vehicle speed feature matrix V(K) of each road section; use the time convolution network to learn the time law of V(K) and output the time series feature matrix, use the multi-head self-attention mechanism to learn the coupling relationship between feature matrices and Output Through the present invention, the graph attention mechanism and temporal convolutional network are used to extract the spatial and temporal dependencies respectively, and the multi-head self-attention mechanism is introduced to extract the spatio-temporal coupling effect. The multi-head self-attention mechanism can learn from different representations at different positions. Spatial information, which helps to capture the temporal information of traffic flow and achieve higher prediction accuracy.

According to the centrifugal air purifier, a cylindrical inner cavity is formed in a shell, an air inlet is formed in one end of the cylindrical inner cavity, an air outlet is formed in the other end of the cylindrical inner cavity, a centrifugal fan is arranged in the cylindrical inner cavity, the air inlet side of the centrifugal fan is right opposite to the air inlet, and the air outlet side of the centrifugal fan is distributed on the peripheral wall of the centrifugal fan; the air outlet side corresponds to the inner peripheral wall of the cylindrical inner cavity; the photocatalyst carrier is arranged on the surface of the inner wall of the barrel-shaped inner cavity, and the ultraviolet light source is arranged in the barrel-shaped inner cavity and used for irradiating the photocatalyst carrier. By means of the centrifugal fan and the cylindrical inner cavity, air rotates at a high speed to generate centrifugal force, pollutants carried in the air are compressed on the surface of the photocatalyst carrier on the inner wall of the device, and the decomposition and disinfection efficiency can be improved; under the action of frictional resistance of the surface of the photocatalyst carrier, a continuous rolling forward vortex is generated, so that more gaseous pollutants can be captured by the photocatalyst, and the purification efficiency is improved.

The invention relates to a remote sensing image conversion map migration method based on a semi-supervised generative adversarial network. The method comprises the following steps: constructing a semi-supervised map generation model; performing supervised training on a generator and a discriminator according to the paired training data set and a preset loss function, adding transformation consistency regularization loss in a pre-training generator, performing channel width expansion on the pre-training generator, and adding expansion loss and channel loss for training to obtain an expansion generator; and initializing an unsupervised discriminator by using the weight of the pre-training discriminator, performing adversarial training on the trained extension generator, the unsupervised discriminator, the pre-training generator and the pre-training discriminator according to preset unsupervised adversarial loss, and performing map conversion on an input remote sensing image according to a trained semi-supervised map generation model. By adopting the method, the geometric accuracy and visual quality of the map generated by the remote sensing image can be improved.

The invention provides a method for preparing isosteviol through catalytic hydrolysis of stevioside by chlorinated aromatic sulfonic resin, which belongs to the technical field of organic synthesis of organic compounds. According to the invention, a chlorinated aromatic sulfonic ion exchange macroporous resin packed bed is used for continuous catalytic hydrolysis of stevioside so as to prepare isosteviol, and a step-by-step cooling and circulation manner is adopted to remove products in time and to accelerate reaction. The method provided by the invention has the advantages of high yield, simple operation, environment friendliness, good stability performance of the catalyst, etc. The strong chlorinated aromatic sulfonic ion exchange macroporous resin can maintain 97% of catalytic activity after repeatedly used 10 times. Yield of isosteviol can reach more than 95%, and purity of isosteviol is more than 98% after simple recrystallization.

The invention discloses an oil absorption and impurity removal type resin adsorption hemisphere, and belongs to the technical field of oil absorption resin. A plurality of oil stain adsorbers positioned below resin oil absorption cotton are used for upwards adsorbing oil-containing suspended matters; a resin adsorption rod positioned below a water surface is used for upwards adsorbing the oil-containing suspended matters; non-oil particles in the oil-containing suspended matters are separated from oil dirt by utilizing the matching of an outer oleophobic adsorption layer and a magnetic oleophobic adsorption layer arranged at the outer side part of the top end of the resin adsorption rod; the oil dirt is guided into the resin oil absorption cotton along with a high oil absorption cotton core; impurities such as the non-oil particles are guided to a scum adsorption body through the magnetic oleophobic adsorption layer and the outer oleophobic adsorption layer; and when scum collection balls on the scum adsorption body are adsorbed to a certain weight, the scum collection balls are separated from a guide adsorption rod and fall onto a adsorption fiber layer, so that the follow-up collection of the non-oil particles by technicians is facilitated, and after the impurities in the oil dirt adsorbed and collected in the resin oil absorption cotton are removed, subsequent recovery is more convenient.

The invention discloses a text semantic matching method and device for intelligent questions and answers of fire safety knowledge, and belongs to the technical field of natural language processing. The technical problem to be solved by the invention is how to capture more semantic context features, relation of coding information among different dimensions and interaction information among texts so as to realize intelligent semantic matching of the texts. According to the technical scheme, a text semantic matching model composed of a text embedding module, an input coding module, a multi-granularity interaction module, a feature fusion module and a prediction module is constructed and trained, so that multi-level text feature extraction of text information is realized; meanwhile, a final matching representation vector of text semantics is obtained through maximum pooling, average pooling and multiple method matching mechanisms, and then the matching degree of the text is judged. The device comprises a text matching knowledge base construction unit, a training data set generation unit, a text semantic matching model construction unit and a text semantic matching model training unit.

The invention relates to a preparation method and application of a bimetallic nano enzyme, and the preparation method comprises the following steps: (a) preparing a hexagonal metal organic framework material ZIF-67 by adopting a solvent method; (b) synthesizing nickel cobaltate (NiCo2O4) by adopting an ion replacement method; and (c) preparing the NiCo2O4-coated PVP bimetallic nano-enzyme through a one-step template self-assembly method, so that the activity of superoxide dismutase (SOD enzyme) and the activity of catalase (CAT enzyme) can be well simulated, and. OH can be effectively removed. The preparation method disclosed by the invention has the beneficial effects that after macromolecular polyvinylpyrrolidone (PVP) is wrapped by the prepared bimetallic nano-enzyme NiCo2O4 with the oxygen vacancy, the stability of the nano-enzyme NiCo2O4 in simulated gastric juice and simulated intestinal juice is remarkably improved. The nano enzyme NiCo2O4-coated PVP can be used for well simulating the enzyme activity of SOD and the enzyme activity of CAT, and can be used for effectively eliminating. OH. The nano-enzyme NiCo2O4-coated PVP is electronegative under neutral and alkaline conditions, and the particle size of the nano-enzyme NiCo2O4-coated PVP is 1t; and the wavelength is 300 nm. The nano-enzyme NiCo2O4-coated PVP has no toxic or side effect, and can effectively eliminate the generation of active oxygen in cells.

The invention discloses a synchronous measuring apparatus and method for a wall jet gas-solid two-phase velocity field. The apparatus comprises a pulverized coal furnace modeling device, waveguide tubes, microwave emitters, an infrared wide-angle lens, a visible wide-angle lens, a high-speed CCD camera, an infrared thermal imager, a pulse laser sheet light source, a polarity particle, a fluorescent particle, a fluorescent particle uniform mixing chamber, a polarity particle uniform mixing chamber, and a computer. In a gas-solid two-phase flow field, the fluorescent particle serves as a tracer particle of wall jet air flows and the polarity particle simulates solid particles in rotating air flows, and a visible image and an infrared image of the two particles are presented by two different optical devices respectively according to the different optical characteristics of the two particles. In this way, the problem of a conventional method that two-phase particles are difficult to separate is solved, and the measuring precision is greatly improved.

The invention relates to the technical field of image description, in particular to a reward in an image description model and a construction method of the image description model, and the construction method of the reward comprises the steps: obtaining label description of a test image and generation description of a preset image description model based on the test image; based on the label description and the generation description, calculating a reward of the n-tuple in the generation description; comparing the size relationship between the reward of the n-tuple and the first threshold value with the size relationship between the reward of each word in the n-tuple and the second threshold value so as to screen out the word with the reward to be increased in the generated description; and according to the label description and the reward of the n-tuple corresponding to the word with the reward to be increased, calculating the reward of the word with the reward to be increased. According to the method, higher rewards are given to words which are not frequently appeared to realize constraint, so that the problem of non-uniform word distribution can be well solved, more specific visual details of an image can be captured, and the description accuracy of the image can be improved.

The invention discloses a Thai sentence segmentation method based on a twin cycle neural network, which belongs to the field of sentence segmentation. The method of the invention does not need artificially designed features, and does not rely on part-of-speech tagging and syntactic information. Compared with existing methods, the method proposed by the present invention is more concise, and the sentence segmentation effect has also been improved; when the inventive method encodes the word sequence before and after the space to obtain the features of sentence segmentation, the words before and after the space The sequence uses the same model framework and shares the same parameters, which better considers the comparability between word sequences before and after spaces, and reduces the parameters, which is more conducive to model training; learning through word embedding and cyclic neural network The feature representation of word order helps to capture the hidden semantics in sentences, thereby improving the performance of sentence segmentation.

The invention provides an information matching method and system based on hierarchical multi-modal information fusion, which extracts the feature representation of user multi-source heterogeneous multi-modal data; The graph structure captures the external and internal relationships of users in social media, and obtains accurate representations of different sources of users; according to the representations obtained from different sources of users, adversarial learning is introduced to perform semantic discrimination, further enhance user representation, and realize user identity information match. The present invention can improve the modeling performance of user identification across social media.

The invention discloses an unmanned vehicle camera system, which includes: a monocular camera, a camera array, a cloud platform, a data processing system and an unmanned vehicle. The pan / tilt is installed at three positions on both sides and the middle of the unmanned vehicle to adjust the shooting direction of the corresponding camera and improve the stability of the camera; monocular cameras are installed on both sides of the pan / tilt to form a wide baseline camera array, and in the middle of the pan / tilt The camera array is installed on the unmanned vehicle to obtain the image information of the surrounding environment of the unmanned vehicle and the tracking target; the data processing system is installed inside the unmanned vehicle, which is connected with the monocular camera, the camera array and the pan / tilt to control the pan / tilt and obtain the camera The captured image information is then processed; the system has a combination of a short baseline camera array and a wide baseline camera array that will generate multiple disparity and depth maps, and can obtain accurate depth information of the surrounding environment of the unmanned vehicle; the short baseline camera array Adding synthetic aperture imaging for tracking occluded objects, that is, realizing de-occlusion, and helping to obtain high-resolution and high-dynamic fusion images.

The invention belongs to the technical field of photovoltaic power generation, and particularly relates to a photovoltaic power generation auxiliary energy storage unit triggering device. According to the technical scheme, the device comprises a main bottom plate, an air pressure monitoring cavity module and a switching control module, the air pressure monitoring cavity module and the switching control module are both arranged on the main bottom plate, and the output value of the air pressure monitoring cavity module is accessed to the switching control module and is output after switching control; and the air pressure monitoring cavity module comprises an air pressure monitoring cavity assembly A and an air pressure monitoring cavity assembly B which are oppositely arranged in a spaced mode, a sealing plate is arranged between the air pressure monitoring cavity assembly A and the air pressure monitoring cavity assembly B, the sides, close to the sealing plate, of the air pressure monitoring cavity assembly A and the air pressure monitoring cavity assembly B are each provided with an opening, and the sealing plate is used for sealing the openings.

The invention relates to an aminated high specific surface area polystyrene resin and its preparation method and application. The preparation method comprises: (1) preparing polystyrene resin; (2) using polystyrene resin and dichloroxylyl Methane prepares ultra-high cross-linked polystyrene resin; (3) prepares chloromethylated ultra-high cross-linked polystyrene resin; (4) prepares aminated high specific surface area polystyrene resin; the present invention selects dichloroxylene Methyl methane is used as a cross-linking agent to prepare ultra-high cross-linked polystyrene resin. Due to its relatively loose pore structure and large pore size, it can provide sufficient reaction space for the subsequent amination reaction, thereby greatly improving the amination reaction. Efficiency, finally improving the specific surface area of ​​aminated high specific surface area polystyrene resin, while ensuring the efficient removal of HCN and aldehydes, it also improves the removal efficiency of phenols.

The invention discloses a facial expression recognition method based on an improved deep convolutional generative adversarial network. The method comprises the steps of 1, acquiring a facial image data set and performing preprocessing; 2, constructing a generative adversarial network, and training the network by using the preprocessed face data set to obtain a composite image; 3, constructing a facial expression classification network, wherein a facial image data set with expression labels is used for training; and 4, connecting the generative adversarial network and the expression classification module to form a whole expression recognition network model, cutting a face image to be recognized into a set size, inputting the face image into the face expression recognition network model, and obtaining an output result to determine a face expression in the face image. The improved generative adversarial network is used for processing the original face image, and finer effective information can be extracted, so that the face expression recognition accuracy is improved.

The invention belongs to the technical field of ore pulp flotation, and particularly relates to a non-ferrous metal mine flotation process. The process includes the following steps that a plurality ofhollow ice balls are taken, and an electric drill is used for uniformly drilling a plurality of cylinder holes in the wall thickness direction of the hollow ice balls; a plurality of calcium oxide cylinder rods are inserted into the cylinder holes of the plurality of hollow ice balls, and calcium oxide is used for accelerating melting of the hollow ice balls; inner cavities of the plurality of hollow ice balls are filled with Arabic gum powder, and openings of the hollow ice balls are closed by ice blocks; the plurality of hollow ice balls are thrown into a machine body of a non-ferrous metalmine flotation device, a proper number of sodium carbonate saline solution is thrown into ore pulp in the machine body, and the sodium carbonate saline solution is used for reacting with the Arabic gum powder to generate lots of bubbles; and a motor on the machine body is started, and the ore pulp and the sodium carbonate saline solution are stirred. Due to the non-ferrous metal mine flotation process, the lots of bubbles can be generated due to the fact that the Arabic gum powder reacts with the sodium carbonate saline solution, generation of the bubbles is accelerated due to heat generatedwhen calcium oxide reacts with water, and the flotation quality of the ore pulp is improved.