45results about How to "Fully explore" patented technology

The invention provides an intelligent interaction robot system applied to a customer service center. The intelligent interaction robot system comprises an operating system module, a knowledge base module, a service management module, a channel management module, a system management module and a robot interaction module. By implementing the system, multi-channel access can be realized, the reliability is high, the safety is high, and the user experience can be improved.

The invention provides a deep learning method based on a map topological structure and entity text description. In solving the problem of knowledge map completion, the entity to be completed may already exist in the knowledge map (need to be discovered), or may not be in the knowledge map (need to be generated). For the task that needs to be discovered, it can be regarded as a knowledge map completion problem in a closed environment, and the model M1 can 'discover' the entity well; for the tasks that need to be discovered, the model M2 can fully explore the text information with the help of the attention mechanism and the circular convolution network, providing a powerful guarantee for 'generating' the entity. The combination of these two sub-models can solve the problem of complementing the knowledge map of the open world.

The invention relates to an environmental detection method and system for archaeology. The environmental detection method comprises the following steps that archaeological excavation is carried out byusing a robot body and a control body; a processor in the robot body or the control body evaluates and divides a passable area and an unpassable area in response to a parallax image collected by a camera device of the robot body; and the processor or the control body releases at least one first-class relay sensor and / or at least one second-class relay sensor based on the unpassable area, and deploys a plurality of third-class relay sensors based on the passable area, wherein the third-class relay sensors are connected mutually in a multi-hop mode and can receive information transmitted by thefirst-class relay sensors and / or the second-class relay sensors.

The invention provides a prompt method, a terminal and a server. The method includes the steps: monitoring a current status of the terminal; acquiring status description information corresponding to the current status when the current status meets preset conditions; acquiring address information of an application collection; acquiring search results generated by searching applications corresponding to the current status in the application set corresponding to the address information according to the status description information; and displaying searched results in the terminal. By the aid of the method, the terminal and the server, possible problems during use of a user are avoided, potential demands during use of a user are met, the user can more sufficiently explore mass software in an application store, and the defects that the user needs to manually search software in related technology so that search occupied time is long, and the user cannot know whether the searched software can solve the problem during use of the terminal or not are avoided.

The invention discloses a method and a device for power spectral parameter detection and analysis of pulse wave. The device comprises a master control module, a pulse wave detection sensor, a filter module, a sampling module, a liquid crystal display module, a serial port communication module, a SD (secure digital) card memory module and an upper computer software analysis system. The pulse wave detection sensor, the filter module, the sampling module, the master control module, the serial port communication module and an upper computer are connected in sequence. The master control module is respectively connected with the liquid crystal display module and the SD card memory module. Human pulse wave signals are converted into analog electrical signals through the pulse wave sensor, the analog electrical signals filtered by the filter module are converted into digital signals through the sampling module, the pulse wave signals are transmitted to the liquid crystal module for displaying after the digital signals are subjected to signal processing by the master control module, and the pulse wave signals are further analyzed through the SD card memory module and upper computer software. The method and the device can be used for accurately detecting the human pulse wave, and the device, which is simple and easy in operation, is provided for power spectral analysis of the pulse wave.

The invention relates to an unmanned aerial vehicle searching method for an underground multi-branch cave. The method comprises the steps that the current state configuration of an unmanned aerial vehicle is acquired, and the current configuration space of the unmanned aerial vehicle is acquired through a laser radar sensor; sampling is carried out in the configuration space by using a path sampling algorithm to obtain a plurality of paths of the unmanned aerial vehicle in the configuration space, and a collision-free path are reserved; the future safety of each path is calculated according to the state configuration and configuration space of the unmanned aerial vehicle at the path end point, and the future safe path is reserved; the exploration income of each path is calculated, and the unmanned aerial vehicle executes the path with the maximum exploration income. Compared with the prior art, the method has the advantages that a plurality of paths are firstly acquired, the collision-free path and the future safe path are reserved in combination with obstacle information of the configuration space, and then the path with the highest income is selected, so that autonomous exploration of the unmanned aerial vehicle in an unknown multi-branch tunnel environment can be realized at a relatively high speed, and the unmanned aerial vehicle with limited cruising ability can carry out exploration in a larger range and a farther path.

The invention discloses a separation method for simultaneously preparing five dopamine compounds from aspongopus, and belongs to the technical field of separation and purification of compound monomers. According to the method, dried aspongopus is used as a raw material, and the five dopamine compound monomers are obtained at the same time through the steps of ethanol extraction, vacuum concentration, step-by-step extraction, silica gel column enrichment and elution, efficient preparative liquid chromatography separation and product recovery; a foundation is laid for deeply researching the medicinal value of the aspongopus medicinal material and the synthesis and development of a new drug, and meanwhile, the development and utilization of traditional aspongopus resources are also facilitated.

The invention provides an image dimension reduction method of an extreme learning machine based on graph embedding, and belongs to the field of machine learning and data mining. The method comprises the following steps: firstly, selecting an original image sample set, and constructing a sample relation matrix by utilizing inter-sample distances and label information of original image samples; secondly, according to the constructed sample relation matrix, firstly, carrying out random mapping on an input vectorized image sample, and then, learning a feature extraction matrix by minimizing a weighted sample reconstruction error; and finally, performing data dimension reduction on vectorized image data by using the learned feature extraction matrix. The method is short in training time and efficient in data compression, and the compression quality and dimension reduction stability of the data are effectively improved.

The invention relates to a parallelization fuzzy test method and system based on target point task division, and aims to solve the problem of task conflict in the existing parallelization fuzzy test. And detecting code blocks which possibly have problems through a static code analyzer, and generating a target point set. By constructing CG and CFGs, the affiliation of each basic block in software and the distance between each basic block and a corresponding target point are calculated, and the affiliation information and the distance information of the basic blocks are integrated into an executable file through instrumentation compiling. A target point set can be obtained when each fuzzy test instance is started, and variation testing is carried out on seeds belonging to the target point set. And analyzing the vulnerability generated by the parallelization fuzzy tester, judging whether the vulnerability exists at the target point or not, if so, stopping exploring the target point, and further turning to other target points to continue exploring. The method is suitable for an aflgo parallelization fuzzy test model, the implementation principle is simple, and the software vulnerability detection efficiency is high.

The invention discloses an intelligent marketing system based on Internet big data, and the key points of the technical scheme are that the system comprises a cloud platform and an e-commerce platform; the e-commerce platform comprises a login module, a transaction module, a transportation module, an after-sales module and a marketing module, and the cloud platform and the e-commerce platform carry out data exchange and transmission through the Internet; the cloud platform comprises a cloud server, a terminal server and cloud terminal equipment; the cloud server is used for storing, calculating and analyzing all data of the e-commerce platform, and the terminal server is connected with the cloud terminal equipment through a wireless network. The cloud terminal equipment is connected with the system desktop of the cloud server through a communication protocol and is displayed at the front end; the effects of high user purchase efficiency, full exploration of directional potential customers, accurate and efficient big data marketing promotion, high intelligence, low marketing cost and high input-output are achieved.

The invention relates to power grid data asset resource search and display based on a polymorphic data index technology. The power grid data asset resource search and display method based on the polymorphic data index comprises the following steps of 1, carrying out combing of power grid data asset resources to form a power grid data asset account manual; 2, making a concept data model and a logic data model for searching power grid data assets; 3, determining a search mode of power grid data asset resources; 4, completing the design of a power grid data asset resource search function; and 5, designing a power grid data asset interface, showing the function.

The invention relates to a cattle killing machine, and belongs to slaughtering equipment. The cattle killing machine comprises a prisoner tube mechanism, a front push plate, a rear push plate, a cattle rump drive mechanism, a stranglehold mechanism, a cattle head turnover mechanism, a post-slaughter cattle ejecting mechanism, a cavity door start-stop mechanism and a power drive mechanism, wherein the prisoner tube mechanism comprises first and second bases, first and second beams, a top plate, a bottom plate, a left rotary disk, a right rotary disk and a cattle containing groove; one end of the lower part of the front push plate is arranged on the left rotary disk, and the other end of the lower part of the front plate is arranged on the right rotary disk; one end of the lower part of the rear push plate is connected with the left rotary disk, and the other end of the lower part of the rear push plate is connected with the right rotary disk; the cattle rump drive mechanism is arranged on a wall body on one side of the front push plate, and the stranglehold mechanism is arranged on the center position of the first base; the cattle head turnover mechanism is arranged on the stranglehold mechanism, and the post-slaughter cattle ejecting mechanism is arranged on the upper part of one side of the front push plate; the cavity door start-stop mechanism is arranged on the right rotary disk; and the power drive mechanism is arranged on one side of the first base or the second base, the two ends of the first beam are respectively provided with a rear push plate acting cylinder, and the two ends of the second beam are respectively provided with a front push plate action cylinder. The cattle killing machine provided by the invention has a simplified structure, the prisoner tube mechanism is avoided being damaged, and the balance property of a neck clamping force is good.

The invention belongs to the technical field of auxiliary driving in automatic driving, and discloses a driver control system and method for relieving traffic jam, a medium, equipment and application, and the method comprises the steps: employing the setting of centralized learning but decentralized execution, making a decision for each target vehicle node at each moment, achieving the same given target for all nodes, and enabling the target vehicle node to be a target vehicle node; therefore, the traffic jam problem is solved. Modeling is carried out on communication and information propagation between nodes by adopting a graph neural network GNN, a decision processor adopts Deep Q learning, and formed decision information is issued to drivers in each environment in the form of suggestion instructions. The method has the advantage of scene traversal depth and self-learning performance, all working conditions can be covered more easily through a big data system, a machine can extract environment characteristics and decision attributes by themselves, and system optimization iteration is facilitated; the model is perfected through data training, and the model accuracy is improved along with data completeness.

The invention discloses an electroencephalogram signal classification method based on a multi-channel feedback capsule network. The electroencephalogram signal classification method comprises the following steps: 1, carrying out data selection and slicing preprocessing on original electroencephalogram data; 2, establishing a multi-channel feedback capsule network classification model; 3, designing a loss function, and establishing a classification model optimization target; and 4, inputting data to train the network, and using the trained optimal model to complete electroencephalogram signal classification. The advantages of a feedback network and a capsule network are combined, signal classification can be automatically completed without manual feature extraction or signal processing of original electroencephalogram signals, the electroencephalogram signal classification accuracy can be remarkably improved, and therefore the application value of the electroencephalogram signals in the field of medical treatment and the like is increased.

The invention discloses an Internet sales planning system in the technical field of internet sales planning, which comprises a server, a cloud platform and an e-commerce platform, and is characterized in that the server is connected with the cloud platform through a wireless network; according to the intelligent marketing system based on the Internet big data, through cooperation of the cloud platform and the e-commerce platform and combination of the Internet big data of the cloud platform, the transaction module and the after-sales module, the purchase efficiency of the user can be further improved, the potential customer market is fully explored, and the market share is improved. According to the system, companies, individuals and dealers are connected with client terminals through the Internet platform, and clients can directly inquire information such as product prices from the companies, individuals and dealers through the wireless Internet platform, so that a traditional marketing mode is changed, people can buy favorite products without going out, and meanwhile, the manpower and material resource expenditures of companies, individuals and dealers for marketing products are reduced, and the system is suitable for large-scale popularization.

The invention relates to a killing machine and belongs to killing equipment. The killing machine comprises a trapping tube mechanism, a front push plate, a back push plate, a livestock hip driving mechanism, a strangulation mechanism, a livestock head turning mechanism, a killed livestock pushing-out mechanism, a cavity door opening and closing mechanism and a motive power transmission mechanism, wherein the trapping tube mechanism is provided with a left rotary disc and a right rotary disc. The killing machine is characterized in that a pair of guide rails are fixed on the front push plate, a hip pushing plate cavity is arranged in the center position of one end of the front push plate facing one end of the right rotary disc, the livestock hip driving mechanism comprises a first action cylinder, a second action cylinder, a sliding plate and a hip pushing plate, the first action cylinder is fixedly arranged on the front push plate, a first action cylinder post of the first action cylinder is connected with the sliding plate, the sliding plate is glidingly matched with the pair of guide rails, the second action cylinder is arranged on the sliding plate, a second action cylinder post of the second action cylinder is connected with the hip pushing plate, and the hip pushing plate corresponds to the hip pushing plate cavity. The killing machine has the advantages that the structure is simplified, an advancing and retreating moving space of the livestock after entering a cage mechanism is eliminated, and the head part of the livestock is ensured to sufficiently extend out of the left rotary disc, so the neck clamping action is smoothly carried out.

The invention discloses an indoor scene outline detection method fusing color and depth information and belongs to the technical field of machine vision. The method comprises the key techniques of 1,separating a color image into R (red), G (green) and B (blue), using an image edge detection operator to extract edge information on each channel, and performing weighted fusing to obtain overall results of color image edge detection; 2, using a depth image to extract edge information, correcting false edges due to the loss of three-dimensional information of a scene only during detection of the color image, and enhancing confidence of true edge detection results; 3, constructing a gradient pyramid, and performing multi-scale multi-level fusing on color image edges and depth image edges to obtain edge detection results, and executing edge aggregation to obtain a final outline. The method of the invention has the advantages that gradient information of a depth image is fully excavated, outline detection results of a color image are corrected and enhanced via the outline detection results of the depth image, and a more robust and precise scene outline is obtained accordingly.

Belonging to the technical field of biological genetic engineering, the invention in particular relates to a hordeum vulgare calmodulin gene HvCAM1 and salt tolerant application thereof. The hordeum vulgare calmodulin gene HvCAM1 has a nucleotide sequence shown as SEQ ID No:1 and a full-length genome sequence 2124 bp. According to the invention, firstly a hordeum vulgare calmodulin coded gene is obtained by cloning and is named as HvCaM1, and the transcript cDNA full-length nucleotide sequence is shown as SEQ ID No:2, and the full-length cDNA sequence is 728 bp. The invention also utilizes RNAi interference method to silence the HvCAM1 gene successfully in hordeum vulgare Golden Promise, also utilizes the material to verify the negative regulation effect of HvCAM1 gene under salt stress can effectively enhance the salt tolerance of hordeum vulgare. At the same time, overexpression of the HvCAM1 gene in hordeum vulgare Golden Promise cannot enhance the salt tolerance of hordeum vulgare.

The invention relates to a cattle killing machine, and belongs to slaughtering equipment. The cattle killing machine comprises a prisoner tube mechanism, a front push plate, a rear push plate, a cattle rump drive mechanism, a stranglehold mechanism, a cattle head turnover mechanism, a post-slaughter cattle ejecting mechanism, a cavity door start-stop mechanism and a power drive mechanism, wherein the prisoner tube mechanism comprises first and second bases, first and second beams, a top plate, a bottom plate, left and right rotary disks and a cattle containing groove; one end of the lower part of the front push plate is arranged on the left rotary disk, and the other end of the lower part of the front push plate is arranged on the right rotary disk; one end of the lower part of the rear push plate is connected with the left rotary disk, and the other end of the lower part of the rear push plate is connected with the right rotary disk; the cattle rump drive mechanism is arranged on a wall body on one side of the front push plate, and the stranglehold mechanism is arranged on the center position of the first base; the cattle head turnover mechanism is arranged on the stranglehold mechanism, and the post-slaughter cattle ejecting mechanism is arranged on the upper part of one side of the front push plate; the cavity door start-stop mechanism is arranged on the right rotary disk; and the power drive mechanism is arranged one side of the base, the stranglehold mechanism comprises a stranglehold gate action cylinder and a stranglehold door, and the cattle head turnover mechanism comprises a head turning action cylinder, a head turning frame, a connecting rod and a rocker arm. The prisoner tube mechanism is avoided being damaged, the balance property of a neck clamping force is good, and an oppressing effect of a laryngeal of cattle is improved.

The invention relates to a cattle killing machine, and belongs to slaughtering equipment. The cattle killing machine comprises a prisoner tube mechanism, a front push plate, a rear push plate, a cattle rump drive mechanism, a stranglehold mechanism, a cattle head turnover mechanism, a post-slaughter cattle ejecting mechanism, a cavity door start-stop mechanism and a power drive mechanism, wherein the prisoner tube mechanism comprises first and second bases, first and second beams, a top plate, a bottom plate, a left rotary disk, a right rotary disk and a cattle containing groove; one end of the lower part of the front push plate is arranged on the left rotary disk, and the other end of the lower part of the front plate is arranged on the right rotary disk; one end of the lower part of the rear push plate is connected with the left rotary disk, and the other end of the lower part of the rear push plate is connected with the right rotary disk; the cattle rump drive mechanism is arranged on a wall body on one side of the front push plate, and the stranglehold mechanism is arranged on the center position of the first base; the cattle head turnover mechanism is arranged on the stranglehold mechanism, and the post-slaughter cattle ejecting mechanism is arranged on the upper part of one side of the front push plate; the cavity door start-stop mechanism is arranged on the right rotary disk; and the power drive mechanism is arranged on one side of the first base or the second base, the two ends of the first beam are respectively provided with a rear push plate acting cylinder, and the two ends of the second beam are respectively provided with a front push plate action cylinder. The cattle killing machine provided by the invention has a simplified structure, the prisoner tube mechanism is avoided being damaged, and the balance property of a neck clamping force is good.

The invention discloses a 5G network-based cultural tourism resource collection platform and collection method, including a collection terminal that sends cultural tourism resource data to a cloud server in real time through a 5G network; a cloud server that receives data sent by the collection terminal and stores it in the cloud; a cache unit , to download data from the cloud server; the automatic review system acquires data sequentially from the buffer unit, extracts the trajectory information in the data, judges whether the cultural tourism resource corresponding to the data is unknown according to the trajectory information, and sends the unknown cultural tourism resource data Send to the manual classification system; the manual classification system manually classifies unknown cultural tourism resources; the management system summarizes unknown cultural tourism resource data. The invention is used to solve the problems of low collection efficiency and chaotic and complicated data of emerging cultural tourism resources in the prior art, realize the purpose of improving the collection efficiency of cultural tourism resources, and at the same time facilitate the management and control of tourism management departments.

The invention relates to the field of interest calculation, in particular to a multi-account combined interest calculation method and device, computer equipment and a readable storage medium. The method comprises the steps: calculating the total mean value balance of all combined interest calculation accounts under the same user group; determining a pricing interest rate corresponding to the totalmean value balance by using a pricing interest rate table according to the total mean value balance, wherein the pricing interest rate table stores a relationship between an amount range and the pricing interest rate, and a pricing interest rate minimum value in the pricing interest rate table is greater than or equal to an original interest rate of each combined interest calculation account in the user group; according to the pricing interest rate corresponding to the total mean value balance, carrying out interest calculation on all combined interest calculation accounts in the user group.The interest calculation management of a plurality of accounts in the same user group can be simplified, the user experience is improved, and the interest income of the user can be improved.

The invention provides a method for identification and analysis of components in cockroaches, comprising the following specific steps: (1) collecting cockroach samples in five growing stages of male adults, female adults, ecdysis adults, 7th-8th instar nymphs and 3nd-4th instar nymphs; (2) preparing the cockroach samples in different growing stages: extracting with 95% ethanol; (3) optimizing GC-MS coupling analysis conditions: optimizing GC-MS analysis conditions of components in cockroaches in different growing stages by selection of sample port temperature, sample size and sample mode; and (4) identifying specific components of cockroaches in each growing stage. The method of the invention has high sensitivity and reliable identification results, and can be used for identification of cockroaches in different growing stages. By the method, research and utilization of components of cockroaches in each growing stage are enhanced.

The invention relates to an environmental detection method and system for archaeology. The environmental detection method comprises the following steps that archaeological excavation is carried out byusing a robot body and a control body; a processor in the robot body or the control body evaluates and divides a passable area and an unpassable area in response to a parallax image collected by a camera device of the robot body; and the processor or the control body releases at least one first-class relay sensor and / or at least one second-class relay sensor based on the unpassable area, and deploys a plurality of third-class relay sensors based on the passable area, wherein the third-class relay sensors are connected mutually in a multi-hop mode and can receive information transmitted by thefirst-class relay sensors and / or the second-class relay sensors.

The present invention provides a deep separable convolutional neural network acceleration method, including: performing deep convolution on the input neuron, and when performing the deep convolution calculation, the same M lines of the C input channel are in the three-dimensional processing unit PE array Independent and parallel computing, to get the output neurons of the same N rows of the C channel, N

The invention belongs to the field of human-machine dialogue, and specifically relates to a knowledge-driven dialogue strategy network optimization method, system, and device, aiming to solve the problem of low utilization rate of training data in the optimization process of the existing dialogue system in the medical field. The method of the present invention is applied to the training of the dialogue system, including: based on the input characteristics of the dialogue samples in the selected field, the self-encoder is optimized by using the collaborative filtering method based on the encoder; the encoder in the self-encoder is used to The input features are mapped to a low-dimensional space; the dialogue policy network is optimized based on a loss function that includes an additional reward value; the additional reward value is inversely proportional to the frequency of state-action pairs in the behavior-action space. The invention can fully explore the state-action space under the condition of limited training data, and improve the data utilization rate.

The invention discloses a behavior recognition method based on feature mapping and multi-layer time interactive attention, and solves the problem that the behavior recognition capability is insufficient due to the fact that time dynamic information modeling is insufficient and the mutual dependency relationship between different frames is ignored in the prior art. The method comprises the following implementation steps: (1) generating a training set; (2) acquiring a depth feature map; (3) constructing a feature mapping matrix; (4) generating a time interaction attention matrix; (5) generating a time interaction attention weighted feature matrix; (6) generating a multi-layer time interactive attention weighted feature matrix; (7) acquiring a feature vector of the video; and (8) carrying out behavior identification on the video. According to the method, the feature mapping matrix is constructed, and multi-layer time interaction attention is provided, so that the accuracy of behavior recognition in the video can be improved.

Belonging to the technical field of biological genetic engineering, the invention in particular relates to a hordeum vulgare calmodulin gene HvCAM1 and salt tolerant application thereof. The hordeum vulgare calmodulin gene HvCAM1 has a nucleotide sequence shown as SEQ ID No:1 and a full-length genome sequence 2124 bp. According to the invention, firstly a hordeum vulgare calmodulin coded gene is obtained by cloning and is named as HvCaM1, and the transcript cDNA full-length nucleotide sequence is shown as SEQ ID No:2, and the full-length cDNA sequence is 728 bp. The invention also utilizes RNAi interference method to silence the HvCAM1 gene successfully in hordeum vulgare Golden Promise, also utilizes the material to verify the negative regulation effect of HvCAM1 gene under salt stress can effectively enhance the salt tolerance of hordeum vulgare. At the same time, overexpression of the HvCAM1 gene in hordeum vulgare Golden Promise cannot enhance the salt tolerance of hordeum vulgare.