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 discloses a multi-dimensional IRT-based teachers teaching ability evaluation method. The evaluation method comprises the following steps: a step of information collection before teachersteaching evaluation, a step of collecting the students evaluation of the teachers classroom language teaching ability which is needed for teachers ability evaluation, a step of preparation for the teachers teaching evaluation, a step of classification analysis on teachers teaching ability, and a step of summarizing the teachers teaching evaluation. The beneficial effects of the method are that via multi-dimensional IRT-based teachers teaching ability evaluation method, comprehensive evaluation of the teachers teaching ability can be realized, operation is simple, the teachers teaching abilityis fully explored, influence exerted by human factors can be prevented, veracity of teachers teaching ability evaluation can be ensured, the method can help reduce the evaluation of teachers teaching, multi-faceted evaluation is adopted, the accuracy of the evaluation of teachers teaching ability can be improved, and evaluation of competent teachers can be facilitated.

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 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 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 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.

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 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.