15results about How to "Solve the singularity" patented technology

The invention discloses a network security active defense method and system for detecting abnormal network behaviors. The method comprises the following steps: S1, constructing a virtualized isolation network environment through a software defined network technology; s2, deploying intelligent dynamic camouflage nodes in the virtualized isolation environment; s3, acquiring a disguised node attack behavior, and identifying a network abnormal behavior through a deep learning technology; s4, extracting network abnormal behavior features, and identifying potential threats through a deep learning technology; s5, a defense mechanism is automatically triggered, a honeynet is started, and abnormal behaviors and potential threats are isolated; and S6, tracing an attack path, and carrying out source positioning. The network security active defense system comprises a network construction module, a deployment module, an identification module, a honeynet, an isolation module and a tracing module. The disguised nodes are deployed through the deployment module to detect abnormal network behaviors, active defense of network security is realized through the honeynet, the isolation module and the tracing module, and the network security is improved.

The invention discloses a picture expansion method, a training method, an interaction method and device based on an AI image generation model, equipment and a medium, and relates to the technical field of image processing. The picture expansion method comprises the following steps: splicing at least two to-be-processed images to form a spliced image; performing area selection processing of local redrawing on the spliced image to obtain a spliced image after area selection processing and generate a local redrawing request; sending the spliced image after the area selection processing and the local redrawing request to an AI image generation model; and the AI image generation model responds to the local redrawing request, and generates a seamless spliced image after local redrawing according to the spliced image after selection processing. According to the AI image generation model-based picture extension method, training method, interaction method and device, equipment and medium provided by the invention, picture extension can be realized, ultra-wide and ultra-high continuous pictures can be generated, and social contact attributes can be realized.

The invention discloses a traffic speed limit value determination method and device, equipment and a medium, and relates to the field of auxiliary driving, and the method comprises the steps: triggering the operation of obtaining a current first speed limit value and a current second speed limit value after a vehicle drives into an expressway; the current first speed limit value and the current second speed limit value are speed limit values determined based on a current road type and a current traffic signboard recognized by a forward-looking monocular camera of the vehicle respectively; when the current road type does not belong to the expressway and the current traffic signboard does not belong to the speed limit signboard, if the current first speed limit value is inconsistent with the current second speed limit value, whether the current road type is wrongly identified is determined by determining whether the current vehicle drives away from the expressway; and then the current target speed limit value is determined according to the judgment result and based on the current first speed limit value and the current second speed limit value, so that the vehicle is controlled to run according to the current target speed limit value, and the determination accuracy of the traffic speed limit value and the running safety of the vehicle are improved.

A self-adaptive multi-objective evolution method for optimizing the capacity of an off-grid wind and light hydrogen production and energy storage system comprises the following steps: firstly, according to an energy storage system model, taking unit hydrogen production cost, wind and light abandoning penalty and load shedding penalty as minimization objectives; secondly, the capacity of each component of the wind-solar power generation unit, the power storage unit and the hydrogen and oxygen storage unit is used as a decision variable, and the system is set to conform to the actual constraint; thirdly, initializing a population; individuals in the population are initialized according to the constructed search space, so that the individuals meet constraint conditions; then adaptively selecting a search strategy; the strategy adaptive network selects a proper search strategy based on individual decision variables and objective function values, and evolves a new sub-population; and fusing the parent population and the child population to calculate the non-dominated level and the congestion degree of all individuals, determining parameters of the reward updating strategy adaptive network according to the non-dominated level, and screening out a new population. According to the method, the randomness and blindness of algorithm search can be reduced, and the search efficiency of the algorithm is enhanced.

The invention relates to the technical field of irrigation equipment, in particular to intelligent precise irrigation equipment which comprises a main pipeline, a connecting structure, an auxiliary pipeline and a buckling cover, the main pipeline is used for conveying water, a first water hole is formed in the main pipeline, the connecting structure is installed on the main pipeline and communicates with the first water hole, and the auxiliary pipeline communicates with the connecting structure and is installed on the connecting structure; the auxiliary pipeline is used for extending towards the irrigation position, a second water hole is formed in the auxiliary pipeline, the auxiliary pipeline is rotationally sleeved with the buckle cover, the buckle cover seals the second water hole, and a plurality of irrigation openings are formed in the buckle cover. The design of the equipment allows a user to select different irrigation modes according to actual requirements, so that the multifunctionality and adaptability of the equipment are improved, and the irrigation requirements of different crops and different growth stages are met.

The invention provides a collecting device, a control device and a control method of a distributed photovoltaic access regional power distribution network. The collecting device comprises a distributed photovoltaic collecting circuit which accesses a regional power distribution network zone area; the distributed photovoltaic collection circuit is connected with a plurality of distributed photovoltaics and is used for collecting and converting electric energy generated by the plurality of distributed photovoltaics through cooperation of a collection bus and an inverter; acquiring current, voltage and power after electric energy conversion as grid-connected data of the distributed photovoltaic system and sending the grid-connected data; receiving the collected distributed photovoltaic electric energy and controlling the collected distributed photovoltaic electric energy to access a transformer area of a regional power distribution network based on the control instruction; according to the collecting device provided by the invention, the problem of high difficulty in coordination control of each inverter in an existing access mode is solved, the power quality problem of a distributed photovoltaic grid-connected point is improved, the inverter investment and operation and maintenance cost are further reduced, the operation safety of a power grid is ensured, and the distributed photovoltaic absorption capability and the comprehensive utilization efficiency are improved; and local autonomous management of distributed photovoltaic electric energy is realized.

The invention discloses a pin processing and folding device for electronic components, including a chassis, a side window, a U-shaped plate 1, a cylinder 1, a cylinder 2, a connecting plate, a U-shaped plate 2, a pressing bar, a pin line pressing plate, a magnetized conveyor belt, a strip plate, a strip groove, a rectangular hole, a pin line pushing plate, a guide groove, a strip guide rod, an internal threaded short tube, a lead screw, a motor, a transmission wheel, a rotating shaft and a strong torsion spring. The invention is beneficial in that: a pin line pressing plate and a pin line pushing plate of matching length are used to clamp and turn the pin line sideways, and the outer end of the pressing bar is used to fix the root of the pin line, so that at least two limited numbers of electronic component pin lines can be folded, replacing the mold folding structure, and the pin lines of electronic components in different tilt angles can be folded, solving the problem of the singleness of the folding state, and at the same time having the function of conveying the electronic components, improving the folding processing efficiency of the electronic component pin lines.

The invention discloses an interactive skateboard and a control method thereof. The interactive skateboard comprises a skateboard body and a control device, the control device comprises a human body sensing module, a pressure sensing film, an inclined posture detection module, a vibration module and a controller; the human body sensing module is used for sensing whether a person stands on the skateboard to obtain a human body sensing signal; the pressure sensing film is used for sensing the gravity tendency of a person standing on the skateboard to obtain a gravity tendency sensing signal; the inclination attitude detection module is used for judging the inclination state and attitude information of the skateboard to obtain a skateboard inclination attitude signal; the vibration module is arranged at the bottom of the skateboard body, the controller outputs a vibration simulation signal based on an external scene simulation signal, and the vibration module simulates vibration of the skateboard on an uneven road surface; according to the interactive skateboard provided by the invention, the real playing experience can be provided, the user can perform playing interaction by virtue of the real skateboard operation, and the skateboard skill is improved.

The invention discloses an unmanned online car-hailing scheduling method and device and a storage medium, which are used for solving the technical problem that the service quality and the operation efficiency of unmanned online car-hailing cannot be guaranteed. The method comprises the following steps: when an order receiving system receives a user order, determining a departure place and a destination according to the user order; inputting the departure place and the destination into a pre-constructed route planning model to generate a plurality of routes; calculating a feeling degree index value of a preset feeling degree index of each route; obtaining a user demand; calculating a user evaluation index value of a preset user evaluation index according to the user demand and the user historical data; determining a target vehicle and a target route according to the user evaluation index value and the feeling index value; historical vehicle internal use state information of the target vehicle is obtained, and the vehicle state is adjusted according to the historical vehicle internal use state information; acquiring real-time road condition data of the target route; and route optimization is carried out according to the real-time road condition data and the user evaluation indexes.

The invention provides a model and a method for predicting the water-gas ratio and the water yield of formation water of a fracture-vug type water-producing gas well. The model establishment method comprises the following steps: screening out abnormal fluctuation data from gas field production dynamic data to obtain daily output data; calculating the accumulated gas production and formation water-gas ratio of the water-producing gas well according to the daily output data; establishing a formation water-gas ratio calculation model of the water-producing gas well, wherein the model is a mathematical relationship between the formation water-gas ratio and cumulative gas production and contains a plurality of undetermined indexes; the accumulated gas production of the water-producing gas well and the water-gas ratio of the formation water are used for fitting to determine the value of each index, and then a prediction model of the water-gas ratio of the formation water is obtained. The water yield prediction model is established based on the formation water-gas ratio model. According to the prediction method, the future daily water yield can be predicted according to the water yield prediction model. According to the method, the labor cost of a large number of professionals is effectively reduced, the timeliness and convenience are improved, and the method has good applicability and popularization prospects in field practical application.

The invention discloses a social network event propagation prediction method based on a circle layer effect. The method comprises the following steps: step 1, establishing a composite relation social network structure according to a social network; step 2, obtaining embedded representations of all user nodes through a graph neural network based on composite relation social network structure learning; step 3, according to the embedded representations of all the user nodes, respectively obtaining an event propagation representation of a time sequence view angle and an event propagation representation of a structure view angle; step 4, adaptively fusing the event propagation representation of the time sequence view angle and the event propagation representation of the structure view angle obtained in the step 3 to obtain an event propagation representation based on a ring layer effect; and step 5, mapping the event propagation representation based on the circle layer effect to a user feature space to obtain an event propagation prediction result. The method can effectively and accurately predict and analyze the event propagation on the social network.

The utility model relates to furniture design technical field, and disclose a kind of multifunctional adjustable dining chair, comprising: dining chair, by seat plate and backrest plate are formed, the seat plate is rotated with backrest plate cooperation, for as the installation carrier of back assembly, adjusting assembly, foot component, headrest assembly and lifting assembly;Adjusting assembly is used to carry out multi-angle overturn operation to backrest plate.By setting adjusting assembly, it is convenient to carry out multi-angle overturn operation to backrest plate on seat plate, further facilitate staff applicable to multiple scenes, solve the singleness problem of application scene, improve the experience of staff, further improve the practicability of equipment, be favorable to practical application and operation.

The present invention relates to the field of intelligent medical technology, and in particular to a method and system for evaluating a targeted medication regimen, establishing a comprehensive database, which includes basic information of patients, gene expression data, protein interaction information, and integrated treatment data; obtaining the targeted medication regimen of the current patient; analyzing the gene expression data of the targeted medication regimen, evaluating the efficacy of the targeted medication regimen, and forming an efficacy dimension; constructing a protein interaction network, combining the gene expression data with the protein network, analyzing the molecular characteristics of the patient's tumor, identifying and confirming the drug's target, and forming an individual adaptability dimension; establishing a multidimensional evaluation space, inputting the efficacy dimension and the individual adaptability dimension as independent dimensions, and generating a multidimensional evaluation result output based on the safety dimension and economic dimension of the targeted medication regimen, the efficacy dimension, and the individual adaptability dimension. The problem of the singleness and limitations of the existing targeted medication evaluation method is effectively solved.

The utility model belongs to the technical field of articles for daily use, and provides a curved multi-lattice storage box which comprises a base, a storage box body is fixedly mounted at the top of the base, the storage box body comprises a curved baffle, curved placing plates and a drawer, the curved placing plates are fixedly mounted on the inner side of the curved baffle and are in irregular curve shapes, and the drawer is arranged on the curved baffle. A drawer is movably mounted at the top of the inner wall of the bottom of the storage box body; through the structural design of the storage box body, the curved baffle, the curved placement plate and the drawer, the function of improving the sense of space of the storage box is achieved, the modern sense and fashionability of the storage box can be improved, the appearance of the storage box is softer, meanwhile, the irregular curve design can stretch the space visually, and compared with a traditional linear design, the storage box is more attractive in appearance. According to the storage box, the space perceptibility can be better improved, in addition, more storage spaces of the storage box can be increased through the curve recesses, and the problem that the visual unicity is caused by the stiff appearance is solved.

The application discloses a network flow prediction method and system, and relates to the field of communication network management.The method comprises the following steps: establishing a device self-model based on a historical data set of each device, obtaining a flow prediction value through the device self-model, and selecting other devices with a similarity to the prediction object flow greater than a preset similarity threshold as related devices; updating a related device model according to flow monitoring of the related devices, and obtaining an experience prediction value of each related device model; and obtaining a prediction result of the network flow through weighted calculation of the flow prediction value and all the experience prediction values, so as to solve the problems of low reliability and low pre-identification burst flow capability in the related art.