45results about How to "Realize automatic expansion" patented technology

An embodiment of the invention discloses an advertisement putting method, an advertisement putting device, electronic equipment and a computer readable storage medium. The advertisement putting methodcomprises the steps of: acquiring advertisement orientation information; judging whether to execute a user expansion recall strategy on each orientation item in the advertisement orientation information or not; performing user recall from a preset first candidate user set according to the first type of orientation items needing to execute the user expansion recall strategy and the second type oforientation items not needing to execute the user expansion recall strategy, so as to obtain a second candidate user set; and determining a directional user set according to target data correspondingto each candidate user in the second candidate user set, and performing advertisement putting based on the directional user set, wherein the target data comprises user identification information and user portrait information. According to the advertisement putting method and the advertisement putting device disclosed by the embodiment of the invention, automatic expansion of targeted advertisementputting users and automatic search of high-quality user groups can be realized, and the possibility of advertisement exposure is increased while advertisers are helped to ensure the quality level oftargeted crowds, so that the advertisement delivery effect is improved.

The invention relates to a distributed scheduling method and system based on a zookeeper biplanar data architecture. The method comprises the following steps: constructing a dynamic tree and a static tree in zookeeper; storing the universal configuration information of a service system into the corresponding node information of the static tree; generating temporary dynamic nodes in the dynamic tree when service programs are initiated and setting the attribute information of the service programs in the temporary dynamic nodes; enabling a distributed scheduling program to obtain the node information of the static tree and the node information of the dynamic tree, respectively, and selecting the optimal temporary dynamic node according to a predetermined selection principle so as to obtain the corresponding service program, thereby realizing the connection of the distributed scheduling program with the service program. According to the distributed scheduling method, the static tree is used for instructing the logic load structure of a load balancer, while the dynamic tree is used for controlling the operating conditions of the existing applications in real time; due to the linkage of the dynamic tree and the static tree, dynamic combination of logic load and actual operation is realized, and therefore, efficient and quick cloud system deployment and switching and high system flexibility are realized.

The embodiment of the invention discloses a corpus expansion method and related equipment. The corpus expansion method is applied to the technical field of data processing, and comprises the steps: obtaining a dynamic word vector of each word in a short text corpus to be expanded, and real word information, virtual word information and grammatical information corresponding to the short text corpus; determining a synonym candidate set matched with the real word information and the virtual word information from a corpus set based on the dynamic word vector; and carrying out expansion processingon the short text corpus according to the synonym candidate set and/or the grammatical information, and determining a target expansion corpus set corresponding to the short text corpus. By adopting the corpus expansion method, the automatic expansion of the short text corpus can be realized, and the expansion efficiency of the short text corpus is improved.

The invention relates to the field of corrugated boxes and discloses a strut-unfolding device for a corrugated box. The strut-unfolding device comprises a table surface; the table surface is symmetrically provided with supporting seats; a supporting frame which is of a reversed-U-shaped structure is arranged between the supporting seats; the sides, far away from the supporting frame, of the supporting seats are each provided with a driving motor; rotating shafts on the driving motors both sequentially penetrate through the supporting seats and are in transmission connection with two vertical ends of the supporting frames; the middle part of the supporting frame is provided with a shaft sleeve in an embedding manner; a rotating shaft is inserted into the shaft sleeve; and the two ends of the rotating shaft both extend out of the shaft sleeve. The corrugated boxes which are in an unfolded state sequentially move down by virtue of a guide mechanism; a strutting block is used for opening folding parts of the corrugated box in a strutting manner so that a plurality of strutting rods can conveniently extend into the corrugated box when a quadrilateral component is in a totally closed state; the strutting rods can extend into the corrugated box in a falling process of the corrugated box; and thus the corrugated box can be conveniently unfolded in a strutting manner.

The invention particularly relates to an intelligent cloud computing network flow adjusting and optimizing system and method. The intelligent cloud computing network flow adjusting and optimizing system is composed of a data acquisition layer, a data analysis and modeling layer and a strategy service layer. According to the intelligent cloud computing network flow adjusting and optimizing system and method, artificial intelligence is used for providing high-quality services, passive defense is switched to active optimization, static configuration is switched to dynamical adjustment, flow monitoring can be better conducted, the resource bottleneck of the network can be excavated through a machine learning algorithm, the optimal bandwidth configuration scheme is obtained, the bandwidth utilization rate is improved, so that the user experience is improved, and the operation cost and investment are reduced; through strategy configuration, early warning and automatic expansion of bandwidthresources are realized, so that automatic adjustment of bandwidth is realized.

The embodiment of the invention discloses an IMS (IP Multimedia Subsystem) system based on Kubernetes. The IMS system comprises a first service component Kubernetes ellis, a second service component Kubernetes homer and a third service component Kubernetes sprout; kubernetes ellis is used for performing registration management on an SIP (Session Initiation Protocol) user, creating a user test account, generating first user configuration information according to the user test account and service configuration information, and sending the first user configuration information to the Kubernetes homer; the Kubernetes homer is used for receiving the first user configuration information sent by the Kubernetes ellis, storing the first user configuration information and sending the first user configuration information to the Kubernetes sprout; and the Kubernetes sprout is used for receiving the first user configuration information sent by the Kubernetes homer.

The invention provides a multi-dimensional automatic extended square cabin which comprises a main cabin body, a first side cabin body and a second side cabin body. The first side cabin body and the second side cabin body are located on two sides of the main cabin body, a movable cabin body is arranged at the upper end of the main cabin body, the upper end of the first side cabin body is connected with a first movable side cabin body, the upper end of the second side cabin body is connected with a second movable side cabin body, a side cabin extending mechanism is connected between the main cabin body and the first side cabin body and between the main cabin body and the second side cabin body respectively, a side cabin height lifting mechanism is arranged between the first side cabin body and the first movable side cabin body and between the second side cabin body and the second movable side cabin body respectively, and a main cabin height lifting mechanism is arranged between the main cabin body and the movable cabin body and comprises two main cabin height lifting motors respectively located on two sides of the main cabin and corresponding main cabin lifting rods.

The invention discloses a method for preventing a replay attack of an API (Application Program Interface), which is characterized in that: at an API sending end, API sending based on user ID (Identity) marking is ordered, a unique time sequence code is introduced based on a timestamp to mark a request, and then an interface repetition state is compressed and recorded through a binary bit state of a state code, so that only two groups of data need to be cached, namely a state code and a latest time sequence code, differential processing is performed on a normal request and a suspected abnormal request, namely a state code and a latest time sequence code, verification-free optimization acceleration is performed on a normal request interface, and performing left shift operation on a binary state bit of the state code to maintain the state. According to the method, the request lagged due to network delay, routing and the like and the request of the replay attack can be screened out from the suspected abnormal request, so that the replay attack request is denied to be processed, the lagged normal request is effectively processed, the unnecessary overhead of the service is reduced, the replay attack can be accurately identified, and the state code does not need to be maintained and cleaned in real time.

The invention discloses a standardized intelligent assembly parking unit. The unit solves the problems of lower spatial utilization rate, insufficient parking safety and higher cost and difficulty ofparking space assembly of three-dimensional garages in the prior art, and has the advantages of being convenient to assemble and capable of maximizing utilization space, improving safety performance and saving cost. The technical scheme is characterized in that the unit comprises multiple layers of unit bodies, one sides of the unit bodies are provided with comb-type transportation platforms matching with the unit bodies, and the comb-type transportation platforms can be moved in the horizontal direction and the vertical direction to be matched with different unit bodies; the unit bodies comprise comb-type parking platforms, and the unit bodies of the adjacent layers are connected through upright columns of two ends of the comb-type parking platforms; driving devices are installed at the bottoms of the comb-type parking platforms; laser transmitters are installed on the comb-type transportation platforms, laser receivers are installed on the unit bodies, signals transmitted by the laser transmitters are received by the laser receivers and transmitted to controllers of the driving devices, and the driving devices are controlled by the controllers to achieve the precise positioning of the comb-type parking platforms and the comb-type transportation platforms.

The invention relates to the technical field of distributed storage, and discloses a capacity expansion method and device of a storage cluster, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring first resource information of a storage cluster and second resource information of at least one node to be expanded; analyzing the first resource information, and determining usage data of the storage cluster; and generating capacity expansion configuration information of the storage cluster based on the use data of the storage cluster and the second resource information. By implementing the method and the device, the automatic capacity expansion of the storage cluster is realized, the operation and maintenance manpower is greatly saved, the workload during large-scale capacity expansion of the storage cluster is reduced, the capacity expansion requirements of a large number of nodes to be subjected to capacity expansion can be met to a greater extent, the capacity expansion failure caused by tedious manual capacity expansion operation is avoided, and the capacity expansion success rate of the storage cluster is improved.

The embodiment of the invention discloses an information processing method, a capacity expanding method, a manager, a controller and a DNS. A load balancing method comprises the following steps: acquiring state information of at least two domain name system DNS servers; generating a load balancing strategy according to the state information, wherein the load balancing strategy is used for balancing the loads of at least two DNS servers in response to a DNS request.

The invention relates to a node capacity expansion method and device of a slm scheduling system, equipment and a medium. The method comprises the following steps: receiving a node capacity expansion request sent by a terminal; when a newly added node in the node capacity expansion request exists in a target cluster deployed by the slm scheduling system, acquiring a slm scheduling configuration file; when the slm scheduling configuration data of the newly added node does not exist in the slm scheduling configuration file, sending an installation request of a slm client to the newly added node; and when notification information of installation completion is received, acquiring slm scheduling configuration data of the newly added node, updating the slm scheduling configuration data to the slm scheduling configuration file, and performing node expansion by the slm scheduling system. According to the method and the device, automatic capacity expansion is realized, the tedious steps of manually inputting a command and realizing capacity expansion in the prior art are solved, and the node capacity expansion efficiency of the slm scheduling system is improved.

The invention discloses a deep learning model evaluation system and method oriented to RD time-frequency data. The process comprises verification set expansion, multi-IOU threshold value F1 calculation, multi-IOU threshold value mAP calculation, FLOPs calculation and evaluation index integration calculation. The main body of the evaluation method is a verification set expansion method and an integration strategy-based model evaluation method, a verification set is expanded through an image fusion and inspection mechanism, and the problem of RD-oriented time-frequency data shortage is solved; a larger-scale verification set can be obtained under the conditions that obvious noise information is not introduced, target label information is not leaked and data distribution is not changed, so that the verification set better represents the characteristics of overall data, and the generalization performance of the model is better evaluated; the overall capability of the deep learning model is represented by the F1 score of the multiple IOU threshold values, the mAP of the multiple IOU threshold values and the weighted score of the FLOPs, and the capabilities of the model in the aspects of single-point optimization, global average optimization and time performance can be represented more accurately, so a powerful technical support is provided for the evaluation of the deep learning model facing RD time-frequency data.

The invention discloses a painless tooth extraction pen. The painless tooth extraction pen structurally comprises a main body cylinder, a gingiva supporting module for cleaning blood and other impurities is arranged on the left side of the main body cylinder, and a tooth cleaning module for cleaning teeth and gingiva is arranged on the right side of the main body cylinder; and the top of the main body cylinder is provided with a tooth nursing module for expanding gingiva and cutting teeth, and the painless tooth extraction pen realizes the functions of automatically expanding gingiva, automatically polishing and automatically washing through the gingiva supporting module, the tooth cleaning module and the tooth nursing module.

The invention discloses an expandable anti-blue-ray flowerpot. The expandable anti-blue-ray flowerpot comprises a flowerpot body, an intelligent tray and a stopping element, wherein the flowerpot bodyand the stopping element are arranged on the intelligent tray; the stopping element is arranged on the periphery of the flowerpot body and is used for surrounding the flowerpot body when in demand soas to prevent extraneous light from illuminating plants in the flowerpot body. By the expandable anti-blue-ray flowerpot, the plants can be located in a dark environment at night, influence of the extraneous blue ray to the plants is avoided, and therefore, healthful growth of the plants is ensured.

The invention provides a mobile intelligent interactive learning system for rail transit knowledge and a learning method thereof. The system comprises an input module, an output module, an identification transmission module, a database, an operation module and a retrieval module. The input module and the output module are arranged on a mobile terminal. The identification transmission module, the database, the operation module and the retrieval module are arranged on a cloud server. The rapid and real-time transmission of information is realized by utilizing the data flow technology, so that the mobile terminal is lightened. Therefore, the requirement of the fragmentized learning of a user at any time and any place is met. Meanwhile, the user can input an interactive control signal to obtain a desired learning resource or an AR stereo model, so that the interactive learning of the mobile terminal of the rail transit knowledge is realized.