17results about How to "Avoid calling" patented technology

The embodiment of the invention relates to a task processing method and device based on a multi-agent system, equipment and a medium. The method comprises the steps of obtaining a to-be-processed target task; searching a target knowledge base based on the target task to generate a search result; wherein the target knowledge base is used for storing an association relationship between task description and agent information; the agent information comprises an identifier of at least one agent in the multi-agent system; determining target agent information corresponding to the target task based on the search result; and determining an intelligent agent corresponding to the target intelligent agent information as a target intelligent agent, and processing the target task through the target intelligent agent. Therefore, by introducing the experience knowledge base into the multi-agent system, the cost of the system is reduced, and the processing speed and the response efficiency of the system are improved.

The invention provides a DMA (direct memory access) engine device and a data transmission method in a PCIE (peripheral component interface express)-to-RapidIO circuit, a DMA engine comprises a sending engine and a receiving engine which are used for processing data processing and protocol conversion of data packets sent and received in a DMA transmission process; the cache FIFO is used for caching the data read by the DMA engine; and the DMA channel control module and the state control register are used for controlling the DMA engine to update the operation state. A descriptor is configured in a PCIe memory through a host to define detailed parameters of DMA operation; the DMA engine can support DMA data transmission and protocol conversion between the PCIe core and the RapidIO core, and high-speed and low-delay data transmission in the PCIe-to-RapidIO circuit is achieved.

The invention discloses an instruction processing method and device based on social intent recognition, a storage medium and equipment, relates to the technical field of the Internet, and mainly aims to solve the problem of low service efficiency caused by invalid instruction execution of an existing social application. Comprising the steps of determining a social intent based on an application addition count value and user session content; if the social intention is a non-absolute rejection intention, determining a multi-modal feature and a meta-learning weight based on the user session content, and determining an intention score based on the multi-modal feature and the meta-learning weight, the meta-learning weight being determined based on a context feature of the user session content; and when the intention score is greater than a preset intention threshold value, executing a social application adding event, and determining a target social execution instruction based on an adding response and the updated application adding count value, so as to execute a corresponding operation based on the target social execution instruction.

The invention discloses a resampling method and device, a chip, terminal equipment and a storage medium. The method comprises the steps that the sampling frequency of baseband equipment is acquired; acquiring a reference clock frequency and a clock frequency offset of a crystal oscillator of the digital-to-analog converter; according to the sampling frequency of the baseband device, the reference clock frequency and the clock frequency offset, determining the resampling step length through a Taylor expansion of a resampling step length calculation function at the reference clock frequency, the value of the Taylor coefficient of the Taylor expansion is determined based on the reference clock frequency look-up table; and resampling the sampling frequency of the baseband equipment according to the resampling step length so as to adapt to the sampling frequency of the digital-to-analog converter.

The present application relates to a method, device, equipment, and storage medium for interface calling, and the method for interface calling includes: obtaining the signature of the installation package; calling a pre-set C language verification rule to verify the signature of the installation package; if the verification passes, the correct encrypted string is obtained, and the correct encryption password is generated according to the correct encrypted string; if the verification fails, the wrong encrypted string is obtained, and the wrong encryption password is generated according to the wrong encrypted string; sending an interface call request, and the interface call request carries the encryption password; when the encryption password carried by the interface call request is the correct encryption password, receiving the required data information fed back by the corresponding interface; when the encryption password carried by the interface call request is the wrong encryption password, receiving the invalid information fed back by the corresponding interface. In this way, the leakage of the correct encrypted string is avoided, the call of the Android interface by a third party without authorization is prevented, and information security is guaranteed.

The invention relates to the technical field of chip simulation, in particular to a co-simulation communication system based on a shared memory, the system comprises a test platform, an operation platform and an FPGA chip, the operation platform is used for creating a first memory and a second memory through a memory mapping function, the first memory comprises a first subspace and a second subspace, and the second memory comprises a second subspace and a second subspace; the second memory comprises a third subspace and a fourth subspace, a first annular buffer corresponding to the second subspace and a second annular buffer corresponding to the fourth subspace form a message queue, and the test platform is used for writing the first data into the message queue and reading the second data from the message queue. And the operation platform is also used for reading the first data from the message queue, sending the first data to the FPGA chip, and performing data transmission by using the first memory and the second memory, so that system calling can be avoided, the data transmission efficiency is improved, and the communication efficiency between the test platform and the FPGA chip is improved in a co-simulation scene.

The present invention relates to an intercom system for a collective residence. An intercom system for a collective residence, comprising: a main entrance station having a camera; a resident entrance substation having a camera and a resident main station for each resident in the residence; a storage unit that stores a video (V1) of a visitor captured by a camera of the main entrance station by associating the video with the resident ID of each resident to be visited; and a control unit. The control unit comprises a checking unit that checks the video (V1) with a video (V2) captured by a camera of the resident entrance substation. If the checking unit indicates a match, the control unit compares the resident ID associated with the match stored in the storage unit with the ID of the resident in which the call button of the resident entrance substation has been operated. If the IDs are different, the operation of the call button is invalidated.

The invention provides a service management system, a service calling method and device, equipment and a medium, and the system comprises a service provider which is used for deploying a service and adding a unit label to the service; wherein the unit label is used for representing a business unit to which the service belongs; the registration center is used for registering the service which is deployed by the service provider and is added with the unit label; and the service calling party is used for acquiring the target unit label corresponding to the specified business unit, determining the target service from the registration center according to the target unit label, and calling the target service. According to the invention, the traffic sealing in the service unit can be realized without splitting the registration center, the transformation cost of the remote service framework is reduced, the transformation efficiency is improved, and the overall performance of the system is improved.

The invention relates to the technical field of medicine, and discloses a presentation method of an inspection report template, a nonvolatile readable storage medium and electronic equipment. The method comprises the steps of obtaining a medical ultrasonic image, determining a part feature vector and a prior feature vector of a target examination part according to the medical ultrasonic image, determining a target part type of the target examination part according to the part feature vector and the prior feature vector, and presenting a target examination report template corresponding to the target part type. According to the embodiment, the target part type of the target examination part can be automatically recognized from the medical ultrasonic image, the target examination report template corresponding to the target part type can be automatically called and presented, intervention operation of a doctor or other people is not needed, and therefore the tedious calling process is avoided, and the working efficiency can be improved. In addition, according to the embodiment of the invention, by fusing the part feature vector and the prior feature vector, the target inspection report template is more accurately and reliably called for presentation.

The invention provides a user transformation analysis method and device and electronic equipment, and the method comprises the steps: carrying out SQL analysis processing on funnel event label data, a calculation time interval and a transformation window period, and generating a transformation data query statement corresponding to each calculation date; analyzing the customer group label data by using a label cube model, determining a customer group query rule indicated by the customer group label data, and generating a customer group query statement corresponding to the target customer group according to the customer group query rule; performing SQL (Structured Query Language) assembly conversion on the customer group query statement and the conversion data query statement corresponding to each calculation date by utilizing a label cube model, and generating a conversion summary query statement corresponding to a calculation time interval; and according to the conversion summary query statement, determining a conversion analysis result of the target customer group for the funnel event. According to the method, the label cube and the window sliding function are combined to jointly realize the reserved transformation analysis of the target customer group, so that complex data calling and calculation are avoided, and the analysis efficiency is improved.

The invention discloses a vehicle scene configuration method, device and equipment, a medium and a computer program product, and relates to the technical field of vehicle application. The method is applied to a central gateway, and comprises the following steps: receiving vehicle scene configuration information through a first interaction process of the central gateway, then generating a scene configuration file according to the vehicle scene configuration information through the first interaction process, and storing the scene configuration file to a target storage address, the target storage address is sent to an engine process of a central gateway, the scene configuration file is acquired from the target storage address through the engine process, and a target vehicle scene corresponding to the scene configuration file is configured according to the scene configuration file. According to the embodiment of the invention, the communication data passing through the central gateway can be directly utilized, the configuration of the user-defined vehicle scene is realized in the central network, the calculation resource generated by calling the data to other modules is avoided to the maximum extent, and the calculation resource cost is saved.

The invention discloses an N-1 fault scene electric power system static safety domain coefficient correction method and device, and the method comprises the steps: carrying out the calculation according to the network parameters of an electric power system, and obtaining a static safety domain coefficient of the electric power system in a fault-free scene; using a static security domain coefficient of the power system in a fault-free scene to represent a power flow transfer degree caused by a set N-1 fault; calculating to obtain the correction of the static security domain coefficient of the power system in the fault-free scene by the power flow transfer caused by the set N-1 fault; and according to the obtained correction amount of the static security domain coefficient of the power system in the fault-free scene, calculating to obtain the static security domain coefficient of the power system in the set N-1 fault scene. Based on the static security domain coefficient in the fault-free scene, the correction method of the security domain coefficient in the fault scene is provided, and the rapid generation of the static security domain coefficient of the electric power system in the N-1 fault scene is realized.

The invention relates to the technical field of network security, and particularly provides a computing power resource scheduling method, device and equipment, a medium and a product, and the method comprises the steps: obtaining alarm information of a target computing power resource; wherein the alarm information is used for indicating the node security state information of the node of the target computing power resource; determining a response strategy of the target computing power resource based on the alarm information; wherein the response strategy is used for indicating a scheduling mode of the target computing power resource; and performing computing power resource scheduling on the target computing power resource based on the response strategy.

The invention provides a digital human marketing interaction method and system based on data processing, and belongs to the technical field of digital human marketing interaction. The method comprises the following steps: displaying a digital human auxiliary marketing mode in response to detection that a first operation of a first user on a human-computer interaction terminal does not conform to expectation; in response to activation of the digital human-assisted marketing mode by a first user, first operation data corresponding to the first operation of the first user on the human-computer interaction terminal is acquired; based on the first operation data, a first auxiliary marketing digital person is generated for the first user, and the first auxiliary marketing digital person provides first auxiliary operation data for the first user; and when the second operation data and the first operation data meet an association condition, multiplexing the first auxiliary marketing digital person for the second user. According to the technical scheme, the efficiency of digital human generation and reproduction can be improved under the condition of limited resource pools, and the occurrence opportunity meets the expectation of a user.

The invention provides a pre-training language model retrieval method and system based on knowledge graph enhancement, and the method comprises the steps: carrying out subgraph division processing on a domain knowledge graph, and generating a subgraph index matched with a user retrieval type; updating the domain knowledge graph and the sub-graph index by adopting an incremental training method of a graph neural network; user query is decomposed into an entity set and a relation path through entity recognition, entity disambiguation, entity linking and relation extraction operation; positioning a corresponding sub-graph index based on the entity set and the relation path, and extracting a related sub-graph from the domain knowledge graph; and respectively coding the head entity, the relationship and the tail entity in the related sub-graph triad into basic vectors, and performing semantic fusion processing on the basic vectors to generate knowledge prompt vectors. The method has the advantages of accurately capturing domain structured association logic and responding to domain dynamic iteration knowledge in real time.

The invention provides a closed space communication optimization method and related equipment thereof. The method comprises the following steps: correcting a received original acceleration according to a space coordinate system, identifying a motion state to generate space motion data, and carrying out correlation analysis on received power of a reference signal according to the space motion data to obtain an early warning mark of signal attenuation and a time window, and determining a target base station from the neighborhood list according to the early warning mark, performing pre-synchronization processing on the target base station to obtain synchronization information of the target base station, and connecting the terminal to the target base station according to the time window and the synchronization information when the signal power between the terminal and the current base station obtained by the terminal is lower than a power threshold. According to the method, the operation state of the closed space is pre-judged in advance, the adjacent region pre-synchronization and switching request is started before the signal is completely attenuated, the weak signal capturing capability is enhanced, and non-inductive transition and rapid reconstruction of communication are realized.

The application provides a personnel safety monitoring method and device and a medium, and relates to the technical field of safety monitoring. In the method, a target monitoring task corresponding to a target object is determined through a personnel state description text of the target object and a standard state feature vector corresponding to a preset safety monitoring task. If the number of the target monitoring tasks is not 0, a target motion path corresponding to the target object is predicted based on the target monitoring task, and a certain number of target camera devices are selected from camera devices passed through by the target motion path. All target monitoring tasks corresponding to the target object are bound to each target camera device, and personnel safety monitoring is performed on the target object according to a face image of the target object and each target monitoring task bound to each target camera device and corresponding to the target object. The target monitoring task can be dynamically determined, and the calling of global camera devices is avoided, which is beneficial to improving the overall monitoring efficiency and response timeliness.