1488 results about "Device type" patented technology

The invention relates to the technical field of login management, in particular to an account-free user unification method and system of a construction and management system based on multimode authentication, and the method comprises the following steps: collecting historical login time, login frequency, login place and equipment type data of a user based on multi-terminal user activity data, and obtaining a historical behavior record of the user; according to the method, the behavior deviation can be identified by comparing and analyzing the current and historical behaviors of the user, then the risk score is calculated, the authentication factor is dynamically adjusted according to the risk score, the flexibility and adaptability of security verification are improved, and the security verification efficiency is improved by binding the real person information of the user to the dynamically adjusted token and adjusting the validity period of the token. The security and effectiveness of token management are effectively improved, close token checking and authority analysis can be performed when a user accesses a downstream system, and the accuracy and security of authorized access are ensured.

An AI-driven system for personalized advertising in real time, where: ◯ an analytics unit to monitor and analyze user behavior in real time across multiple digital platforms such as websites, mobile applications, social media, and smart devices; the unit collects data on user engagement, browsing patterns, time spent, and content preferences to enable targeted, personalized advertising; ◯ a prediction module that predicts preferences and interests of a user, operatively connected to the user interaction data collection unit, wherein the prediction module uses machine learning models such as deep learning, recurrent neural networks (RNNs) and transformer-based architectures to predict interests of users based on historical interactions and inferred preferences; ◯ an emotion and sentiment analysis unit that assesses the user's mood in real time through computer vision, natural language processing (NLP) and voice analysis, whereby the analysis of facial expressions, voice pitch and linguistic mood is used to determine emotional states and receptivity to advertising content; ◯ an embodiment of a context awareness component in operational communication with the emotion analysis and mood unit, in some cases further augmented by various environmental and situational data such as the device type and its physical location, date and time, and the content processed in the device, processing methods, etc., in establishing adaptability and automatic ad placement to be as relevant as possible to the user and their status as prescribed; ◯ Use reinforcement learning algorithms and generative AI models to drive advertising with personalization engines. Creative elements, messaging, and presentations are dynamically adjusted in real time based on user responses to ensure advertising is personalized and always optimized for best performance; o a privacy-focused AI system with federated learning, differential privacy methods, and on-device AI processing to reduce targeted advertising while complying with international data protection laws such as the General Data Protection Regulation (GDPR) and California consumer privacy laws; o an operationally adapted ad delivery mechanism to engage with real-time bidding (RTB) networks, programmatic advertising exchanges and demand-side platforms (DSPs) and place advertisements through digital advertising networks, which guarantees the delivery of tailored advertising to the most relevant audience in real time; and o a contextual feedback loop in which the machine learning models used in the preference and interest prediction module and in advertising personalization The engine is continuously updated to reflect the latest user engagement data, improving personalization over time and optimizing advertising performance.

The invention discloses an intelligent multi-dimensional automatic inspection operation and maintenance management method, device and equipment, relates to the technical field of network inspection, and aims to solve the problems that the inspection efficiency of network equipment is low and fault early warning is lagged. The method comprises the following steps: scanning equipment in a target machine room to establish an equipment registration file, wherein the registration file comprises an equipment type identifier and an associated inspection strategy template; collecting multi-dimensional data of each registered device according to the inspection strategy template, wherein the multi-dimensional data comprises a hardware operation state, a business middleware state and an environment monitoring parameter; determining abnormal data from the multi-dimensional data according to a preset dynamic threshold value, and generating and issuing graded alarm information according to the influence degree of the abnormal data; and creating a work order according to the abnormal data and automatically distributing the work order so as to process the abnormal data.

The invention discloses a security data generation method and device, a storage medium and an electronic device.The method comprises the steps that description information of a target task is obtained, the description information at least comprises a first task attribute corresponding to an equipment type associated with the target task, a second task attribute corresponding to an operation type associated with the target task, and a third task attribute corresponding to an operation step associated with the target task; the description information is used for filling placeholder information in a target template, multiple structured cue words are obtained, and the target template is a cue word template which is retrieved from a pre-constructed template library and related to the target task; and screening out a target cue word from the plurality of structured cue words, and inputting the target cue word into a pre-trained large language model to obtain security data corresponding to the target cue word. The problem of how to improve the generation quality and the generation efficiency of the safety measure data corresponding to the operation ticket and the work ticket is solved.

Disclosed herein are system, method and / or computer program product embodiments, and / or combinations and sub-combinations thereof for providing a platform for developing an application that interacts with a set of IoT devices. An embodiment provides a source code editor that enables a user to generate source code of the application and an application builder that generates an executable version of the application based at least on the generated source code. Generating the source code includes defining an input or output of the application as an event that is mappable to a first set of IoT devices in a first network of IoT devices when the application is installed thereto and to a second set of IoT devices in a second network of IoT devices when the application is installed thereto, the first set of IoT devices including at least one device type not included in the second set of IoT devices.

Techniques for processing with respect to a user input as contextual information is available are described. A system generates a first task prediction using first context data that is available when a user input is received. The system generates a second task prediction (e.g., updated first task prediction) when second context data is received, and then further generates a third task prediction when third context data is received. Example first context data may include device type information, time information, location, etc. Example second context data may include automatic speech recognition (ASR) data. Example third context data may include natural language understanding (NLU) data. Using the third task prediction, the system generates an output responsive to the user input.

Techniques for enforcing policies on Internet of Things (IoT) device communications are disclosed. Information associated with a network communication of an IoT device is received. The received information is used to determine a device profile, including a device type, to associate with the IoT device. A recommended security policy to be applied to the IoT device by a security appliance is generated.

The invention provides a production collaborative management method and system for a digital factory, and the method comprises the steps: calculating an affinity matrix between devices based on the physical positions, communication delays, device types and historical collaborative relationships of the devices, determining the collaborative weights of heterogeneous devices, and obtaining a device collaborative networking scheme; calculating a time sequence score according to the task completion quality, the energy consumption efficiency, the equipment stability and the collaborative adaptability of each equipment group, and performing dynamic weight adjustment in combination with environment monitoring data to obtain an equipment credit score; performing initial task allocation based on the equipment credit score, and performing continuous bias analysis and resource balancing by analyzing data in a task execution process to obtain a dynamic task allocation strategy; and finally, evaluating the collaborative effect of the equipment group according to the task allocation strategy, and dynamically optimizing the equipment group to obtain a collaborative evolution scheme. According to the method, the problem of unreasonable equipment resource allocation is effectively solved through a dynamic evaluation and balance mechanism.

The invention relates to the technical field of Bluetooth communication, and discloses an optimization method for secure communication of Bluetooth chip equipment. The method comprises the following steps: identifying a device type identifier and a protocol version feature, extracting a hardware capability parameter and generating an initial security policy set; collecting channel data, and calculating a stability index and a dynamic noise baseline; then, screening and sorting security policies to generate an execution queue, adjusting an encryption strength threshold according to a noise baseline to perform iterative optimization, and outputting final policy configuration; and when the target Bluetooth chip establishes the communication connection, loading the final security policy configuration and monitoring the channel state in real time, and triggering a policy dynamic switching mechanism when the channel state change exceeds the preset tolerance so as to optimize the security communication effect of the Bluetooth chip equipment. According to the method, the security policy can be accurately matched with the device and the channel state, the policy is dynamically adjusted, and the security and the stability of communication of the Bluetooth chip device are effectively improved.

A method implemented by a cloud-based system includes steps of, responsive to connecting to a user device with a user associated with a first tenant of a plurality of tenants, obtaining security policies for the user that are configured for the tenant, wherein the security policies for the user are the same regardless of connection type, location of the user, and device type and operating system of the user device; stream scanning traffic between the user device and the Internet based on the security policies, wherein the security policies are for firewall and intrusion prevention functions; and one of allowing and blocking the traffic based on the stream scanning.

The invention belongs to the technical field of new energy, and particularly relates to a building configuration method and system for an energy storage system, and the method comprises the steps: obtaining the configuration information of a data collection interface at regular time, and transmitting a message supported by the current communication configuration to the data collection interface, thereby obtaining a connection device; based on the communication parameters of the new access device, searching a communication protocol corresponding to the new access device to obtain the type of the new access device, constructing a device identification instruction to execute query operation, obtaining and analyzing response information returned by the new access device, performing matching identification on the response information and device information in a local communication protocol library, and sending the response information to the local communication protocol library; searching all measuring points of the new access equipment to obtain measuring point data types and measuring point data access permissions, and constructing a measuring point data set; and taking the measuring point data set and the access interface information of the new access equipment as input parameters, calling a local controller configuration program of the energy storage system to perform automatic application of communication configuration, obtaining final communication configuration information and equipment information, and generating a configuration file.

A system and method for inferring device types. A method includes selecting a device type inference model from among a plurality of device type inference models based on a manufacturer of a device, wherein each device type inference model corresponds to a respective manufacturer and is trained using training data of devices manufactured by the respective manufacturer, wherein each device type inference model is trained to output a device type prediction; and determining an inferred device type for the device, wherein determining the inferred device type for the device further comprises applying the selected device type inference model to a plurality of features, wherein the plurality of features is extracted from device activity data indicating ports used by the device and at least one volume of traffic communicated via each port used by the device.

Various embodiments comprise a wireless communication network to qualify user devices for network policy association. In some examples, the wireless communication network comprises a control plane. The control plane detects a registration request for a User Equipment (UE) and registers the UE for network data services. The control plane receives a device type indication from the UE and determines when Policy Control Function (PCF) registration is available based on the device type indication. When the PCF registration is available, the control plane registers with a PCF, receives network policies from the PCF, and transfers a registration accept message with at least some of the network policies to the UE. When PCF registration is not available, the control plane forgoes the PCF registration and transfers the registration accept message to UE without the network polices.

The invention discloses an MQTT message transmission optimization method and system. The method comprises the steps of analyzing a theme, extracting a device type, a data feature and a geographic position triple, calculating a hash value, and mapping a device to a specified Broker fragment cluster node to generate a fragment mapping table; processing the equipment data in the edge domain in the fragment mapping table through an edge calculation layer, removing invalid data according to a preset rule, merging the equipment data in the same fragment node, and embedding a fragment node ID for an aggregation message generated after merging; identifying a fragment node ID and routing to a target fragment node, positioning a corresponding shared memory pool, and writing the message into the shared memory pool; and responding to a direct access request of the client, so that the client directly accesses the data from the shared memory pool through the user mode network stack. According to the method, the problem of uneven load is effectively solved, multiple times of state switching in the data transmission process is avoided, and the MQTT message transmission efficiency is improved while the transmission cost is reduced.

In some embodiments, the present disclosure provides an exemplary method that may include steps of obtaining data associated with a device within a network; determining a software being performed via type information of the device based on a scan of the network and data associated with the device; generating a type label for the device based on the software being performed; and generating, by the processor, a network security map that represents a topology of the network, wherein the network security map maps the device within the topology according to the type label so as to facilitate causing at least one security action with respect to the device within the network.

An incident response notification system may be provided by identifying, at a central service, a plurality of user devices to receive a reaction plan for an ongoing incident in an environment; customizing the reaction plan to produce a plurality of individualized versions, wherein each individualized version corresponds to an individual user device of the plurality of user devices and is customized based a device type of each individual user device and a role of a user associated with each individual user device in responding to the ongoing incident; and transmitting the individualized version to each corresponding individual user device of the plurality of user devices.

The invention relates to the technical field of data security, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a dynamic function menu generation method, device, equipment and medium, which comprises the following steps: acquiring an access request containing equipment type information sent by a user terminal, analyzing an authentication state of a user account and an associated license state, and sending the access request to the user terminal; and generating a dynamic session context defining function access qualification and an interface rendering strategy, loading a function menu strategy model containing function item set and permission mapping, determining a target permission level, matching a target function item subset with a rendering strategy, and generating and sending a function menu instance to the user terminal. The dynamic session context is generated in real time in combination with the user authentication state and the license state, linkage of permission judgment and interface rendering is driven, the function menu has the capacity of dynamic switching according to the session state, menu generation and accurate issuing based on actual authorization and the equipment environment are achieved, and unauthorized access is effectively avoided.

The invention relates to the field of industrial Internet of Things, in particular to an edge computing communication method and system for the industrial Internet of Things, and the method comprises the following steps: 1, a user issues a task to a service platform through a user platform, and after the service platform receives a task request, the service platform sends the task request to the user platform based on a device type and a task type associated with the task; classifying and marking the tasks, and determining real-time levels of the tasks and importance weights of associated production links; 2, the service platform transmits the classified tasks to a corresponding service sub-platform, the service sub-platform obtains historical operation data and edge node basic information of task associated equipment, generates a first calculation task carrying a task attribute tag according to a classification result, and sends the first calculation task to a management platform; and step 3, the management platform carries out unified management on the plurality of first computing tasks. By adopting the technical scheme of the invention, industrial scene characteristics can be fit, and task priority, resource dynamics and network adaptability are considered.

The invention discloses a multi-terminal collaborative modular power operation and maintenance method and system based on digital twinning, and the method comprises the following steps: constructing a global power topological graph of a power energy site, mapping power equipment, sensors and connecting lines into graph nodes and graph edges, and binding the static attributes of the equipment with the topological structure; and acquiring real-time operation data of the power equipment, and distributing a unified time label for the multi-source heterogeneous data. According to the method, a unified twinborn model of cross-voltage class, cross-region and cross-equipment type is established in a digital twinborn platform, and operation data of different equipment such as photovoltaic equipment, battery energy storage equipment, an inverter, a protection device, an electric energy meter and temperature control equipment are expressed in a unified data semantic mode; according to the invention, the system can still automatically establish a consistent device portrait under the conditions of a large number of multi-terminal devices and diversified communication protocols, and the multi-terminal cooperative computing capability is significantly improved.

A system and method for inferring device types. A method includes selecting a device type inference model from among a plurality of device type inference models based on a manufacturer of a device, wherein each device type inference model corresponds to a respective manufacturer and is trained using training data of devices manufactured by the respective manufacturer, wherein each device type inference model is trained to output a device type prediction; and determining an inferred device type for the device, wherein determining the inferred device type for the device further comprises applying the selected device type inference model to a plurality of features, wherein the plurality of features is extracted from device activity data indicating ports used by the device and at least one volume of traffic communicated via each port used by the device.

Touchscreen devices, designed with an assumed range of user abilities and interaction patterns, often present challenges for individuals with diverse abilities to operate independently. Prior efforts to improve accessibility through tools or algorithms necessitated alterations to touchscreen hardware or software, making them inapplicable for the large number of existing legacy devices. This disclosure introduces a hardware interaction proxy that performs physical interactions on behalf of users while allowing them to continue utilizing accessible interfaces, such as screen readers and assistive touch on smartphones, for interface exploration and command input. The proxy maintains an interface model for accurate target localization and utilizes exchangeable actuators for physical actuation across a variety of device types, effectively reducing user workload and minimizing the risk of mistouch. Evaluations reveal that this approach lowers the mistouch rate and empowers visually and motor impaired users to interact with otherwise inaccessible physical touchscreens more effectively.

The invention relates to the technical field of equipment management, in particular to an equipment configuration method and device and related equipment. The method comprises the following steps: acquiring equipment type information of target equipment and a parameter value of each parameter node of the target equipment to be configured; on the basis of the device type of the target device, obtaining a parameter node from a mapping relation between each parameter node included in the device configuration of each type of device and each parameter node included in the general configuration; determining a target mapping relationship between parameter nodes included in target equipment configuration corresponding to the target equipment and parameter nodes included in general configuration; generating a data configuration file for configuring the target equipment based on the parameter values of the parameter nodes of the target equipment and the target mapping relation; and issuing the data configuration file to the target device.

The present disclosure generally relates to user interfaces and techniques for managing audio exposure using a computer system (e.g., an electronic device). In accordance with some embodiments, the electronic device displays a graphical indication of a noise exposure level over a first period of time with an area of the graphical indication that is colored to represent the noise exposure level, the color of the area transitioning from a first color to a second color when the noise exposure level exceeds a first threshold. In accordance with some embodiments, the electronic device displays noise exposure levels attributable to a first output device type and a second output device type and, in response to selecting a filtering affordance, visually distinguishes a set of noise exposure levels attributable to the second output device type.

A user equipment (UE) executes a radio access method. The UE receives an inquiry of device type related information from a base station and transmits device type related information from the extended device type UE. The device type related information shows support of UE capability which includes a feature of device type identification via transmission of Msg1, MsgA, or Msg3 from the extended device type UE during a random access procedure of a random access scheme adopted by the extended device type UE. The UE receives a synchronization signal block (SSB) from the base station, wherein the SSB is within a separate initial downlink bandwidth part (BWP) specific to the extended device type UE. The UE transmits a preamble on a physical random access channel (PRACH) resource to the base station. The PRACH resource is within a separate initial uplink BWP specific to the extended device type UE.

The invention provides a flow and form decoupling cooperative processing method, and relates to the technical field of business flow management, and the method comprises the steps: constructing a layered architecture, separating a flow control layer from a form service layer, defining a flow node jump rule by the flow control layer based on a BPMN standard, and dynamically defining a form structure by the form service layer through JSON Schema; a form identifier is declarated in the process definition file, a corresponding form template is matched through a dynamic mapping service according to context information, and the context information comprises a process instance state, a user role, a device type and a service type; establishing a data sandbox isolation mechanism, generating a unique data space identifier for each process instance, and managing data access authority through a multi-dimensional isolation strategy of a tenant level, a service level and a process instance level; deploying an event bus communication mechanism, triggering two-way communication between a process engine and a form engine through a predefined event type, and ensuring the consistency of cross-system operation by adopting a transaction compensation mechanism.

The invention discloses a computing task processing method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to a received to-be-processed calculation task, determining a task resource demand and a priority of the to-be-processed calculation task; determining a computing device type meeting the task resource requirement, and determining the real-time load and performance of candidate computing devices corresponding to the computing device type; and determining a target computing device according to the task resource demand, the priority and the real-time load and performance of the candidate computing device, so as to process the to-be-processed computing task through the target computing device. According to the technical scheme, the performance advantages of different types of computing devices can be brought into full play, the processing efficiency of the computing task is improved, meanwhile, load balancing of the computing devices can be achieved, and the stability and reliability of the system are enhanced.

The application describes a no coding integration approach for any web service by using a challenge interface as a middleware intermediate between a public application programming interface (API) and a challenge service so that any changes made in challenge protocols are implemented at the challenge interface. The challenge interface includes a rule engine that dynamically executes rules and evaluates suspicious signals from requests to automatically decide how many challenges and what kind of challenges are needed to satisfy a current request. The user interface provided to the user device automatically updates for different challenge types through an interceptor approach. The user interface works for all supported device types, including browsers, mobile devices, and native applications.

The invention provides an automatic generation method, a model training method and device, equipment, a medium and a product, and relates to the field of emergency management. The automatic generation method comprises the following steps: setting a communication mode, and inputting a shot picture of target equipment into a preset automatic generation networking scheme model to obtain an equipment number, an equipment name, an equipment type and at least one networking scheme which are output by the automatic generation networking scheme model and correspond to the target equipment; obtaining a target communication link according to the link resource and the bandwidth; obtaining a network topological graph corresponding to each networking scheme according to the device number, the device name, the device type, the at least one networking scheme and the target communication link; and according to the at least one network topological graph, obtaining a communication network graph so as to connect the target device according to the communication network graph. The communication network diagram is obtained through the method, and the target equipment is connected according to the communication network diagram, so that the efficiency of connecting the field communication equipment is improved.

The invention discloses an Internet of Things equipment automatic identification method and device based on a cellular network environment and a storage medium, and the method comprises the following steps: S1, collecting IP flow information of Internet of Things equipment, exporting record data, and storing the record data to a flow data storage module; s2, extracting equipment traffic features, generating feature vectors, and storing the feature vectors in a feature database; s3, training an equipment identification model by using an improved structure sparse variational automatic encoder in combination with a space-time diagram convolutional network, and extracting an equipment traffic mode and behavior topological characteristics; s4, optimizing model training by adopting a category balance loss function; s5, collecting real-time flow data of to-be-identified equipment, converting the real-time flow data into feature vectors, inputting the feature vectors into the identification model, and calculating a matching result through cosine similarity; and S6, setting a similarity threshold value, outputting the type and the model of the equipment, or marking and storing unknown equipment. According to the method, the identification accuracy and the real-time performance are improved, and the identification capability of the shared IP equipment and the small sample equipment is enhanced.

The embodiment of the invention provides a memory resource allocation method and electronic equipment, and relates to the field of computers.The method comprises the steps that a first resource reference value corresponding to a slot position is determined from a plurality of memory resource reference values corresponding to a plurality of equipment types, the slot position supports equipment insertion of the multiple equipment types, and the first resource reference value corresponds to the slot position; one device type corresponds to one resource reference value; adjusting the first resource reference value based on the physical attribute of the slot position and the performance attribute of the slot position to obtain a second resource reference value corresponding to the slot position, and pre-allocating a reference memory resource of the second resource reference value to the slot position; when it is detected that the target device is effectively inserted into the slot position, determining a target resource demand value corresponding to the target device according to the register information of the target device; and allocating a target memory resource of the target resource demand value to the target device from the reference memory resources.